Abstract

The DNA damage response (DDR) encompasses the detection and repair of DNA lesions and is fundamental to the maintenance of genome integrity. Germ line DDR alterations underlie hereditary chromosome instability syndromes by promoting the acquisition of pathogenic structural variants in hematopoietic cells, resulting in increased predisposition to hematologic malignancies. Also frequent in hematologic malignancies are somatic mutations of DDR genes, typically arising from replication stress triggered by oncogene activation or deregulated tumor proliferation that provides a selective pressure for DDR loss. These defects impair homology–directed DNA repair or replication stress response, leading to an excessive reliance on error-prone DNA repair mechanisms that results in genomic instability and tumor progression. In hematologic malignancies, loss-of-function DDR alterations confer clonal growth advantage and adverse prognostic impact but may also provide therapeutic opportunities. Selective targeting of functional dependencies arising from these defects could achieve synthetic lethality, a therapeutic concept exemplified by inhibition of poly-(adenosine 5′-diphosphate ribose) polymerase or the ataxia telangiectasia and Rad 3 related-CHK1-WEE1 axis in malignancies harboring the BRCAness phenotype or genetic defects that increase replication stress. Furthermore, the role of DDR defects as a source of tumor immunogenicity, as well as their impact on the cross talk between DDR, inflammation, and tumor immunity are increasingly recognized, thus providing rationale for combining DDR modulation with immune modulation. The nature of the DDR–immune interface and the cellular vulnerabilities conferred by DDR defects may nonetheless be disease-specific and remain incompletely understood in many hematologic malignancies. Their comprehensive elucidation will be critical for optimizing therapeutic strategies to target DDR defects in these diseases.

The integrity of the human genome is continuously challenged by DNA damage. To survive, human cells rely on the DNA damage response (DDR) that recognize and repair damaged DNA. DNA damage signals are propagated through 2 signaling pathways, the ataxia telangiectasia mutated (ATM)-Chk2 pathway that responds to DNA double-strand breaks (DSBs), and the ataxia telangiectasia and Rad 3 related (ATR)-Chk1 pathway that responds primarily to replication stress. Two possible outcomes ensue, either repair and resolution of the incipient DNA damage, or induction of p53-mediated apoptosis in the case of irreparable damage. As the most deleterious of DNA lesions, DSBs are repaired through nonhomologous end-joining (NHEJ) and homologous recombination repair (HRR). The removal of replication obstacles necessitates other repair mechanisms such as nucleotide excision repair (NER) and ribonucleotide excision repair in addition to DSB repair.

As critical tumor suppressors, DDR signaling and DNA repair mechanisms are frequently inactivated in hematologic malignancies, promoting tumor progression, and conferring an adverse prognostic impact. Although therapeutic vulnerabilities resulting from DDR defects present opportunities for precision medicine, this has yet to be realized in hematologic malignancies. In this review, we present an account of the DDR defects that frequently occur in hematologic malignancies, focusing on how these defects contribute to tumorigenesis, how they interact with the immune microenvironment, and how they can be exploited as therapeutic targets. We discuss recent advances and identify key unresolved questions as opportunities for future research.

The connection between defective DDR and hematologic malignancies was first established through the characterization of germ line DDR alterations that underlie constitutional syndromes with an inherited predisposition to hematologic malignancies (Figure 1). However, more frequent in hematologic malignancies are acquired DDR defects arising from somatic mutations and copy number alterations.

Figure 1.

Major developments in our understanding of DDR in hematologic malignancies. Key milestones are shown encompassing the discovery of chromosome instability syndromes and functions of DDR pathway genes, the identification of DDR defects as cancer drivers and the development of therapies to target these defects.

Inherited DDR defects predisposing to hematologic malignancies

Chromosomal instability syndromes are predominantly autosomal recessive disorders resulting in defects within proteins important for HRR (Table 1; Figure 2).1 In Fanconi anemia (FA), FANC mutations undermine the HRR of DNA interstrand crosslinks arising from endogenous metabolites such as reactive aldehydes.2 Unresolved interstrand crosslinks cause replication stress and p53-dependent apoptosis that results in bone marrow failure.3,4 In patients with FA, the crucial tumor-suppressive role of p53 was recently highlighted by the discovery of structural variants arising and evolving in myeloid progenitor cells in the context of enforced MDM4 activity that represses p53,5,6 thus underlying their predisposition to clonal hematopoiesis, myelodysplastic syndrome (MDS), and acute myeloid leukemia (AML).

Table 1.

Chromosomal instability syndromes with inherited predisposition to hematologic malignancies

Fanconi anemiaNijmegen breakage syndromeAtaxia telangiectasiaBloom syndrome
Causative mutation FANC genes, most commonly FANCA, FANCC, and FANCG NBN ATM BLM 
Gene function Mediates DNA interstrand cross link repair that involves cross link detection, nucleolytic processing, translesion synthesis, HRR, and DNA duplex restoration Recognizes DSBs through its involvement in the MRN complex, thereby activating ATM Phosphorylates proteins to regulate DDR pathways that mediate repair of DSBs through HRR and/or NHEJ Mediates convergent branch migration and resolution of Holliday junctions, a 4-stranded intermediate DNA structure, during homologous recombination repair of DSBs 
Participates in DNA end resection during DNA repair 
DDR defect Interstrand crosslink repair DSB detection and sensing Cellular response to DSBs HRR 
Cell-intrinsic effects Chromosomal breakage and accumulation of structural variants due to unrepaired ICLs from endogenous DNA damage (eg, reactive aldehydes)
Hypersensitivity to ICL-inducing agents 
Chromosomal translocations and genetic instability arising from failure to repair DSBs
Hypersensitivity to ionizing radiation 
Chromosomal translocations and genetic instability arising from failure to repair DSBs
Hypersensitivity to ionizing radiation 
Defective DNA end resection and the dissolution of Holliday junctions
Impaired replication fork stability and increased risk of sister-chromatid exchanges, chromosomal breakage, and rearrangements 
Hematologic features Bone marrow failure (90%), pancytopenia, aplastic anemia, and predisposition to MDS/AML (33% prevalence by the age of 50 y) Predisposition to lymphoid malignancies (40% prevalence by the age of 20 y), of which 45% are B-cell lymphomas, and 55% are T-cell lymphomas Predisposition to B and T-cell lymphoid malignancies particularly in childhood; B-NHL represents 37% of all tumors observed in patients with AT Predisposition to leukemia (AML and ALL) and lymphoma (median age of onset, 20 y) 
Pathogenic mechanism Damaged HSCs are genetically unstable, and undergo senescence and p53-dependent apoptosis Unrepaired DSBs promote meiotic and somatic recombination in cells of the adaptive immune system Unrepaired DSBs promote meiotic and somatic recombination in cells of the adaptive immune system Genome instability in hematopoietic cells caused by defective maintenance and dissolution of double Holliday junctions 
Prevalence 5 per million Very rare worldwide but higher prevalence in central and eastern Europe 3 per million 2 per million 
Inheritance Autosomal recessive (98%) Autosomal recessive Autosomal recessive Autosomal recessive 
X-linked recessive (2%) 
Recent mechanistic and therapeutic discoveries FA genomic signature involves structural variants enriched for deletions, duplications, and unbalanced translocations, such as trisomy MDM4 that downregulates p53, promoting clonal hematopoiesis, and leukemogenesis5,6 
EXO1 limits replication stress and DNA damage in FA to counteract formaldehyde-induced ICLs and genomic instability7  
MRN complex prevents genomic instability by regulating resolution of R-loops8 
MRN dimers can further dimerize during response to DNA DSBs to facilitate both catalytic and tethering functions of MRN complexes9  
ATM plays a role in the regulation of centrosome clustering and resolution of R-loops10,11
New strategies for reestablishing ATM function in vivo include splice-switching as well as suppression of nonsense mutations using tRNAs with altered anticodons12,13  
BLM helicase mediates DNA end processing through formation of large single-stranded DNA loops14 
BLM syndrome protein complex functions as a hetero-tetramer that involves BLM, Topo IIIα, RMI1, and RMI2. Within that complex, truncated BLM allele can exert a dominant-negative effect15  
Fanconi anemiaNijmegen breakage syndromeAtaxia telangiectasiaBloom syndrome
Causative mutation FANC genes, most commonly FANCA, FANCC, and FANCG NBN ATM BLM 
Gene function Mediates DNA interstrand cross link repair that involves cross link detection, nucleolytic processing, translesion synthesis, HRR, and DNA duplex restoration Recognizes DSBs through its involvement in the MRN complex, thereby activating ATM Phosphorylates proteins to regulate DDR pathways that mediate repair of DSBs through HRR and/or NHEJ Mediates convergent branch migration and resolution of Holliday junctions, a 4-stranded intermediate DNA structure, during homologous recombination repair of DSBs 
Participates in DNA end resection during DNA repair 
DDR defect Interstrand crosslink repair DSB detection and sensing Cellular response to DSBs HRR 
Cell-intrinsic effects Chromosomal breakage and accumulation of structural variants due to unrepaired ICLs from endogenous DNA damage (eg, reactive aldehydes)
Hypersensitivity to ICL-inducing agents 
Chromosomal translocations and genetic instability arising from failure to repair DSBs
Hypersensitivity to ionizing radiation 
Chromosomal translocations and genetic instability arising from failure to repair DSBs
Hypersensitivity to ionizing radiation 
Defective DNA end resection and the dissolution of Holliday junctions
Impaired replication fork stability and increased risk of sister-chromatid exchanges, chromosomal breakage, and rearrangements 
Hematologic features Bone marrow failure (90%), pancytopenia, aplastic anemia, and predisposition to MDS/AML (33% prevalence by the age of 50 y) Predisposition to lymphoid malignancies (40% prevalence by the age of 20 y), of which 45% are B-cell lymphomas, and 55% are T-cell lymphomas Predisposition to B and T-cell lymphoid malignancies particularly in childhood; B-NHL represents 37% of all tumors observed in patients with AT Predisposition to leukemia (AML and ALL) and lymphoma (median age of onset, 20 y) 
Pathogenic mechanism Damaged HSCs are genetically unstable, and undergo senescence and p53-dependent apoptosis Unrepaired DSBs promote meiotic and somatic recombination in cells of the adaptive immune system Unrepaired DSBs promote meiotic and somatic recombination in cells of the adaptive immune system Genome instability in hematopoietic cells caused by defective maintenance and dissolution of double Holliday junctions 
Prevalence 5 per million Very rare worldwide but higher prevalence in central and eastern Europe 3 per million 2 per million 
Inheritance Autosomal recessive (98%) Autosomal recessive Autosomal recessive Autosomal recessive 
X-linked recessive (2%) 
Recent mechanistic and therapeutic discoveries FA genomic signature involves structural variants enriched for deletions, duplications, and unbalanced translocations, such as trisomy MDM4 that downregulates p53, promoting clonal hematopoiesis, and leukemogenesis5,6 
EXO1 limits replication stress and DNA damage in FA to counteract formaldehyde-induced ICLs and genomic instability7  
MRN complex prevents genomic instability by regulating resolution of R-loops8 
MRN dimers can further dimerize during response to DNA DSBs to facilitate both catalytic and tethering functions of MRN complexes9  
ATM plays a role in the regulation of centrosome clustering and resolution of R-loops10,11
New strategies for reestablishing ATM function in vivo include splice-switching as well as suppression of nonsense mutations using tRNAs with altered anticodons12,13  
BLM helicase mediates DNA end processing through formation of large single-stranded DNA loops14 
BLM syndrome protein complex functions as a hetero-tetramer that involves BLM, Topo IIIα, RMI1, and RMI2. Within that complex, truncated BLM allele can exert a dominant-negative effect15  

ALL, acute lymphoblastic leukemia; BLM, Bloom; B-NHL, B-cell non-Hodgkin lymphoma; ICLs, interstrand crosslinks; MRN, MRE11-RAD50-NBS1; RMI1, RecQ–mediated genome instability 1; RMI2, RecQ–mediated genome instability 2; Topo IIIα, DNA topoisomerase-3α; tRNA, transfer RNA.

Figure 2.

DDR defects in hematologic malignancies. The core FA complex and its downstream effectors are involved in the recognition and resolution of interstrand crosslinks (ICLs). ATM phosphorylates Chk1 and p53 as a prerequisite for induction of apoptosis in the presence of DNA damage. NBN regulates ATM–dependent DNA damage signaling and DNA DSB end resection, whereas BLM mediates replication fork stability. SAMHD1 participates in the processing of stalled replication forks that require HRR for their resolution. The spliceosome component SF3B1 regulates the level of BRCA1, a scaffold protein that facilitates the assembly of HRR effectors, whereas the cohesin complex (STAG2, RAD21, SMC1, and SMC3) regulates HRR by holding sister chromatids in proximity to facilitate strand invasion. MSH2, MSH6, PMS2, and MLH1 are components of MMR. RNase H2 has a role in RER involving the resolution of ribonucleotides erroneously embedded during DNA replication. Proteins acting upstream of HRR are presented in colored boxes if altered in hematologic malignancies, or white boxes if not.

In contrast, patients with Nijmegen breakage syndrome or ataxia telangiectasia (AT) exhibit impaired response to DSBs attributed respectively to mutations in nibrin, a component of the MRN (MRE11-RAD50-NBS1) complex critical for DSB detection, or ATM that coordinates DSB response, resulting in an increased susceptibility to lymphoid malignancies secondary to immune system gene rearrangements. Heightened risk for both myeloid and lymphoid malignancies is characteristic of Bloom syndrome due to pathognomonic mutations in BLM, a component of HRR essential for the maintenance of replication fork stability. Recent mechanistic and therapeutic discoveries into these chromosomal instability syndromes are highlighted in Table 1.5-15 Additionally, as detailed in Table 2, germ line variants of DDR genes such as ATM, CHEK2, and mismatch repair genes are known risk alleles for sporadic hematologic cancers.16-22 

Table 2.

Potentially important germ line variants in DDR genes across hematologic malignancies

GeneDiseaseVariantFrequency (%)StudyStrength of associationCohort sizeCellular and clinical consequences
ATM CLL F858L 1.4 Rudd et al, 200616  OR, 2.28; P < .0001 992 pts; 2 707 healthy controls Attenuated p53 response to DNA damage; selective pressure for the loss of the second ATM allele through 11q deletion; earlier disease onset. 
P1054R 2.8 OR, 1.68; P = .0006 
L2307F 2.3 Tiao et al, 201717  OR, 10.1; P < .05 516 pts; 8 920 healthy controls 
2.8 Lampson et al, 202318  2.8% vs 0% (CLL vs healthy); P = .1 825 pts; 143 healthy controls 
CHEK2 CLL I157T Rudd et al, 200616  OR, 14.83; P = .0008 992 pts; 2 707 healthy controls Loss of G1/S cell cycle checkpoint; earlier acquisition of JAK2 V617F mutation and younger age of onset of ET. 
ET IVS2+1G>A 2.8 Janiszewska et al, 201219  OR, 5.8; P = .02 106 pts; 200 healthy controls 
I157T 9.4 OR, 2.8; P = .04 
del5395 1.9 OR, 3.8; P = .09 
AML c.1229delC 2.0  Yang et al, 202220  OR, 1.21; P = .79 391 pts In silico protein modeling of CHEK2 sequence variants predicts a deleterious impact on protein function. 
I200T OR, 0.51; P = .3 
S471F Not reported 
R188W 
H186R 
R160G 
T410M 
BRCA2 CLL N372H 2.9 Rudd et al, 200616  OR, 1.45; P = .0032 992 pts; 2 707 healthy controls  
MLH3 DLBCL C40Y de Miranda et al, 201321,22  5% vs 0.002% (DLBCL vs healthy); P < .01 22 pts; 60 000 healthy controls Association with MSI and genomic instability; loss of high-fidelity postreplicative DNA damage repair and protection from off-target effects of AID. 
I988M 5% vs 0.002% (DLBCL vs healthy); P < .01 
L111F 5% vs 0.0008% (DLBCL vs healthy); P < .01 
MSH3 DLBCL P657S de Miranda et al, 201321,22  5% vs 0.003% (DLBCL vs healthy); P < .01 22 pts; 60 000 healthy controls 
R1061G 9% vs 0.02% (DLBCL vs healthy); P < .01 
GeneDiseaseVariantFrequency (%)StudyStrength of associationCohort sizeCellular and clinical consequences
ATM CLL F858L 1.4 Rudd et al, 200616  OR, 2.28; P < .0001 992 pts; 2 707 healthy controls Attenuated p53 response to DNA damage; selective pressure for the loss of the second ATM allele through 11q deletion; earlier disease onset. 
P1054R 2.8 OR, 1.68; P = .0006 
L2307F 2.3 Tiao et al, 201717  OR, 10.1; P < .05 516 pts; 8 920 healthy controls 
2.8 Lampson et al, 202318  2.8% vs 0% (CLL vs healthy); P = .1 825 pts; 143 healthy controls 
CHEK2 CLL I157T Rudd et al, 200616  OR, 14.83; P = .0008 992 pts; 2 707 healthy controls Loss of G1/S cell cycle checkpoint; earlier acquisition of JAK2 V617F mutation and younger age of onset of ET. 
ET IVS2+1G>A 2.8 Janiszewska et al, 201219  OR, 5.8; P = .02 106 pts; 200 healthy controls 
I157T 9.4 OR, 2.8; P = .04 
del5395 1.9 OR, 3.8; P = .09 
AML c.1229delC 2.0  Yang et al, 202220  OR, 1.21; P = .79 391 pts In silico protein modeling of CHEK2 sequence variants predicts a deleterious impact on protein function. 
I200T OR, 0.51; P = .3 
S471F Not reported 
R188W 
H186R 
R160G 
T410M 
BRCA2 CLL N372H 2.9 Rudd et al, 200616  OR, 1.45; P = .0032 992 pts; 2 707 healthy controls  
MLH3 DLBCL C40Y de Miranda et al, 201321,22  5% vs 0.002% (DLBCL vs healthy); P < .01 22 pts; 60 000 healthy controls Association with MSI and genomic instability; loss of high-fidelity postreplicative DNA damage repair and protection from off-target effects of AID. 
I988M 5% vs 0.002% (DLBCL vs healthy); P < .01 
L111F 5% vs 0.0008% (DLBCL vs healthy); P < .01 
MSH3 DLBCL P657S de Miranda et al, 201321,22  5% vs 0.003% (DLBCL vs healthy); P < .01 22 pts; 60 000 healthy controls 
R1061G 9% vs 0.02% (DLBCL vs healthy); P < .01 

AID, activation-induced cytidine deaminase; ET, essential thrombocythemia; MSI, microsatellite instability; OR, odds ratio; pts, patients.

Frequency shown represents that of all variants combined.

Acquired DDR defects in hematologic malignancies

Recent large-scale genomic studies in major hematologic tumor types have uncovered putative drivers involving somatic alterations in DDR genes. Among significantly mutated or deleted genes are those essential for DDR signaling (ATM, ATR, CHEK2, and TP53), DSB repair (BRCA1, PALB2, DYRK1A, and BRCC3; and the cohesin subunits STAG2, SMC1A, SMC3, and STAG2), replication stress response (SAMHD1 and RNASEH2B), and chromatin remodeling (ARID1A). The frequency of these genomic lesions in different tumor types, as well as their specific DDR function and pathogenic mechanism, are summarized in Table 3.23-43 

Table 3.

Acquired DDR alterations in hematologic malignancies and their functional consequences

GeneMalignancyFrequencyDriverGene functionValidated or putative pathogenic mechanism
ATM CLL 11% (mut); 13% (del)23  Validated Master regulator of DDR that recognizes DSBs and coordinates cellular response, involving cell cycle arrest, DSB repair, and/or apoptosis. Atm deletion cooperates with mutant Sf3b1 to induce CLL.37 Loss of Atm leads to high-risk CLL in Eμ:TCL1 mice.38 ATM deficiency promotes the development of DLBCL in T-cell deficient mice.39  
MCL 34% (mut); 29% (del)24  
T-PLL 54% (mut); 65% (del)25  
DLBCL 7.2% (mut or del)26  
SMZL 7.8% (mut)27  
MM 4.7% (mut or del)28  
CHEK2 T-PLL 4% (mut)25  Putative Induces G1 cell cycle arrest and prevents entry into mitosis in response to DNA DSBs.  
SMZL 1.1% (mut)27  
ATR MM 1% (mut)28  Putative Master regulator of DDR that recognizes SSBs and replication stress, leading to cell cycle arrest and stabilization of replication forks. ATR downregulation supports early tumor development in Myc–driven lymphoma models but can be tumor-suppressive at later stages.40 Consequences of ATR mutations have yet to be confirmed in MM. 
TP53 AML 6% (mut); 5% (del)29  Validated In response to DNA DSBs activates the G2 cell cycle checkpoint. Activates apoptosis in the presence of excess DNA DSBs. CRISPR drop-out screen identifies p53 as a tumor suppressor in DLBCL.26,Trp53 loss cooperates with 5q and Flt3 haploinsufficiency to induce AML in mice.41 Loss of Trp53 leads to high-risk CLL in Eμ:TCL1 mice.38  
CML BC 7.5% (mut), 13% (del)30  
ALL 2.9% (mut)31  
CLL 9.1% (mut); 6.7% (del)23  
MCL 31% (mut); 34% (del)24  
DLBCL 10% (mut or del)26  
SMZL 11% (mut)27  
FL 12% (mut)32  
BRCA1 DLBCL 3.1% (mut)33  Putative Facilitates assembly of HRR proteins BRAC1 and PALB2 mutations may induce BRCAness and genomic instability (putative). 
PALB2 AML 5.2% (del)34  Putative Acts as a hub to bring together BRCA1, BRCA2, and RAD51, thereby facilitating HRR. BRAC1 and PALB2 mutations may induce BRCAness and genomic instability (putative). 
RAD21 AML 4.2% (mut)29  Putative Cohesin complex. Redistributes unfired replication origins along the chromatin loops and prevents early initiation of dormant origins. Regulates sister-chromatid cohesion, homologous recombination, and DNA looping important for organization of the genome. Cohesin complex acts as a growth regulator of HSCs. Cohesin mutations perturb the balance between HSC self-renewal and differentiation.42  
SMC1A 2.7% (mut)35  
SMC3 2.9% (mut)35  
STAG2 2.9% (mut)29  
DYRK1A CLL 1% (mut)23  Putative Inhibits accumulation of 53BP1 at DSB sites, thereby promoting HRR in preference to NHEJ. DYRK1A mutations may lead to hyperactive HRR and chromosome dysfunction (putative). 
BRCC3 CLL 1.5% (mut)23  Putative Sequesters BRCA1 away from DSBs and promotes NHEJ in preference to HRR. BRCC3 mutations may lead to hyperactive NHEJ and genomic instability (putative). 
SMZL 0.7% (mut)27  
SAMHD1 CLL 1.4% (mut)23  Putative Regulates cellular nucleoside pools and mediates the processing of stalled replication forks. SAMHD1 mutations may exacerbate replication stress and genomic instability (putative). 
MCL 4% (mut)24  
SMZL 1.9% (mut)27  
RNASEH2B CLL 34% (monoallelic del);36  Putative Mediates RER and resolution of R-loops. In the absence of functional RNase H2, ribonucleotides are removed through an error-prone, TOP1-mediated microhomology-directed repair process that results in 2-5 bp deletions and genomic instability.43  
14% (biallelic del)36  
ARID1A ALL 1.1% (mut)31  Putative Component of the chromatin remodeling complex SWI/SNF. Regulates G2/M cell cycle checkpoint, promotes DSB resection, and activates ATR. ARID1A mutations may promote tumor initiation through deregulating gene expression and developmental programs (putative). 
GeneMalignancyFrequencyDriverGene functionValidated or putative pathogenic mechanism
ATM CLL 11% (mut); 13% (del)23  Validated Master regulator of DDR that recognizes DSBs and coordinates cellular response, involving cell cycle arrest, DSB repair, and/or apoptosis. Atm deletion cooperates with mutant Sf3b1 to induce CLL.37 Loss of Atm leads to high-risk CLL in Eμ:TCL1 mice.38 ATM deficiency promotes the development of DLBCL in T-cell deficient mice.39  
MCL 34% (mut); 29% (del)24  
T-PLL 54% (mut); 65% (del)25  
DLBCL 7.2% (mut or del)26  
SMZL 7.8% (mut)27  
MM 4.7% (mut or del)28  
CHEK2 T-PLL 4% (mut)25  Putative Induces G1 cell cycle arrest and prevents entry into mitosis in response to DNA DSBs.  
SMZL 1.1% (mut)27  
ATR MM 1% (mut)28  Putative Master regulator of DDR that recognizes SSBs and replication stress, leading to cell cycle arrest and stabilization of replication forks. ATR downregulation supports early tumor development in Myc–driven lymphoma models but can be tumor-suppressive at later stages.40 Consequences of ATR mutations have yet to be confirmed in MM. 
TP53 AML 6% (mut); 5% (del)29  Validated In response to DNA DSBs activates the G2 cell cycle checkpoint. Activates apoptosis in the presence of excess DNA DSBs. CRISPR drop-out screen identifies p53 as a tumor suppressor in DLBCL.26,Trp53 loss cooperates with 5q and Flt3 haploinsufficiency to induce AML in mice.41 Loss of Trp53 leads to high-risk CLL in Eμ:TCL1 mice.38  
CML BC 7.5% (mut), 13% (del)30  
ALL 2.9% (mut)31  
CLL 9.1% (mut); 6.7% (del)23  
MCL 31% (mut); 34% (del)24  
DLBCL 10% (mut or del)26  
SMZL 11% (mut)27  
FL 12% (mut)32  
BRCA1 DLBCL 3.1% (mut)33  Putative Facilitates assembly of HRR proteins BRAC1 and PALB2 mutations may induce BRCAness and genomic instability (putative). 
PALB2 AML 5.2% (del)34  Putative Acts as a hub to bring together BRCA1, BRCA2, and RAD51, thereby facilitating HRR. BRAC1 and PALB2 mutations may induce BRCAness and genomic instability (putative). 
RAD21 AML 4.2% (mut)29  Putative Cohesin complex. Redistributes unfired replication origins along the chromatin loops and prevents early initiation of dormant origins. Regulates sister-chromatid cohesion, homologous recombination, and DNA looping important for organization of the genome. Cohesin complex acts as a growth regulator of HSCs. Cohesin mutations perturb the balance between HSC self-renewal and differentiation.42  
SMC1A 2.7% (mut)35  
SMC3 2.9% (mut)35  
STAG2 2.9% (mut)29  
DYRK1A CLL 1% (mut)23  Putative Inhibits accumulation of 53BP1 at DSB sites, thereby promoting HRR in preference to NHEJ. DYRK1A mutations may lead to hyperactive HRR and chromosome dysfunction (putative). 
BRCC3 CLL 1.5% (mut)23  Putative Sequesters BRCA1 away from DSBs and promotes NHEJ in preference to HRR. BRCC3 mutations may lead to hyperactive NHEJ and genomic instability (putative). 
SMZL 0.7% (mut)27  
SAMHD1 CLL 1.4% (mut)23  Putative Regulates cellular nucleoside pools and mediates the processing of stalled replication forks. SAMHD1 mutations may exacerbate replication stress and genomic instability (putative). 
MCL 4% (mut)24  
SMZL 1.9% (mut)27  
RNASEH2B CLL 34% (monoallelic del);36  Putative Mediates RER and resolution of R-loops. In the absence of functional RNase H2, ribonucleotides are removed through an error-prone, TOP1-mediated microhomology-directed repair process that results in 2-5 bp deletions and genomic instability.43  
14% (biallelic del)36  
ARID1A ALL 1.1% (mut)31  Putative Component of the chromatin remodeling complex SWI/SNF. Regulates G2/M cell cycle checkpoint, promotes DSB resection, and activates ATR. ARID1A mutations may promote tumor initiation through deregulating gene expression and developmental programs (putative). 

ALL, acute lymphoblastic leukemia; BC, blast crisis; bp, base pair; CML, chronic myeloid leukemia; del, deletion; FL, follicular lymphoma; MCL, mantle cell lymphoma; MM, multiple myeloma; mut, mutation; RER, ribonucleotide excision repair; SMZL, splenic marginal zone lymphoma; SSB, single-strand break; T-PLL, T-cell prolymphocytic leukemia.

Functional validation of DDR-associated genetic drivers in hematologic tumor models have yielded insight into their pathogenic mechanisms. For instance, targeted disruption of Atm in T-cell proficient mice resulted in thymic lymphomas, but similar Atm knockout in T-cell deficient mice produced diffuse large B-cell lymphoma (DLBCL)–like tumors,39 akin to that observed in patients with AT, suggesting a critical role of tumor immunosurveillance. In chronic lymphocytic leukemia (CLL), in which ATM and SF3B1 alterations commonly co-occur, conditional expression of the Sf3b1-K700E hot spot mutation in murine B cells resulted in proleukemogenic properties but simultaneously led to DDR-mediated cellular senescence, which was overcome when combined with Atm deletion,37 underlining the crucial tumor suppressor role of ATM. The role of DDR defects as cancer drivers is further substantiated by their adverse prognostic impact in many hematologic malignancies (detailed in Table 4).23,24,26,28-30,34,35,44-54 For example, in a multivariate CLL prognostic model that integrated genomic, transcriptional, epigenetic, and clinical parameters, TP53 deletion and DYRK1A mutation emerged as significant determinants of shorter time to first treatment (hazard ratio [HR], 1.98) and overall survival (HR, 2.79), respectively.23 

Table 4.

Clinical impact of acquired alterations of DDR genes in hematologic malignancies

Gene alterationMalignancyTTFTResponse to treatmentPFS and OS
ATM (del/mut) CLL Shorter TTFT44  Lower ORR to chemotherapy in patients with biallelic defect (P = .002).45 No impact on ORR with venetoclax-obinutuzumab treatment.46  Reduced PFS (HR, 4.4) and OS (HR, 2.4) with chemotherapy.45  
TP53 (del/mut) CLL Shorter TTFT (HR, 1.98)23  Lower ORR to chemotherapy (P = .001).47 No impact on ORR with targeted treatment including venetoclax-obinutuzumab,46 AVO,48 and IVO.49  Reduced PFS (TP53 del: HR, 3.3; TP53 mut: HR, 3.8) and OS (del: HR, 2.1; mut: HR, 7.2) with chemotherapy.47,50 Reduced PFS with venetoclax-obinutuzumab (del: HR, 4.4; mut: HR, 3.1).46 Reduced PFS with IVO in patients with bialleic compared with monoalleic defect (P < .001).49  
 MDS/AML Shorter time to AML transformation in MDS with multihit TP53 alterations (HR, 3.0)51  Resistance to small molecule inhibitors35  TP53 alterations reduce OS in patients with complex karyotype29,52 or in younger patients (P < .001)53  
 CML BC — — Reduced OS in patients with TP53 deletion or biallelic TP53 alterations (P < .001)30  
 MCL — — Reduced PFS (HR, 3.8) and OS (HR, 4.0; P < .001)24  
 DLBCL — — Reduced OS with TP53 alterations and high BCL2 expression (P < .001)26  
 MM — — Reduced PFS with TP53 alterations, APOBEC signature, and HRR defect28  
DYRK1A (mut) CLL — — Reduced OS (univariate HR, 4.3; multivariate HR, 2.79)23  
PALB2 (del) AML — — Reduced OS (2 mos vs 16.2 mos, P < .01)34  
SAMHD1 (expression) AML — Reduced SAMHD1 expression in patients with CR after Ara-C (P < .001)54  Reduced PFS and OS in high SAMDH1 expressors (P < .001)54  
Gene alterationMalignancyTTFTResponse to treatmentPFS and OS
ATM (del/mut) CLL Shorter TTFT44  Lower ORR to chemotherapy in patients with biallelic defect (P = .002).45 No impact on ORR with venetoclax-obinutuzumab treatment.46  Reduced PFS (HR, 4.4) and OS (HR, 2.4) with chemotherapy.45  
TP53 (del/mut) CLL Shorter TTFT (HR, 1.98)23  Lower ORR to chemotherapy (P = .001).47 No impact on ORR with targeted treatment including venetoclax-obinutuzumab,46 AVO,48 and IVO.49  Reduced PFS (TP53 del: HR, 3.3; TP53 mut: HR, 3.8) and OS (del: HR, 2.1; mut: HR, 7.2) with chemotherapy.47,50 Reduced PFS with venetoclax-obinutuzumab (del: HR, 4.4; mut: HR, 3.1).46 Reduced PFS with IVO in patients with bialleic compared with monoalleic defect (P < .001).49  
 MDS/AML Shorter time to AML transformation in MDS with multihit TP53 alterations (HR, 3.0)51  Resistance to small molecule inhibitors35  TP53 alterations reduce OS in patients with complex karyotype29,52 or in younger patients (P < .001)53  
 CML BC — — Reduced OS in patients with TP53 deletion or biallelic TP53 alterations (P < .001)30  
 MCL — — Reduced PFS (HR, 3.8) and OS (HR, 4.0; P < .001)24  
 DLBCL — — Reduced OS with TP53 alterations and high BCL2 expression (P < .001)26  
 MM — — Reduced PFS with TP53 alterations, APOBEC signature, and HRR defect28  
DYRK1A (mut) CLL — — Reduced OS (univariate HR, 4.3; multivariate HR, 2.79)23  
PALB2 (del) AML — — Reduced OS (2 mos vs 16.2 mos, P < .01)34  
SAMHD1 (expression) AML — Reduced SAMHD1 expression in patients with CR after Ara-C (P < .001)54  Reduced PFS and OS in high SAMDH1 expressors (P < .001)54  

Ara-C, cytosine arabinoside (cytarabine); AVO, triplet therapy with acalabrutinib, venetoclax, and obinutuzumab; BC, blast crisis; BCL2. B-cell lymphoma 2; CML. chronic myeloid leukemia; CR, complete remission; del, deletion; HR, hazard ratio; IVO, triplet therapy with ibrutinib, venetoclax, and obinutuzumab; MCL, mantle cell lymphoma; MM, multiple myeloma; mut, mutation; ORR, overall response rate; OS, overall survival; PFS, progression-free survival; TTFT, time to first treatment.

In hematologic malignancies resulting from inherited DDR defects such as FA, DDR functional loss leads to genomic instability that typically occurs early in tumorigenesis, promoting the acquisition of pathogenic structural variants. In contrast, genomic instability arises later in sporadic tumors, typically secondary to replication stress triggered by oncogene activation or deregulated tumor proliferation that provides a selective pressure for DDR loss. The resultant DDR inactivation contributes to genomic instability that gives rise to a mutator phenotype, leading to tumor evolution, disease acceleration, and high-grade transformation. Recent studies have elucidated several important underlying mechanisms, as reviewed below.

R-loops–induced replication stress provides a selective pressure for DDR inactivation

R-loops are transcription intermediates, containing an RNA-DNA hybrid and a displaced single-stranded DNA. Enhanced R-loop formation can arise from oncogenic signaling, transcriptional alteration, RNA splicing defects, and aberrant genome editing activity. DDR defects impairing R-loop resolution also potentiate their accumulation. As transcription and replication share a common template, R-loops are obstacles to DNA replication and result in replication stress characterized by the slowing or stalling of replication fork progression.55 The pathogenic role of R-loops is best understood in MDS in which spliceosome mutations in SF3B1, SRSF2, and U2AF1 occur in 45% to 85% of patients, depending on the MDS subtype.56-58 These mutations enhance R-loop formation by impairing RNA polymerase II release from the 7SK complex at transcription start sites necessary for transcription elongation.56 The loss of R-loop homeostasis leads to transcription–replication conflict, replication fork stalling, and DSB formation. This in turn induces ATR-Chk1-p53 pathway activation, thus providing a selective pressure for TP53 loss.56-58 

R-loops have also been implicated in lymphoid malignancies. Reminiscent of the effect of spliceosome mutations in MDS, SF3B1 mutations in CLL promote R-loop accumulation, resulting in chromosomal instability that is exacerbated by ATM deletion.59 In adult T-cell leukemia/lymphoma, constitutive NF-κB activation driven by the human T-cell lymphotropic virus type 1 oncoprotein Tax leads to R-loop accumulation. R-loops are processed by NER, thereby exerting selective pressure for the loss of NER endonucleases XPF and XPG that contribute to adult T-cell leukemia/lymphoma progression.60,61 Moreover, TET2 loss-of-function mutations, seen in ∼10% of DLBCL, promote R-loop and DSB accumulation at immunoglobulin switch regions that likely contribute to DLBCL pathogenesis and subsequent ATM/p53 loss.62 There is also emerging evidence that R-loops are regulated by the cytidine deaminase APOBEC3 and are particularly vulnerable to APOBEC3 mutagenesis, although this has yet to be confirmed in hematologic malignancies.63 Nevertheless, given that during antibody diversification R-loops are substrates to activation-induced cytidine deaminase, another member of the APOBEC family, one could envisage this mechanism contributing to pervasive immune system chromosomal translocations in B-cell malignancies.

Aberrant DSB repair and DDR signaling facilitate leukemic progression

Chromosome translocations arise from the erroneous relegation of DSBs. Although HRR is a high-fidelity DSB repair mechanism, its loss through inactivating mutations renders tumor cells reliant on NHEJ that mediates template-independent DSB relegation. The error-prone nature of NHEJ is genetically destabilizing, thus increasing tumor mutation burden and chromosomal aberrations.64 

In chronic myeloid leukemia (CML), BCR-ABL translocation is associated with upregulation of error-prone DNA-dependent protein kinase catalytic subunit (DNA-PKCS)-independent NHEJ that may contribute to genomic instability.65 The oncogenic activity of BCR-ABL also creates replication stress through oxidative DNA damage and ATR functional repression mediated by BCR-ABL binding to ATR.66 The consequent accumulation of DSBs induces ATM-Chk2-p53 signaling that provides transient protection against tumor progression. Consistent with the notion that the loss of the ATM-Chk2-p53 checkpoint accelerates leukemic progression, loss-of-function TP53 alterations are observed in ∼20% of CML in blast crisis.30 Similarly, in AML the aberrant proliferation of myeloid progenitors are frequently driven by oncogenes such as MLL-ELN In a mouse model of MLL-ENL–induced leukemogenesis, resultant replication stress leads to ATR-Chk1-p53 and ATM-Chk2-p53 activation that induces cellular senescence in early malignant cells, providing protection against the acquisition of further stem cell–like properties and malignant progression.67 Consistent with this, loss-of-function defects of these pathways accelerate AML development (Tables 3 and 4).

DDR defects confer tumor growth advantage and evolutionary fitness

At the later stages of leukemogenesis in which DDR activity is attenuated or lost, genomic instability produces phenotypic diversity that facilitates clonal evolution. In contrast to the early stages of tumorigenesis in which DDR serves as a protective barrier to delay or prevent malignant progression, once this DDR barrier is breached (secondary to events such as TP53 loss), residual DDR activity may confer the opposite effect of supporting tumor growth acceleration and clonal diversification in the context of heightened replication stress by preventing excessive DNA damage accumulation and mitotic catastrophe,68 with studies in MYC–driven lymphoma models supporting this notion.40 

Recent studies have determined the evolutionary fitness of clones harboring DDR defects across different contexts. In an analysis of clonal growth dynamics underlying progression of untreated CLL, TP53 and ATM alterations were associated with the strongest growth accelerations among driver mutations,69 which was confirmed within a CLL cell line engineered to express these different mutations.70 In contrast, in clonal hematopoiesis that precedes myeloid malignancies, TP53 mutations generally had slower growth rates (∼5% per year) relative to other drivers.71,72 However, consistent with the dominant-negative effect of missense TP53 mutations that abrogate the DDR function of p53,73 clones harboring missense TP53 variants affecting the DNA-binding domain expanded at distinctly higher rates and drove leukemogenesis.71,72 

The functional significance of DDR defects extends beyond their tumor-intrinsic effects. They also modulate the immune microenvironment that tumor cells interact with. We are beginning to understand the role of DDR defects as sources of tumor immunogenicity, as well as their impact upon the complex cross talk between DDR, inflammation, and antitumor immunity that influences disease trajectory and clinical outcome. Here, we review emerging concepts that have enriched our understanding of the immunopathological role of DDR defects with reference to hematologic malignancies.

DDR defects are potential sources of tumor immunogenicity

In solid tumors, higher mutation burden correlates with higher neoantigen load that translates to greater tumor immunogenicity.74 Increased mutability due to microsatellite instability, in particular, predicts for response to immune checkpoint inhibitors (ICI).75 Unrepaired DNA damage could also promote HLA class I presentation, in part through activation of the ATR-AKT-mTORC1-S6K axis that stimulates antigen production and presentation.76 

In hematologic malignancies, mutation burden is generally low and microsatellite instability arising from mismatch repair defects is uncommon. However, genomic instability leading to increased mutagenesis can arise from other DDR defects such as BRCA1 and ARID1A mutations. For instance, a recent pancancer analysis demonstrated a correlation of ARID1A deficiency with microsatellite instability signatures and increased mutation burden, although this did not reach statistical significance in the subset of 48 DLBCLs investigated.77 Unresolved or aberrantly processed R-loops are also inherently immunogenic and may represent additional sources of immunogenicity.78 Further studies in each hematologic malignancy are required to confirm the relationship between specific DDR defects and neoantigen load, clonal diversity, antigen presentation capacity, and immunogenicity, as well as how these defects influence the immune microenvironment.

Immune DNA- and RNA-sensing pathways mediate DDR–immune cross talk

Replication stress and genomic instability arising from DDR defects result in the cytoplasmic accumulation of nucleus–derived DNA fragments that are detected by the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway, triggering its activation. In turn, cGAS-STING signaling leads to the transcriptional upregulation and secretion of type I interferon and other proinflammatory cytokines and chemokines. They mediate the recruitment and activation of antigen-presenting cells as well as T and natural killer (NK) cells to elicit an antitumor immune response.79 The recent discovery of the mechanism of R-loop sensing by the cGAS-STING pathway may be of particular relevance in the context of perturbed R-loop homeostasis characteristic of many hematologic malignancies. This involves the generation of RNA-DNA hybrids by the XPG-dependent processing of nuclear R-loops, the exportin-1–dependent transfer of these RNA-DNA hybrids to the cytoplasm, and their subsequent recognition in the cytoplasm by the cGAS-STING pathway.78 

There is emerging evidence that unrepaired DSBs may additionally recruit RNA sensors and activate RNA-sensing pathways such as the RIG-I like receptor (RLR) pathway.80 The RLR pathway involves the pattern recognition receptors RIG-I and MDA5 that detect immunostimulatory cytosolic double-strand RNA, activating downstream IRF3 and NF-κB signaling to induce type I interferon and promote an antitumor immune response.

DDR defects affect immune signaling and immune effector cells

DDR genes mutated in hematologic malignancies may have specific consequences on antitumor immunity. Owing to the critical role of SAMHD1 for the processing of stalled replication forks, SAMHD1 loss results in cGAS-STING activation triggered by the release of DNA fragments from stalled forks.81 Evidence from AML murine models underscores the importance of cGAS-STING activation and T-cell immunity in the control of SAMHD1-deficient AML.82 Additionally, interferon response to SAMHD1 loss could be mediated through the RLR pathway.83,84 Likewise, ATM or RNASEH2 loss activates cGAS/STING signaling, the former through the cytoplasmic leakage of mitochondrial DNA associated with ATM loss.85,86 However, the latter has hitherto been demonstrated only in cell line and murine models of solid tumors, and therefore requires confirmation in hematologic malignancies. In contrast, ARID1A alterations were shown to curtail chromatin accessibility to interferon-responsive genes and downregulate interferon gene expression,87 which could be overcome by cGAS/STING activation through ATM inhibition.88 

Mutant p53 suppresses cGAS/STING activity by interfering with downstream STING signaling,89 potentially contributing to the inferior response of TP53-mutated DLBCL to CD19 chimeric antigen receptor T-cell therapy that is associated with subdued interferon response and reduced CD8+ T-cell infiltration within the lymphoma microenvironment.90 In lymphoma, programmed death-ligand 1 (PD-L1) expression and macrophage phagocytic capacity also decrease upon TP53 loss.91 In contrast, TP53 alterations correlate with enhanced interferon gene expression and immunotherapeutic response in AML,92,93 highlighting the context specific effect of TP53 loss.

cGAS-STING activation could upregulate tumor PD-L1, which could explain the predictive role of ATM mutations for ICI response in solid tumors. However, the existence of an ATM-dependent, cGAS-independent noncanonical STING signaling pathway has been reported,94 and the extent to which cGAS-STING signaling results in effective antitumor immunity might be context dependent. It therefore remains to be determined whether DDR alterations could identify exceptional responders to ICI and other immunotherapies in hematologic malignancies.

Importantly, a recent study highlighted an additional function for ATM in lymphoma immunosurveillance, wherein ATM-deficient T cells displayed replication stress and impaired proliferation, whereas restoring ATM function led to lymphoma regression via ATM-dependent, T-cell–mediated antitumor activity.95 These findings may support a potential role of immune reconstitution, such as through allogeneic hematopoietic stem cell transplantation, for the immunoprevention and early treatment of lymphoma developing in patients with AT harboring constitutional ATM loss.

DDR defects and chronic inflammation synergize to drive leukemic evolution

Acute inflammation mediated by cGAS-STING signaling facilitates antitumor immune response. On the contrary, DNA damage–induced chronic inflammation can be tumor supportive. This is underscored by a recent study that tracked the transformation of myeloproliferative neoplasms to AML, demonstrating that chronic inflammation enhances the evolutionary fitness of TP53-mutant hematopoietic stem cells (HSCs) and promotes the selection of TP53-mutant over wild-type TP53 HSCs.96 Relative to their TP53 wild-type counterpart, TP53-mutant HSCs demonstrated resistance to inflammation-associated, DNA damage–inducing proliferative stress, suggesting that TP53 mutation promotes leukemic evolution by rescuing HSCs from DNA damage–induced attrition. Although this study illustrates the power of integrating multidimensional single-cell analysis with functional interrogation, it remains to be determined how other subclonal genetic events affecting DDR shape evolutionary fitness at a transcriptional and phenotypic level within distinct immune microenvironments, and how this, in turn, influences disease trajectory and treatment response in different hematologic malignancies.

The characterization of DDR defects and their functional dependencies provides opportunities for therapeutic targeting. There exist functional redundancies across DDR pathways such that defects in 1 pathway may be partially compensated by collateral pathways. Hence, tumor cell survival may be unaffected by the loss of individual pathways but their concurrent loss may result in tumor lethality. Tumor cells harboring DDR defects could, therefore, exhibit functional addiction to specific compensatory mechanisms and be exquisitely sensitive to their inhibition, thus providing the basis for “synthetic lethality” as a novel concept for targeting DDR defects. Moreover, the cross talk between DDR and antitumor immunity underscores the therapeutic potential of combining DDR modulation with immune modulation. These emerging therapeutic strategies as applied to hematologic malignancies are discussed below.

PARP inhibition exerts synthetic lethality in DDR-defective tumors

The most studied synthetic lethal therapeutic target is poly-(adenosine 5′-diphosphate ribose) polymerase (PARP). In the context of impaired HRR arising from BRCA1/BRCA2 mutation, PARP mediates base-excision repair and alternative NHEJ as compensatory mechanisms to prevent DNA damage accumulation in HRR-defective cells.97,98 Other genetic or epigenetic defects can phenocopy BRCA1/2 mutations, causing BRCAness that is characterized by compromised replication fork protection and sensitivity to replication fork–damaging agents.99 

Our understanding of replication stress response mechanisms is evolving; it is not completely understood why some tumors respond to PARP inhibitors and other replication stress–inducing agents whereas others do not. In hematologic malignancies, BRCA1/2 mutations are rare, with PARP dependence arising from oncogenes such as mutant IDH1 and AML1-ETO in AML, PML-RARA in acute promyelocytic leukemia, and BCR-ABL in CML that confer BRCAness, as well as other HRR defects such as ATM mutation.100-104 Accordingly, PARP inhibitors demonstrated preclinical efficacy in hematologic malignancies harboring these genetic alterations (Table 5),36,101,104-111 but their clinical applicability currently remains limited. Major obstacles include a lack of genetic stratification in clinical trials, hampering their evaluation with many studies showing predictably modest activity in genetically unselected patients (Table 6),112-116 and the absence of robust, validated assays for BRCAness detection. Previous methods to define BRCAness include homologous recombination deficiency scores (ie, loss of heterozygosity, telomeric allelic imbalance, and large-scale state transitions scores) and assessment of Rad51 function and transcriptional adaptations that compensate for HRR loss.117 However, recent evidence suggests that BRCAness involves exclusively HRR defects that impede fork protection. Moreover, certain hot spot mutations such as SF3B1 K700E give rise to BRCAness, as demonstrated by PARP inhibitor sensitivity, but do not affect Rad51 foci formation.118 Redefining BRCAness will therefore likely improve the clinical translation of PARP inhibitors in hematologic malignancies.

Table 5.

Preclinical studies of PARP inhibitors in DDR-defective hematologic malignancies

MalignancyStudyPARP inhibitorDrug combinationPreclinical modelsFindings
AML Molenaar et al, 2018101  Olaparib, talazoparib Daunorubicin Primary tumor cells IDH1/2 mutation sensitizes AML cells to daunorubicin and PARP inhibition. Combined treatment with PARP inhibitor and daunorubicin has additive effect. 
AML Esposito et al, 2015105  Olaparib, veliparib GSK3 inhibitor Cell lines, AML cell line–derived xenograft model AML cells driven by AML1-ETO and PML-RARA are hypersensitive to PARP inhibition. Combined PARP/GSK3 inhibition can overcome PARP inhibitor resistance in MLL-driven leukemia. 
AML, MDS Tothova et al, 2021106  Talazoparib — Cell lines, transgenic murine model Cohesin-mutant AML/MDS displays enhanced sensitivity to PARP inhibition in vitro and in vivo 
AML Maifrede et al, 2018107  Talazoparib, olaparib FLT3 inhibitors: AC220, gilteritinib, and crenolanib Cell lines, primary tumor cells, transgenic murine model, and PDX models FLT3 inhibition suppresses DNA DSB repair and sensitizes FLT3-ITD–positive leukemia to PARP inhibition. FLT3 and PARP inhibition delays AML onset in a FLT3-ITD–positive murine model. 
CML Tobin et al, 2013104  NU1025 DNA ligase inhibitor Cell lines and primary tumor cells Imatinib-resistant CML cells are sensitive to combined DNA ligase and PARP inhibition. In patients with CML, this sensitivity correlates with the expression in CML cells of PARP1 and DNA ligase IIIα, and with alternative NHEJ activity. 
Myeloid malignancies Poh et al, 2019108  Veliparib — Cell lines and primary tumor cells Myeloid neoplasms exhibit homologous recombination defects caused by the epigenetic silencing of BRCA1. BRCA1-repressed leukemic cells show increased miR-155 expression and sensitivity to PARP inhibition. 
T-ALL Bamezai et al, 2021109  Olaparib — Cell lines, primary tumor cells, and T-ALL cell line–derived xenograft model TET1 is highly expressed in T-ALL cells, interacts with PARP, and regulates cell cycle and DNA repair genes. PARP inhibitor abrogates TET1 expression and antagonizes the growth of T-ALL cells. 
CLL, MCL Weston et al, 2010110  Olaparib Bendamustine, fludarabine, and cyclophosphamide Cell lines, primary tumor cells, and MCL cell line–derived xenograft model ATM-deficient CLL and MCL are sensitive to PARP inhibition in vitro and in vivo. PARP inhibitor sensitizes ATM-mutant CLL/MCL to chemotherapy. 
CLL Quijada-Alamo et al, 2020111  Olaparib BCR inhibitors including ibrutinib Cell lines and primary tumor cells Del(11q)/ATM-KO in CLL cells results in increased sensitivity to PARP inhibition. PARP inhibitor olaparib synergizes with BCR inhibition in del(11q) CLL cells. 
CLL Zimmermann et al, 201836  Olaparib, talazoparib — Primary tumor cells RNASEH2B-deficient CLL cells display enhanced sensitive to PARP inhibitors, especially to talazoparib, with the degree of sensitivity correlating with the number of RNASEH2B alleles lost 
MalignancyStudyPARP inhibitorDrug combinationPreclinical modelsFindings
AML Molenaar et al, 2018101  Olaparib, talazoparib Daunorubicin Primary tumor cells IDH1/2 mutation sensitizes AML cells to daunorubicin and PARP inhibition. Combined treatment with PARP inhibitor and daunorubicin has additive effect. 
AML Esposito et al, 2015105  Olaparib, veliparib GSK3 inhibitor Cell lines, AML cell line–derived xenograft model AML cells driven by AML1-ETO and PML-RARA are hypersensitive to PARP inhibition. Combined PARP/GSK3 inhibition can overcome PARP inhibitor resistance in MLL-driven leukemia. 
AML, MDS Tothova et al, 2021106  Talazoparib — Cell lines, transgenic murine model Cohesin-mutant AML/MDS displays enhanced sensitivity to PARP inhibition in vitro and in vivo 
AML Maifrede et al, 2018107  Talazoparib, olaparib FLT3 inhibitors: AC220, gilteritinib, and crenolanib Cell lines, primary tumor cells, transgenic murine model, and PDX models FLT3 inhibition suppresses DNA DSB repair and sensitizes FLT3-ITD–positive leukemia to PARP inhibition. FLT3 and PARP inhibition delays AML onset in a FLT3-ITD–positive murine model. 
CML Tobin et al, 2013104  NU1025 DNA ligase inhibitor Cell lines and primary tumor cells Imatinib-resistant CML cells are sensitive to combined DNA ligase and PARP inhibition. In patients with CML, this sensitivity correlates with the expression in CML cells of PARP1 and DNA ligase IIIα, and with alternative NHEJ activity. 
Myeloid malignancies Poh et al, 2019108  Veliparib — Cell lines and primary tumor cells Myeloid neoplasms exhibit homologous recombination defects caused by the epigenetic silencing of BRCA1. BRCA1-repressed leukemic cells show increased miR-155 expression and sensitivity to PARP inhibition. 
T-ALL Bamezai et al, 2021109  Olaparib — Cell lines, primary tumor cells, and T-ALL cell line–derived xenograft model TET1 is highly expressed in T-ALL cells, interacts with PARP, and regulates cell cycle and DNA repair genes. PARP inhibitor abrogates TET1 expression and antagonizes the growth of T-ALL cells. 
CLL, MCL Weston et al, 2010110  Olaparib Bendamustine, fludarabine, and cyclophosphamide Cell lines, primary tumor cells, and MCL cell line–derived xenograft model ATM-deficient CLL and MCL are sensitive to PARP inhibition in vitro and in vivo. PARP inhibitor sensitizes ATM-mutant CLL/MCL to chemotherapy. 
CLL Quijada-Alamo et al, 2020111  Olaparib BCR inhibitors including ibrutinib Cell lines and primary tumor cells Del(11q)/ATM-KO in CLL cells results in increased sensitivity to PARP inhibition. PARP inhibitor olaparib synergizes with BCR inhibition in del(11q) CLL cells. 
CLL Zimmermann et al, 201836  Olaparib, talazoparib — Primary tumor cells RNASEH2B-deficient CLL cells display enhanced sensitive to PARP inhibitors, especially to talazoparib, with the degree of sensitivity correlating with the number of RNASEH2B alleles lost 

ALL, acute lymphoblastic leukemia; BCR, B-cell receptor signaling; KO, knockout; MCL, mantle cell lymphoma; MLL, mixed lineage leukemia; miR, microRNA; PDX, patient–derived xenograft; T-ALL, T-cell acute lymphoblastic leukemia.

Table 6.

Clinical studies of PARP inhibitors in hematologic malignancies

PARP inhibitorPhaseStudyTreatmentMalignancyNumber of patientsClinicalTrials.gov identifierFindings
Talazoparib Gopal et al, 2021112  Monotherapy Refractory AML, MDS, CLL, and MCL 33 NCT01399840 Well tolerated. The MTD of 2.0 mg per day in the AML/MDS cohort and 0.9 mg per day in the CLL/MCL cohort was comparable to that for solid tumors. Stable disease was observed in 18 patients. 
Olaparib Pratt et al 2018113  Monotherapy Refractory CLL, T-PLL, and MCL 15 ISRCTN34386131 Well tolerated. Most common dose-limiting toxicities were hematologic. Patients harboring defects in the ATM pathway displayed a trend toward more durable response. 
Veliparib Pratz et al, 2017114  Combination with topotecan and carboplatin Refractory AML, MPN, and CMML 99 NCT00588991 Acceptable safety and tolerability. Objective response was observed in 33 patients and complete response in 25 of 99 patients. Leukemic cells from responders displayed increased H2AX phosphorylation. 
Veliparib Gojo et al, 2017115  Combination with temozolomide High-risk AML 48 NCT01139970 No dose-limiting toxicity. Complete response was observed in 8 of 48 patients. Clinical response correlated with MGMT promoter hypermethylation and treatment-induced H2AX phosphorylation. 
Talazoparib Baer et al, 2022116  Combination with decitabine Refractory AML 22 NCT02878785 Well tolerated. Complete remission was observed in 2 patients and hematologic improvement in 3 patients. Responding patients displayed DNA demethylation, increased PARP-trapping in chromatin, increased γH2AX foci, and decreased HRR activity. 
PARP inhibitorPhaseStudyTreatmentMalignancyNumber of patientsClinicalTrials.gov identifierFindings
Talazoparib Gopal et al, 2021112  Monotherapy Refractory AML, MDS, CLL, and MCL 33 NCT01399840 Well tolerated. The MTD of 2.0 mg per day in the AML/MDS cohort and 0.9 mg per day in the CLL/MCL cohort was comparable to that for solid tumors. Stable disease was observed in 18 patients. 
Olaparib Pratt et al 2018113  Monotherapy Refractory CLL, T-PLL, and MCL 15 ISRCTN34386131 Well tolerated. Most common dose-limiting toxicities were hematologic. Patients harboring defects in the ATM pathway displayed a trend toward more durable response. 
Veliparib Pratz et al, 2017114  Combination with topotecan and carboplatin Refractory AML, MPN, and CMML 99 NCT00588991 Acceptable safety and tolerability. Objective response was observed in 33 patients and complete response in 25 of 99 patients. Leukemic cells from responders displayed increased H2AX phosphorylation. 
Veliparib Gojo et al, 2017115  Combination with temozolomide High-risk AML 48 NCT01139970 No dose-limiting toxicity. Complete response was observed in 8 of 48 patients. Clinical response correlated with MGMT promoter hypermethylation and treatment-induced H2AX phosphorylation. 
Talazoparib Baer et al, 2022116  Combination with decitabine Refractory AML 22 NCT02878785 Well tolerated. Complete remission was observed in 2 patients and hematologic improvement in 3 patients. Responding patients displayed DNA demethylation, increased PARP-trapping in chromatin, increased γH2AX foci, and decreased HRR activity. 

CMML, chronic myelomonocytic leukemia; MCL, mantle cell lymphoma; MPN, myeloproliferative neoplasms; MTD, maximum tolerable drug dose; T-PLL, T-cell prolymphocytic leukemia.

Importantly, recent findings suggest that the therapeutic use of PARP inhibitors can be extended to some HRR-proficient hematologic cancers. For example, CLL harboring RNASEH2 loss have functional HRR but defective ribonucleotide excision repair (Table 2);36 their sensitivity to PARP inhibition could be attributed to the compensatory activity of the TOP1 helicase on ribonucleotides that creates PARP-trapping lesions upon which PARP inhibition leads to DNA damage accumulation and cell death. Moreover, demethylation agents, as well as histone deacetylase, BET, and proteasome inhibitors modify HRR and induce BRCAness, thus providing rationale for their use in combination with PARP inhibitors.116,119-121 

Replication stress can be targeted through ATR/CHK1/WEE1 inhibition

The kinases ATR, CHK1, and WEE1 resolve replication stress and promote cell survival through stabilization of stalled replication forks, activation of dormant origins to complete DNA replication, and induction of cell cycle arrest to facilitate DNA repair and prevent the propagation of damaged or underreplicated DNA into daughter cells. Inhibition of ATR, CHK1, or WEE1 permits unbridled cell cycle progression during replication stress, leading to cell death by apoptosis and mitotic catastrophe (Figure 3). Predictive biomarkers of sensitivity to ATR/CHK1 inhibition involve genetic defects associated with increased replication stress that confer cellular dependence on the ATR/CHK1 pathway. These include BRCAness with compromised HRR–dependent fork stability, inactivation of ATM/p53-dependent DDR response, as well as KRAS and MYC oncogene activation.

Figure 3.

Induction of synthetic lethality in hematologic malignancies with DDR inhibitors. DDR defects and oncogene activation associated with the BRCAness phenotype confer sensitivity to the inhibition of PARP proteins that participate in alternative DNA repair pathways. DDR defects and the BRCAness phenotype also compromise DNA replication, leading to replication stress. ATR, a principal regulator of replication stress response, is activated by the single-stranded (ss) DNA-RPA complex, which forms rapidly after the exposure of ssDNA at stalled replication forks. The ATR effector kinase CHK1 induces the S-phase cell cycle checkpoint and activates WEE1 kinase to induce the G2-M cell cycle checkpoints. CHK1 also regulates replication origin firing and timely S to G2 transition. Normal ATR/CHK1 function (in green) prevents replication fork collapse, exacerbation of replication stress (in purple), and early S/G2 transition before replication is successfully completed. ATR, CHK1, or WEE1 inhibition therefore results in uncontrolled cell cycle progression despite replication stress, leading to mitotic catastrophe and apoptosis.

Despite robust preclinical data (Table 7),40,122-139 clinical studies demonstrating unequivocal efficacy in hematologic malignancies currently remain limited (Table 8).140-144 Many synthetic lethal interactions between replication stress response and DDR effectors have been discovered through CRISPR-CRISPR–associated protein 9 screens in cells of nonhematologic origins. Given that these interactions can be context specific, they may not necessarily operate in hematopoietic cells.145-147 Furthermore, not all synthetically lethal interactions can be experimentally predicted. For example, mutation-associated DDR inactivation arising in primary tumor cells may be more detrimental to cellular survival compared with the loss of DDR gene expression represented in CRISPR screens. Intratumoral heterogeneity also means that although the majority of tumor cells may harbor DDR defects that predict sensitivity to ATR/CHK1/WEE1 inhibitors, those tumor subpopulations with an intact DDR treated with sublethal inhibitor doses that increase genomic instability may constitute a cellular reservoir from which eventual therapeutic resistance could arise. Finally, genomic instability associated with DDR defects frequently leads to DDR inhibitor resistance. In that respect, several studies have demonstrated the ability of ATR inhibitor to reverse PARP inhibitor resistance by disrupting HRR rewiring and fork protection in BRCA-deficient tumor cells.148 In addition, ATR inhibition exacerbates DNA damage through abrogating the ATR-dependent S/G2 checkpoint that leads to accelerated mitotic entry of cells harboring unresolved postreplicative DNA damage.149 Combining PARP inhibition with ATR inhibition therefore holds promise but is yet to be substantively investigated in hematologic malignancies.

Table 7.

Preclinical studies of replication stress response inhibitors in DDR-defective hematologic malignancies

DiseasePhenotypeStudyMode of targetingDrug combinationModelsFindings
AML FLT3-ITD Yuan et al, 2014122  CHK1 inhibition with SCH900776, UCN01, and CHIR124 FLT3 inhibitor Cell lines AML proliferation is dependent on functional CHK1. CHK1 inhibitors reduce FLT3 activation 
AML Cytarabine resistance Qi et al, 2014123  CHK1 inhibition with LY2603618;
WEE1 inhibition with MK-1775 
Cytarabine and roscovitine Cell lines, primary tumor cells AML cells exhibit dose-dependent sensitivity to CHK1 inhibitor that is CDK-dependent. CHK1 inhibitor synergizes with WEE1 inhibition. 
AML Cytarabine resistance Di Tullio et al, 2017124  CHK1 inhibition with GDC-0575 Cytarabine Cell lines, primary tumor cells, and PDX models CHK1 inhibition increases in vitro and in vivo AML sensitivity to cytarabine, but does not affect hematopoiesis 
AML — Ma et al, 2017125  ATR inhibition with AZ20 and AZD6738 Cytarabine Cell lines, primary tumor cells ATR inhibition abrogates the S and G2/M checkpoints and synergizes with cytarabine against AML cells 
AML — Fordham et al, 2018126  ATR inhibition with VX-970 Gemcitabine and hydroxyurea Orthotopic murine model Antileukemic activity of hydroxyurea and gemcitabine is potentiated by ATR inhibition through abrogation of replication fork progression 
AML — Qi et al, 2019127  ATR inhibition with VE-821;
Wee1 inhibition with AZD1775 
— Cell lines Combined ATR and WEE1 inhibition synergistically increases replication stress and DNA damage and induces apoptosis in AML cells 
AML MLL-ENL Morgado-Palacin et al, 2016128  ATM inhibition with AZD0156
ATR inhibition with AZ20 
— N-RAS–driven MLL-ENL mouse model ATR and ATM inhibition suppresses MLL-driven leukemias independently of p53 function 
CML BCR-ABL T315I Lei et al, 2018129  CHK1 inhibition with AZD7762 and MK-8776 Imatinib Cell lines, primary tumor cells, and cell line xenograft models CHK1 inhibitors can overcome imatinib resistance in BCR-ABL T315I-mutant CML cells through CHIP–dependent degradation of BCR-ABL 
ALL — Ghelli Luserni Di Rorà et al, 2021130  CHK1 inhibition with prexasertib;
ATR inhibition with VE-821 
Doxorubicin Cell lines, primary tumor cells ATR/CHK1 inhibitors potentiates doxorubicin–induced cytotoxicity in ALL 
B-ALL Mll-Af4/N-RasG12D Chu et al, 2018131  ATR inhibition with AZ20 MEK inhibitors PD901 and trametinib Transgenic and PDX mouse models Combined MEK/ATR inhibition is effective against Mll-Af4/N-RasG12D B-ALL 
T-ALL — Le et al, 2017132  ATR inhibition with VE-822 CDK inhibitor palbociclib Cell lines, transgenic murine model ATR inhibition abrogates nucleotide synthesis in T-ALL by suppressing ribonucleotide reductase and deoxycytidine kinase activity 
CLL ATM/TP53 mut/del Kwok et al, 2016133  ATR inhibition with ADZ6738 Chemotherapy, ibrutinib Cell lines, primary tumor cells Defective ATM or p53 increases reliance on ATR-dependent regulation of replication stress in CLL 
DLBCL — De Jong et al, 2020134  WEE1 inhibition with AZD1775 CHOP, radiotherapy Cell lines Combination of AZD1775 with radiotherapy or CHOP enhances sensitivity of DLBCL cells to WEE1 inhibition through unscheduled G2/M progression and increased DNA damage 
Myc-driven lymphoma Eμ-Myc+;
ARF−/− 
Murga et al, 201140  ATR inhibition with ETP46464;
CHK1 inhibition with SB-218078 
— Murine models with defined levels of ATR signaling The threshold of ATR signaling determines tumor outcome. ATR inhibition is tumor-suppressive in early tumorigenesis but is tumor promoting at later stages. 
MM Chromosome instability Cottini et al, 2015135  ATR inhibition with VE-821 ROS inducer piperlongumine Cell lines, primary tumor cells MYC drives replicative and oxidative stress in MM. ATR inhibitor synergizes with piperlongumine. 
MM — Xing et al, 2020136  ATR inhibition with AZD6738;
WEE1 inhibition with AZD1775;
ATM inhibition with AZD0156 
Antibody-drug conjugate with DNA crosslinker Cell lines, primary tumor cells, cell line xenograft models Antibody-drug conjugate-induced DNA damage is synergistic with replication stress response inhibitors in MM 
MM Upregulation of p38/MK2 Guo, 2019;137,
Gu, 2021;138 
Dietlein et al, 2016139  
MK2 knock out;
MK2 inhibition with PF3644022 
Bortezomib, doxorubicin, dexamethasone, and Chk1 inhibitor Cell lines,
Transgenic models 
MK2 is upregulated in high-risk MM and confers chemoresistance. Targeting MK2 induces MM killing in vitro and in vivo. MK2 and Chk1 inhibition are synthetically lethal in KRAS-mutant cancer cells. 
DiseasePhenotypeStudyMode of targetingDrug combinationModelsFindings
AML FLT3-ITD Yuan et al, 2014122  CHK1 inhibition with SCH900776, UCN01, and CHIR124 FLT3 inhibitor Cell lines AML proliferation is dependent on functional CHK1. CHK1 inhibitors reduce FLT3 activation 
AML Cytarabine resistance Qi et al, 2014123  CHK1 inhibition with LY2603618;
WEE1 inhibition with MK-1775 
Cytarabine and roscovitine Cell lines, primary tumor cells AML cells exhibit dose-dependent sensitivity to CHK1 inhibitor that is CDK-dependent. CHK1 inhibitor synergizes with WEE1 inhibition. 
AML Cytarabine resistance Di Tullio et al, 2017124  CHK1 inhibition with GDC-0575 Cytarabine Cell lines, primary tumor cells, and PDX models CHK1 inhibition increases in vitro and in vivo AML sensitivity to cytarabine, but does not affect hematopoiesis 
AML — Ma et al, 2017125  ATR inhibition with AZ20 and AZD6738 Cytarabine Cell lines, primary tumor cells ATR inhibition abrogates the S and G2/M checkpoints and synergizes with cytarabine against AML cells 
AML — Fordham et al, 2018126  ATR inhibition with VX-970 Gemcitabine and hydroxyurea Orthotopic murine model Antileukemic activity of hydroxyurea and gemcitabine is potentiated by ATR inhibition through abrogation of replication fork progression 
AML — Qi et al, 2019127  ATR inhibition with VE-821;
Wee1 inhibition with AZD1775 
— Cell lines Combined ATR and WEE1 inhibition synergistically increases replication stress and DNA damage and induces apoptosis in AML cells 
AML MLL-ENL Morgado-Palacin et al, 2016128  ATM inhibition with AZD0156
ATR inhibition with AZ20 
— N-RAS–driven MLL-ENL mouse model ATR and ATM inhibition suppresses MLL-driven leukemias independently of p53 function 
CML BCR-ABL T315I Lei et al, 2018129  CHK1 inhibition with AZD7762 and MK-8776 Imatinib Cell lines, primary tumor cells, and cell line xenograft models CHK1 inhibitors can overcome imatinib resistance in BCR-ABL T315I-mutant CML cells through CHIP–dependent degradation of BCR-ABL 
ALL — Ghelli Luserni Di Rorà et al, 2021130  CHK1 inhibition with prexasertib;
ATR inhibition with VE-821 
Doxorubicin Cell lines, primary tumor cells ATR/CHK1 inhibitors potentiates doxorubicin–induced cytotoxicity in ALL 
B-ALL Mll-Af4/N-RasG12D Chu et al, 2018131  ATR inhibition with AZ20 MEK inhibitors PD901 and trametinib Transgenic and PDX mouse models Combined MEK/ATR inhibition is effective against Mll-Af4/N-RasG12D B-ALL 
T-ALL — Le et al, 2017132  ATR inhibition with VE-822 CDK inhibitor palbociclib Cell lines, transgenic murine model ATR inhibition abrogates nucleotide synthesis in T-ALL by suppressing ribonucleotide reductase and deoxycytidine kinase activity 
CLL ATM/TP53 mut/del Kwok et al, 2016133  ATR inhibition with ADZ6738 Chemotherapy, ibrutinib Cell lines, primary tumor cells Defective ATM or p53 increases reliance on ATR-dependent regulation of replication stress in CLL 
DLBCL — De Jong et al, 2020134  WEE1 inhibition with AZD1775 CHOP, radiotherapy Cell lines Combination of AZD1775 with radiotherapy or CHOP enhances sensitivity of DLBCL cells to WEE1 inhibition through unscheduled G2/M progression and increased DNA damage 
Myc-driven lymphoma Eμ-Myc+;
ARF−/− 
Murga et al, 201140  ATR inhibition with ETP46464;
CHK1 inhibition with SB-218078 
— Murine models with defined levels of ATR signaling The threshold of ATR signaling determines tumor outcome. ATR inhibition is tumor-suppressive in early tumorigenesis but is tumor promoting at later stages. 
MM Chromosome instability Cottini et al, 2015135  ATR inhibition with VE-821 ROS inducer piperlongumine Cell lines, primary tumor cells MYC drives replicative and oxidative stress in MM. ATR inhibitor synergizes with piperlongumine. 
MM — Xing et al, 2020136  ATR inhibition with AZD6738;
WEE1 inhibition with AZD1775;
ATM inhibition with AZD0156 
Antibody-drug conjugate with DNA crosslinker Cell lines, primary tumor cells, cell line xenograft models Antibody-drug conjugate-induced DNA damage is synergistic with replication stress response inhibitors in MM 
MM Upregulation of p38/MK2 Guo, 2019;137,
Gu, 2021;138 
Dietlein et al, 2016139  
MK2 knock out;
MK2 inhibition with PF3644022 
Bortezomib, doxorubicin, dexamethasone, and Chk1 inhibitor Cell lines,
Transgenic models 
MK2 is upregulated in high-risk MM and confers chemoresistance. Targeting MK2 induces MM killing in vitro and in vivo. MK2 and Chk1 inhibition are synthetically lethal in KRAS-mutant cancer cells. 

ALL, acute lymphoblastic leukemia; B-ALL; B-cell acute lymphoblastic leukemia; CDK, cyclin-dependent kinase; CHIP, carboxyl terminus of the Hsc70-interacting protein; CHOP, cyclophosphamide, doxorubicin, vincristine, and prednisolone; MEK, mitogen-activated protein kinase; MM, multiple myeloma; ROS, reactive oxygen species; PDX, patient–derived xenograft; T-ALL, T-cell acute lymphoblastic leukemia.

Table 8.

Clinical studies of replication stress response inhibitors in hematologic malignancies

InhibitorPhaseStudyTargetTreatmentMalignancyNumber of patientsClinicalTrials.gov identifierFindings
SRA737 1/2 Sponsored by Sierra Oncology CHK1 Monotherapy Advanced solid tumors or NHL 107 NCT02797964 Completed in 2019, not reported 
PEP07 Sponsored by Pharmaengine CHK1 Monotherapy Refractory
AML and MCL 
32 NCT05659732 Ongoing 
Prexasertib Sponsored by M.D. Anderson Cancer Center CHK1 Combined with cytarabine and fludarabine Refractory
CML, AML, and MDS 
15 NCT02649764 Completed in 2022, not reported 
Prexasertib Sponsored by Dana-Farber Cancer Institute CHK1 Combined with mitoxantrone, etoposide, and cytarabine Refractory
AML and MDS 
NCT03735446 Terminated in 2019, not reported 
Ceralasertib 1/2 Jurczak et al, 2023140  ATR Monotherapy;
combined with acalabrutinib 
Relapsed/refractory CLL 11 NCT03328273 Ceralasertib alone showed limited clinical benefit. Acalabrutinib + ceralasertib was tolerable with limited preliminary clinical activity observed in 2 patients with BTK inhibitor-naïve, del(11q) CLL 
Ceralasertib Sponsored by AstraZeneca ATR Monotherapy Refractory
CLL, PLL, and
B-cell NHL 
NCT01955668 Terminated in 2013, not reported 
Ceralasertib Sponsored by AstraZeneca ATR Monotherapy Progressive
MDS, CMML 
52 NCT03770429 Ongoing 
Camonsertib 1/2 Hu et al, 2023141  ATR Combined with olaparib Relapsed/refractory CLL 45 NCT05405309 Ongoing 
AZD1775 Sponsored by Mayo Clinic WEE1 Monotherapy; combination with cytarabine Refractory
AML amd MDS 
NCT02666950 Terminated in 2019, not reported 
MK-8776 Webster et al, 2017142  WEE1 Combination with cytarabine Refractory
AML 
32 NCT01870596 Well tolerated. Combination therapy did not improve complete response rates or 1-year overall survival when compared with cytarabine alone, despite transiently increasing DNA damage in vivo 
MK-8776 Karp et al, 2012143  WEE1 Combination with cytarabine Refractory
AML, ALL, and CML 
24 NCT00907517 Cardiac and neurotoxic effects occurred at the WEE1 inhibitor dose of 80 mg/m2; 8 of 24 patients, including 2 with complex karyotype, treated with ≥80 mg/m2 WEE1 inhibitor doses attained complete remission. WEE1 inhibitor at 40 mg/m2 induced H2AX phosphorylation, a marker of DNA damage, in leukemic cells. 
Adavosertib Shafer et al, 2023144  WEE1 Combination with belinostat Relapsed and refractory AML and MDS 20 NCT02381548 Grade 4 CRS occurred at 225 mg per day adavosertib and 1000 mg per m2 belinostat, and was dose limiting. No clinical benefit was observed. 
InhibitorPhaseStudyTargetTreatmentMalignancyNumber of patientsClinicalTrials.gov identifierFindings
SRA737 1/2 Sponsored by Sierra Oncology CHK1 Monotherapy Advanced solid tumors or NHL 107 NCT02797964 Completed in 2019, not reported 
PEP07 Sponsored by Pharmaengine CHK1 Monotherapy Refractory
AML and MCL 
32 NCT05659732 Ongoing 
Prexasertib Sponsored by M.D. Anderson Cancer Center CHK1 Combined with cytarabine and fludarabine Refractory
CML, AML, and MDS 
15 NCT02649764 Completed in 2022, not reported 
Prexasertib Sponsored by Dana-Farber Cancer Institute CHK1 Combined with mitoxantrone, etoposide, and cytarabine Refractory
AML and MDS 
NCT03735446 Terminated in 2019, not reported 
Ceralasertib 1/2 Jurczak et al, 2023140  ATR Monotherapy;
combined with acalabrutinib 
Relapsed/refractory CLL 11 NCT03328273 Ceralasertib alone showed limited clinical benefit. Acalabrutinib + ceralasertib was tolerable with limited preliminary clinical activity observed in 2 patients with BTK inhibitor-naïve, del(11q) CLL 
Ceralasertib Sponsored by AstraZeneca ATR Monotherapy Refractory
CLL, PLL, and
B-cell NHL 
NCT01955668 Terminated in 2013, not reported 
Ceralasertib Sponsored by AstraZeneca ATR Monotherapy Progressive
MDS, CMML 
52 NCT03770429 Ongoing 
Camonsertib 1/2 Hu et al, 2023141  ATR Combined with olaparib Relapsed/refractory CLL 45 NCT05405309 Ongoing 
AZD1775 Sponsored by Mayo Clinic WEE1 Monotherapy; combination with cytarabine Refractory
AML amd MDS 
NCT02666950 Terminated in 2019, not reported 
MK-8776 Webster et al, 2017142  WEE1 Combination with cytarabine Refractory
AML 
32 NCT01870596 Well tolerated. Combination therapy did not improve complete response rates or 1-year overall survival when compared with cytarabine alone, despite transiently increasing DNA damage in vivo 
MK-8776 Karp et al, 2012143  WEE1 Combination with cytarabine Refractory
AML, ALL, and CML 
24 NCT00907517 Cardiac and neurotoxic effects occurred at the WEE1 inhibitor dose of 80 mg/m2; 8 of 24 patients, including 2 with complex karyotype, treated with ≥80 mg/m2 WEE1 inhibitor doses attained complete remission. WEE1 inhibitor at 40 mg/m2 induced H2AX phosphorylation, a marker of DNA damage, in leukemic cells. 
Adavosertib Shafer et al, 2023144  WEE1 Combination with belinostat Relapsed and refractory AML and MDS 20 NCT02381548 Grade 4 CRS occurred at 225 mg per day adavosertib and 1000 mg per m2 belinostat, and was dose limiting. No clinical benefit was observed. 

BTK, Bruton tyrosine kinase; CMML, chronic myelomonocytic leukemia; CRS, cytokine release syndrome; MCL, mantle cell lymphoma; NHL, non-Hodgkin lymphoma.

Combining DDR targeting with immunotherapy may have therapeutic potential

Recently, it was discovered that PARP inhibitors and ATR inhibitors have immunomodulatory properties that could support their potential use with immunotherapy (Figure 4). In AML, PARP promotes immune escape by repressing the expression of ligands for NKG2D, an NK-cell activating receptor, on leukemic stem cells.150 Consequently, reexpression of NKG2D ligands by PARP inhibition, combined with the adoptive transfer of allogeneic NK cells, suppressed leukemogenesis in patient–derived xenotransplantation models and is currently being evaluated within a phase 1/2 trial (ClinicalTrials.gov identifier: NCT05319249). PARP inhibitors and ATR inhibitors could also promote antitumor immunity by inducing cGAS-STING activity, as demonstrated across solid tumors,151-154 although this requires validation in hematologic malignancies. In the context of TP53 loss, ATR inhibition could additionally exert immunogenic activity through activation of the RLR pathway resulting from the concomitant loss of the G1/S and G2/M cell cycle checkpoints.155 

Figure 4.

Interaction between DDR defects and antitumor immunity. DDR defects may promote antitumor immune responses through increased mutability and enhanced tumor antigenicity, as well as by inducing cGAS/STING signaling and interferon-stimulated gene (ISG) response that result in the recruitment of immune effector cells. Tumor cells evade antitumor immunity, for example by upregulating the programmed death-ligand 1 (PD-L1)/programmed cell death protein 1 (PD-1) immune checkpoint. DDR–targeting therapies such as MDM2 inhibitors, PARP inhibitors, and ATR inhibitors (indicated by red arrows) could augment antitumor immunity and be used in conjunction with ICIs. Professional illustration by Patrick Lane, ScEYEnce Studios.

Restoration of p53 function could also be achieved in TP53-aberrant tumors with residual wild-type TP53 by inhibition of murine double minute 2 (MDM2), a negative regulator of p53. In AML, MDM2 inhibitors simultaneously increase leukemic TNF-related apoptosis-inducing ligand (TRAIL) receptor and HLA class II expression, resulting in enhanced sensitivity to allogeneic T-cell–mediated cytotoxicity.156 Moreover, variable expression of human endogenous retroviruses has been reported in hematologic malignancies.157,158 Hence, the recent demonstration that MDM2 inhibition promotes interferon-dependent immunogenicity, via human endogenous retrovirus induction, could be of relevance.159 Furthermore, MDM2 inhibitors act on T cells to potentiate antitumor activity by enhancing STAT5 stability.160 Together, these observations support therapeutic strategies that combine MDM2 inhibitors with immunotherapy.

Novel mechanistic insights from recent research, as reviewed herein, have advanced our understanding of the role of DDR defects in driving hematologic malignancies and potential approaches in which these defects could be therapeutically targeted. These fundamental advances, however, have yet to result in major paradigm shifts toward precision medicine in the clinical management of such malignancies. In our view, several important questions remain to be addressed for precision targeting of DDR defects to be realized.

First, how do cellular addictions resulting from a specific DDR defect differ across tumor types?

Functional perturbation screens are key to identifying synthetically lethal partners with specific DDR defects but are lacking in many hematologic malignancies. The effect of DDR defects are likely context dependent, and the landscape of functional addictions conferred by a specific DDR defect may vary according to tumor type, the timing of its acquisition during tumor development (early vs late), as well as clonal and microenvironmental features. Understanding the nature of such heterogeneity through functional interrogation of robust models of hematologic malignancies and analysis of responders vs nonresponders to specific DDR inhibitors across diverse tumor types will facilitate therapeutic stratification and optimization of synthetic lethal strategies.

Second, how can DDR–immune interactions be effectively harnessed for cancer treatment?

Emerging evidence suggests that immune microenvironments in hematologic malignancies could be shaped by DDR defects, but the exact mechanisms remain unclear. In particular, the impact of specific DDR defects on cancer cell state, neoantigen load, and tumor immunogenicity remains to be clarified. Likewise, the functional integrity of antigen-agnostic DNA/RNA-sensing pathways and immune effector responses to DDR defects are yet to be characterized fully across different hematologic malignancies. Deciphering the characteristics and dynamics of the DDR-immune cross talk will be critical for harnessing these interactions and overcoming immune evasion. In this regard, strategies to redirect tumor-supporting inflammatory response to more specific antitumor response may hold promise.

Finally, how do intratumoral heterogeneity and clonal evolution shape tumor response to DDR inhibitors?

In addition to intertumoral heterogeneity, intratumoral heterogeneity inherent across hematologic malignancies may complicate therapeutic targeting of DDR defects. Each subclonal population within a tumor harboring a different constellation of DDR alterations (or a lack thereof) will possess residual DDR activity of a different nature and magnitude. A threshold of residual DDR signaling activity has been postulated to dictate the nature of response to DDR inhibitors68; consequently, each clonal subpopulation will exhibit differential response to different DDR inhibitors and to different doses of the same inhibitor. Given such intratumoral heterogeneity and the vast network of backup DDR pathways that tumor cells could use, targeting multiple cellular dependencies simultaneously would likely be necessary to reduce the likelihood of therapeutic resistance. Hence, the evaluation and optimization of therapeutic combinations will be important. Moreover, the careful calibration of DDR inhibitor drug doses in relation to tumor subclonal composition could prevent underdosing that may lead to potentiation of genomic instability and clonal escape, while avoiding toxic effects from overdosing. Single-agent and combinatorial testing of DDR inhibitors and immune modulators in the preclinical and clinical settings, guided by longitudinal monitoring of clonal dynamics and DDR function at subclonal or single-cell resolution, represents the way forward toward this goal.

This work was supported by a Cancer Research UK Clinician Scientist Fellowship (RCCFELCSF-May21∖100002) (M.K.), and by a grant from the Cancer Research UK Programme (grant C20807/A2864) (T.S., A.A.).

Contribution: M.K., A.A., and T.S. wrote and approved the final version of the manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests.

Correspondence: Tatjana Stankovic, Institute of Cancer and Genomic Sciences, University of Birmingham, Vincent Drive, Edgbaston, Birmingham B15 2TT, United Kingdom; email: t.stankovic@bham.ac.uk; and Marwan Kwok, Institute of Cancer and Genomic Sciences, University of Birmingham, Vincent Drive, Edgbaston, Birmingham B15 2TT, United Kingdom; email: m.kwok@bham.ac.uk.

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Author notes

Data are available upon reasonable request from the corresponding authors, Tatjana Stankovic (t.stankovic@bham.ac.uk) and Marwan Kwok (m.kwok@bham.ac.uk).

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