Genomic scars as biomarkers of homologous recombination deficiency and drug response in breast and ovarian cancers
© Watkins et al.; licensee BioMed Central Ltd. 2014
Published: 3 June 2014
Poly (ADP-ribose) polymerase (PARP) inhibitors and platinum-based chemotherapies have been found to be particularly effective in tumors that harbor deleterious germline or somatic mutations in the BRCA1 or BRCA2 genes, the products of which contribute to the conservative homologous recombination repair of DNA double-strand breaks. Nonetheless, several setbacks in clinical trial settings have highlighted some of the issues surrounding the investigation of PARP inhibitors, especially the identification of patients who stand to benefit from such drugs. One potential approach to finding this patient subpopulation is to examine the tumor DNA for evidence of a homologous recombination defect. However, although the genomes of many breast and ovarian cancers are replete with aberrations, the presence of numerous factors able to shape the genomic landscape means that only some of the observed DNA abnormalities are the outcome of a cancer cell’s inability to faithfully repair DNA double-strand breaks. Consequently, recently developed methods for comprehensively capturing the diverse ways in which homologous recombination deficiencies may arise beyond BRCA1/2 mutation have used DNA microarray and sequencing data to account for potentially confounding features in the genome. Scores capturing telomeric allelic imbalance, loss of heterozygosity (LOH) and large scale transition score, as well as the total number of coding mutations are measures that summarize the total burden of certain forms of genomic abnormality. By contrast, other studies have comprehensively catalogued different types of mutational pattern and their relative contributions to a given tumor sample. Although at least one study to explore the use of the LOH scar in a prospective clinical trial of a PARP inhibitor in ovarian cancer is under way, limitations that result in a relatively low positive predictive value for these biomarkers remain. Tumors whose genome has undergone one or more events that restore high-fidelity homologous recombination are likely to be misclassified as double-strand break repair-deficient and thereby sensitive to PARP inhibitors and DNA damaging chemotherapies as a result of prior repair deficiency and its genomic scarring. Therefore, we propose that integration of a genomic scar-based biomarker with a marker of resistance in a high genomic scarring burden context may improve the performance of any companion diagnostic for PARP inhibitors.
Cancer is a disease of the genome. In certain types of cancers, a handful of mutations drive and accompany carcinogenesis; in others, tumor growth unfolds in the context of widespread genomic turmoil . The latter scenario is the consequence of the tumor securing a mutator phenotype in which one or more of the mechanisms that preserve genomic integrity are undermined. The resultant increase in the rate of spontaneous change to the genome, a phenomenon termed ‘genomic instability’, furnishes the genetic variation that is grist to the mill of natural selection . Immune responses, anti-growth signaling, and competition for space and resources all contribute to the selection of cancer cell clones with the fitness advantage to proliferate and dominate the tumor landscape .
Unearthing the information buried within cancer genomes will have two consequences for the management of cancer in the clinic. On the one hand, identification of the genetic abnormalities that direct the acquisition of malignant features other than the mutator phenotype may enable the selection of therapies that disrupt the relevant oncogenic pathway. On the other hand, tracing scars in a patient’s tumor genome back to particular drivers of the mutator phenotype that caused them will enable the selection of treatments that target these origins. In this review, we will focus on the latter application and, in particular, on how the genomic scars that are carved out by a deficiency in a DNA repair process known as homologous recombination (HR) may be measured and used as biomarkers or companion diagnostics for response to platinum-based chemotherapies and synthetic lethal agents such as the poly (ADP-ribose) polymerase (PARP) inhibitors.
The need for a companion diagnostic based on homologous recombination deficiency
Familial mutations in one copy of either the BRCA1 or BRCA2 gene predispose patients to female breast (85% lifetime risk), ovarian (10% to 40%), male breast, pancreatic, or prostate cancer . The majority of breast tumors that develop in carriers of BRCA1 mutations - the products of which are involved in HR - are triple-negative breast cancers (TNBCs) overlapping with the gene expression-defined subtype of breast cancer known as ‘basal-like breast cancer’, whereas BRCA2 mutation-associated breast cancers have a less restricted immunohistochemical phenotype [5–7]. As a result of the BRCA1/2-related deficiency in HR, pre-cancerous cells within at-risk organs are unable to reliably repair DNA double-strand breaks , resulting in genomic instability that eventually leads to cancer. These tumors are intrinsically sensitive to DNA damage response inhibitors, such as the PARP inhibitors, whose putative efficacy leverages upon a synthetic lethal effect  in which cell death results from mutations in two or more genes but not in each gene individually (reviewed in ). This phenomenon is well illustrated by PARP inhibition in BRCA1/2-deficient cells whereby PARP-dependent base excision repair and replication fork maintenance functions become critical to cell viability.
Elegant preclinical work by Bryant and colleagues  and Farmer and colleagues  demonstrating the increased sensitivity of BRCA1/2-deficient cells to PARP inhibition and the subsequent resistance to PARP inhibition on restoration of BRCA2 functionality provided the impetus for the use of PARP inhibitors in patients with BRCA1/2-associated cancers and subsequently in sporadic cancers that display ‘BRCAness’ (that is, have defective HR without germline BRCA1/2 mutations) . BRCAness can be explained by epigenetic silencing of BRCA1/2 or the inactivation of several other HR-associated genes such as PTEN, ATM, ATR, AURA, PALB2, BRIP, and RAD51 and the FANC family of genes [14–18]. These have been associated with several malignancies, including TNBC and sporadic high-grade serous ovarian cancer (HGSC).
Despite the early success of PARP inhibitors in demonstrating efficacy and a favorable toxicity profile in the treatment of previously heavily treated hereditary BRCA1/2-related breast and ovarian cancers [19–22], trials that expanded to include patients without BRCA1/2 mutations were less successful. Clinical features considered surrogates for BRCAness within these trials (for example, TNBC or HGSC) might not have been sufficiently specific in predicting response to PARP inhibitors. Indeed, 50% of HGSCs are thought to be HR-deficient .
Recent recognition that iniparib (also known as BSI-201 or SAR240550) from BiPar/Sanofi (formerly Sanofi-Aventis, Paris, France) was erroneously considered a PARP inhibitor during its clinical evaluation within a phase III trial [24, 25], and new phase I and II data reporting on the anti-tumor activity of various potent PARP inhibitors such as niraparib (MK4827) , BMN673 , and rucaparib  in BRCA1/2-mutated tumors and sporadic HGSC, non-small-cell lung cancer, prostate cancer, and pancreatic cancer, have renewed enthusiasm for PARP inhibitor drug development. Therefore, the challenge remains to develop an efficient and coordinated strategy to identify effective biomarkers such that the patients who are more likely to respond to drugs like the PARP inhibitors may be identified. The complexity of the crosstalk between DNA repair pathways suggests that assays that detect the status of multiple DNA repair pathways could prove critical for PARP inhibitor biomarker development.
Genomic aberrations in cancer
Genomic scars as reporters of homologous recombination deficiency and drug response
Genomic scars of homologous recombination deficiency and relationships to drug response
Data sets used (sample size)
Segmented allele-specific copy number from SNP microarray data
Telomeric allelic imbalance score (NtAi)
1. Indicate sensitivity to platinum drugs
Integer between 0 and 46 per sample
Breast cancer cell lines (10 + 24)
2. Indicate BRCA1/2 dysfunction
Cisplatin-1 TNBC trial (27)
Cisplatin-2 TNBC trial (37)
TCGA HGSCs (218)
Homologous recombination defect (HRD) score
1. Indicate HR dysfunction
Integer from 0 upper sample
MDACC ovarian cancers (152)
2. Indicate sensitivity to platinum drugs
UPMC ovarian cancers (152)
TCGA ovarian cancers (435)
Cancer cell lines (57)
Cisplatin-1 TNBC trial (27)
Cisplatin-2 TNBC trial (37)
PreECOG TNBC/BRCA1/2 trial (80)
Large-scale transition (LST) score
1. Indicate HR dysfunction
Integer from 0 upper sample
BLBC discovery set (65)
2. Indicate sensitivity to platinum drugs
BLBC validation set (55)
BLBC cell lines (17)
Cisplatin-1 TNBC trial (27)
Cisplatin-2 TNBC trial (37)
1. Indicate sensitivity to platinum drugs
Three clusters of tumors: HiA,
Boston HGSCs (47)
2. Indicate BRCA1/2 dysfunction
HiB, and Lo
Boston TNBCs (50)
3. Provide prognostic information
AOCS HGSCs (85)
TCGA HGSCs (116)
Single-nucleotide variant calls from exome sequencing data
Total number of somatic, synonymous, and non-synonymous coding mutations (Nmut)
1. Indicate sensitivity to platinum drugs
Integer from 0 upper sample
TCGA HGSCs (316)
2. Indicate BRCA1/2 dysfunction
3. Provide prognostic information
Mutational catalogue from whole-genome sequencing data
Mutational signature 3/Mutational signature D
Indicate BRCA1/2 dysfunction
Proportion of mutational spectrum contributed by mutational signature 3 per sample
Initial breast cancer data set (21)
Larger breast cancer data set (879)
On account of these issues, recent research has taken advantage of the allelic information and mutational context afforded by advances in single-nucleotide polymorphism (SNP) microarray and high-throughput sequencing technologies, respectively, and several measures of scarring believed to report an HRD have been developed.
Structural chromosomal instability scars from microarrays
By training a classifier on bacterial artificial chromosome and oligonucleotide array comparative genomic hybridization (aCGH) data from BRCA1/2 germline mutation status-annotated breast cancer data sets, several studies have demonstrated the utility of genome-wide information in identifying HR-defective tumors, which they also linked to better platinum response rates [40–42]. In general, these studies found that BRCA1 and BRCA2 germline-mutated cancers harbored a greater number of break points and hence copy number changes. In two studies of independent TNBC cohorts, these aCGH classifiers exhibited a sensitivity of approximately 80% in defining samples with BRCA1 mutation [40, 42]. However, in comparison with newer SNP microarray technology, aCGH presents a number of limitations, which make it more difficult to discriminate between HRD-related genomic changes and the many confounding alterations that can affect the genome, leading to poorer specificity. Specifically, the information from SNP microarray platforms makes it possible to distinguish between inherited copy number changes due to normal cell contamination and acquired DNA repair defect-related changes in cancer cells, an ability that is notably absent from aCGH analyses. Moreover, as one study described below demonstrates, the capacity to estimate tumor ploidy status from SNP microarray data - again a feature absent from aCGH data - may have implications for predicting platinum treatment outcome .
In contrast, Wang and colleagues  discovered that clustering HGSCs according to significantly frequent regions of LOH produces three platinum response-linked groups of tumors: one harboring comparatively little LOH (Lo cluster) and two possessing high levels of LOH: the HiA and HiB clusters, distinguished by the presence and absence of 13q chromosomal loss and more frequent LOH on 5q and 17, respectively (Table 1). When the platinum response data available for three independent HGSC data sets were used, patients in the HiA cluster were found to have lower rates of resistance. In contrast, the rate of resistance was higher for the HiB and Lo clusters. Application of this LOH clustering approach to a high-grade breast cancer data set separated tumors into a Lo cluster comprising HER2- and hormone receptor-positive cancers and a Hi cluster comprising TNBCs and BRCA1-associated tumors. However, the relevance of the HiA-versus-HiB distinction to TNBC has yet to be investigated.
Leveraging on the known association between BRCA1/2 deficiency and response to DNA damage-inducing drugs [21, 43], Abkevich and colleagues , of Myriad Genetics Inc. (Salt Lake City, UT, USA), developed an HRD score defined as the number of subchromosomal segments (excluding chromosome 17) with LOH of a size exceeding 15 Mbp but shorter than the length of a complete chromosome (Figure 2 and Table 1). The objective of this score was to provide a comprehensive means of assessing defects in HR beyond sequencing of BRCA1 and BRCA2. To evaluate the correlation between HRD score and HR deficiency, three independent HGSC cohorts along with 57 cancer cell lines were assessed for bi-allelic functional inactivation of BRCA1, BRCA2, or RAD51C through the integration of mutation, methylation, expression, and LOH data. The presence of bi-allelic inactivation of these genes was taken as a surrogate for HR deficiency. In all data sets, HRD score was elevated in HR-deficient samples, which stood in contrast to measures of whole chromosomal LOH and LOH of regions of less than 15 Mbp in length, suggesting that the maximum and minimum size thresholds employed were able to filter out aberrations because of numerical chromosomal instability and short non-HRD-related aberrations, respectively. Furthermore, in the phase II PrECOG 0105 study of gemcitabine and carboplatin plus iniparib (BSI-201) as neoadjuvant therapy for TNBC and BRCA1/2 mutation-associated breast cancer, 70% of patients with an HRD score of more than 9 responded compared with 20% of patients with an HRD score of less than 10, indicating that HRD score was significantly correlated with pathologic response. This association remained significant when patients with known BRCA1 or BRCA2 were excluded from the analysis . Besides breast and ovarian cancers, HRD scores above 9 were characteristic for HR deficiency and were also observed in esophagus, lung, and prostate tumors as well as gastric, colon, and brain cell lines, advancing the case that HRD score has general applicability to distinct cancer types.
A separate signature of chromosomal instability, termed ‘large-scale transitions’ (LSTs), was established by using basal-like breast cancer and cell line data sets in which samples with BRCA1 promoter methylation or BRCA1/2 mutation (germline or somatic) were considered BRCA1/2-inactive . For this genomic scar, copy number variant regions shorter than 3 Mb are first filtered and smoothed. This is followed by a count of the number of break points that occur between regions of at least 10 Mb in length for each chromosomal arm of a sample, with the sample’s LST score being the sum of these counts (Figure 2 and Table 1). After genomic ploidy was estimated on the basis of SNP-based microarray data, near-diploid tumors were classified as BRCA1/2-deficient if the number of LSTs exceeded 15. In near-tetraploid tumors, an LST cutoff value of 20 was used to segregate tumors into BRCA1/2-intact and BRCA1/2-deficient. The LST measure of HRD-related genomic scarring and its associated cutoff were found to significantly indicate BRCA1/2 deficiency in an independent validation data set of basal-like breast cancers as well as basal-like breast cancer cell lines.
Recently, it has been shown that HRD, NtAi, and LST are highly correlated with each other and with BRCA1/2 deficiency (BRCA1 promoter methylation, germline, or somatic) in a breast cancer cohort that encompassed all the molecularly defined subtypes. Among TNBCs, all three scores were associated with cisplatin sensitivity . Furthermore, the arithmetic mean of the three scores was even more strongly associated with BRCA1/2 deficiency and therapeutic response.
Sequencing-based mutational signatures
The advent of massively parallel sequencing has enabled the mutational effects of a diverse range of etiological drivers to be unraveled. By finding the total number of somatic synonymous and non-synonymous mutations (Nmut) in the exome of each ovarian tumor in a cohort of 316, Birkbak and colleagues  found Nmut to be higher among patients who responded well to chemotherapy (platinum agent with or without taxane) than among those who failed to respond (Table 1). Moreover, higher Nmut was observed in patients with germline or somatic BRCA1/2 mutation. Interestingly, within the 70 ovarian tumors harboring either germline or somatic BRCA1/2 mutation, cases that were considered chemotherapy-sensitive possessed a higher mutational burden than cases that were considered resistant, whereas in the wild-type BRCA1/2 population, this association was not observed.
In contrast to the integer scores that Nmut and three of the SNP microarray-based scars provide, several sequence-based studies have concentrated on examining the specific type and pattern of mutations that certain genomic events leave in their wake. In the first study to use mutational context to mathematically extract signatures of mutational processes, Nik-Zainal and colleagues  catalogued somatically acquired mutational signatures in 21 deep-sequenced breast cancers (Table 1). These included eight TNBCs, of which five possessed germline mutation and heterozygous loss of BRCA1, and four non-TNBC tumors with BRCA2 germline mutation and heterozygous loss. Interrogating the bases either side of each substitution to give a trinucleotide sequence context comprising 96 possible combinations followed by non-negative matrix factorization, the authors were able to decompose the spectrum of sequence contexts into five signatures (‘signatures A-E’) each believed to represent the scar of a distinct mutational process . Hierarchical clustering of the relative contributions of these signatures to the mutational catalogue of each breast cancer revealed ‘signature A’ and ‘signature D’, representing a lesser and greater proportion of the total signature contribution, respectively, in BRCA1/2-associated tumors than in BRCA1/2 wild-type tumors. Whereas ‘signature A’ exhibited enrichment for C > T conversions at XpCpG trinucleotides, ‘signature D’ displayed a relatively even distribution of mutations across the 96 trinucleotides. During investigation of the patterns of indels in the 21 tumors, two further hallmarks of BRCA1/2 mutation were ascertained. The first was the observation that the size of indels was typically greater in BRCA1/2-inactivated cancers. The second hallmark required the authors to examine whether the sequences flanking each indel were either short tandem repeats or short homologous sequences. BRCA1/2-inactivated tumors were differentiated from BRCA1/2-intact tumors by having a greater frequency of short homologous sequences adjoining indels. This observation is congruent with the notion of error-prone non-homologous end joining compensating for defective HR since such short homology-flanked indels would facilitate the joining of two non-homologous sequences through processes such as micro-homology single-strand annealing.
Following this seminal work, the repertoire of mutational signatures across 30 different cancer types was examined, and a further 16 substitution-based mutational signatures were identified (Table 1) . The BRCA1/2 defect-associated mutational signature D was relabeled ‘signature 3’ and was seen to be exclusively over-represented in breast, ovarian, and pancreatic cancers for which germline mutations to BRCA1/2 have been reported to elevate the risk. Among breast tumors in the study, ‘signature 3’ was found to be operative in 255 out of 879 cases, which exceeds the estimated 5% to 10% of breast cancers accounted for by BRCA1/2-mutated tumors , supporting the case that ‘signature 3’ captures the effects of HR deficiencies attributable to a variety of means of BRCA1/2 inactivation as well as abnormalities in the function of other genes associated with HR.
The companion diagnostic challenge
The development of biomarkers that accurately and robustly predict treatment outcome is a key part of the drive toward personalized medicine. Already one prospective clinical trial is under way to establish HRD score for selecting appropriate patients with ovarian cancer for treatment with the PARP inhibitor, rucaparib (ClinicalTrials.gov ID: NCT01891344), and equivalent studies will be carried out as exploratory analyses in TNBCs or BRCA1/2-related breast cancers. Moreover, despite the sensitivity with which the genomic scars discussed predict inactivation of genes involved in HR, limitations exist to the application of these assays as a companion diagnostic for drugs that target HRDs. Unlike gene expression, which is liable to the influence of many confounding variables, genomic scars offer a comparatively stable readout of a tumor’s lifetime DNA damage repair competency, including the impact of HR inactivation where constructed to do so. Consequently, similar to other biomarkers such as estrogen receptor testing as a companion diagnostic for hormonal therapy, genomic scars are likely to prove to be high-negative predictive value (NPV) biomarkers of response to HR deficiency-targeting drugs, meaning that the great majority of patients who test negative for the biomarker will not benefit from the therapy. However, the relative stability of genomic scars is also their weakness. By chronicling the past but not documenting the present, genomic scar measures report whether or not a defect in HR has been operative at some point in tumorigenesis and not whether it remains operative at the point of treatment. A variety of mechanisms could restore HR or compensate for its loss in the aftermath of genomic scarring. Loss of 53BP1 and reversion mutations to BRCA1 and BRCA2[50–53] have both been demonstrated to confer resistance to platinum agents and PARP inhibitors through the restoration of HR. Pathways that operate independently of repair processes, such as drug catabolism and transporter activity, may also grant resistance . To add further complexity to the issue, one study has found that upregulated activity of the c-MYC oncoprotein induces resistance to cisplatin mediated by regulation of PARP1-interacting genes . Consequently, genomic scarring measures are likely to have relatively low positive predictive values (PPVs) with the consequence that a substantial number of patients who would not benefit from platinum-based agents and PARP inhibitors would be predicted to do so. Thus, although the argument for using genomic scars as a companion diagnostic may be sustainable on the basis that platinum-based agents either are the standard of care (in ovarian cancer) or have a toxicity profile at least comparable to that of standard alternatives (in breast cancer), the development of a biomarker that possesses both high NPV and PPV represents an optimal and achievable objective.
Although targeting DNA repair deficiencies in cancer has been a mainstay of the therapeutic oncology armamentarium for decades, this has been more through serendipity and observation of average effects in populations than by mechanistic DNA repair activity-informed design. Consequently, the approach has lacked a personalized medicine companion diagnostic strategy. Consistent with the requirement of the US Food and Drug Administration for every new drug to be accompanied to market by a biomarker that predicts its effectiveness, the rapidity with which PARP inhibitors and now genomic scars have been brought from concept to clinical trial reflects the current interest in selecting patients for whom administration of a drug that impacts the DNA damage response is predicted to be clinically beneficial. However, therapies directed at HRDs are not the only examples of therapy that could be individualized by using genomic scar-based biomarkers. Any flaw in the genomic maintenance machinery that (a) can be capitalized on therapeutically and (b) leaves an imprint in the genome that is detectable through current techniques and technologies is ripe for the development of a genomic scar to predict drug response. In compiling a list of 21 validated mutational signatures, researchers have already taken the first steps toward the goal of constructing a repertoire of integrated predictive biomarkers . One example outside the context of HR deficiency is that of Alexandrov and colleagues’ ‘Signature 6’ , which was found to be associated with a defect in DNA mismatch repair. Such a signature may in turn predict the effectiveness of drugs like methotrexate, which has been shown to be selectively effective in mismatch repair-deficient cancer cells . The next steps therefore will require the characterization of the etiologies behind every one of these signatures and, in the case of SNP microarray-based scars, the expansion of our understanding of the interaction between the scar repertoire and the presence of other targetable deficiencies in the DNA maintenance machinery.
This article is part of a series on ‘Recent advances in breast cancer treatment’, edited by Jenny Chang. Other articles in this series can be found at http://breast-cancer-research.com/series/treatment.
array comparative genomic hybridization
Copy number aberration
High-grade serous ovarian cancer
Homologous recombination defect
Loss of heterozygosity
Number of coding mutation
Negative predictive value
telomeric allelic imbalance score
Poly (ADP-ribose) polymerase
Positive predictive value
Triple-negative breast cancer.
AG, SI, and ANJT are supported by Breakthrough Breast Cancer at its Research Unit at Guy’s Hospital, King’s College London. This research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the Department of Health, or Breakthrough Breast Cancer.
- Alexandrov LB, Nik-Zainal S, Wedge DC, Aparicio SA, Behjati S, Biankin AV, Bignell GR, Bolli N, Borg A, Børresen-Dale AL, Boyault S, Burkhardt B, Butler AP, Caldas C, Davies HR, Desmedt C, Eils R, Eyfjörd JE, Foekens JA, Greaves M, Hosoda F, Hutter B, Ilicic T, Imbeaud S, Imielinski M, Jäger N, Jones DT, Jones D, Knappskog S, Kool M, et al: Signatures of mutational processes in human cancer. Nature. 2013, 500: 415-421. 10.1038/nature12477.View ArticlePubMedPubMed CentralGoogle Scholar
- Merlo LM, Pepper JW, Reid BJ, Maley CC: Cancer as an evolutionary and ecological process. Nat Rev Cancer. 2006, 6: 924-935. 10.1038/nrc2013.View ArticlePubMedGoogle Scholar
- Greaves M, Maley CC: Clonal evolution in cancer. Nature. 2012, 481: 306-313. 10.1038/nature10762.View ArticlePubMedPubMed CentralGoogle Scholar
- Levy-Lahad E, Friedman E: Cancer risks among BRCA1 and BRCA2 mutation carriers. Br J Cancer. 2007, 96: 11-15. 10.1038/sj.bjc.6603535.View ArticlePubMedPubMed CentralGoogle Scholar
- Carey L, Winer E, Viale G, Cameron D, Gianni L: Triple-negative breast cancer: disease entity or title of convenience?. Nat Rev Clin Oncol. 2010, 7: 683-692. 10.1038/nrclinonc.2010.154.View ArticlePubMedGoogle Scholar
- Mavaddat N, Barrowdale D, Andrulis IL, Domchek SM, Eccles D, Nevanlinna H, Ramus SJ, Spurdle A, Robson M, Sherman M, Mulligan AM, Couch FJ, Engel C, McGuffog L, Healey S, Sinilnikova OM, Southey MC, Terry MB, Goldgar D, O’Malley F, John EM, Janavicius R, Tihomirova L, Hansen TV, Nielsen FC, Osorio A, Stavropoulou A, Benítez J, Manoukian S, Peissel B, et al: Pathology of breast and ovarian cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Cancer Epidemiol Biomarkers Prev. 2012, 21: 134-147. 10.1158/1055-9965.EPI-11-0775.View ArticlePubMedGoogle Scholar
- Turner NC, Reis-Filho JS: Tackling the diversity of triple-negative breast cancer. Clin Cancer Res. 2013, 19: 6380-6388. 10.1158/1078-0432.CCR-13-0915.View ArticlePubMedGoogle Scholar
- Li ML, Greenberg RA: Links between genome integrity and BRCA1 tumor suppression. Trends Biochem Sci. 2012, 37: 418-424. 10.1016/j.tibs.2012.06.007.View ArticlePubMedPubMed CentralGoogle Scholar
- Glendenning J, Tutt A: PARP inhibitors - current status and the walk towards early breast cancer. Breast. 2011, 20 (suppl 3): S12-S19.View ArticlePubMedGoogle Scholar
- Kaelin WG: The concept of synthetic lethality in the context of anticancer therapy. Nat Rev Cancer. 2005, 5: 689-698. 10.1038/nrc1691.View ArticlePubMedGoogle Scholar
- Bryant HE, Schultz N, Thomas HD, Parker KM, Flower D, Lopez E, Kyle S, Meuth M, Curtin NJ, Helleday T: Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature. 2005, 434: 913-917. 10.1038/nature03443.View ArticlePubMedGoogle Scholar
- Farmer H, McCabe N, Lord CJ, Tutt AN, Johnson DA, Richardson TB, Santarosa M, Dillon KJ, Hickson I, Knights C, Martin NM, Jackson SP, Smith GC, Ashworth A: Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature. 2005, 434: 917-921. 10.1038/nature03445.View ArticlePubMedGoogle Scholar
- Turner N, Tutt A, Ashworth A: Hallmarks of ‘BRCAness’ in sporadic cancers. Nat Rev Cancer. 2004, 4: 814-819. 10.1038/nrc1457.View ArticlePubMedGoogle Scholar
- Beger C, Pierce LN, Kruger M, Marcusson EG, Robbins JM, Welcsh P, Welch PJ, Welte K, King MC, Barber JR, Wong-Staal F: Identification of Id4 as a regulator of BRCA1 expression by using a ribozyme-library-based inverse genomics approach. Proc Natl Acad Sci U S A. 2001, 98: 130-135. 10.1073/pnas.98.1.130.View ArticlePubMedPubMed CentralGoogle Scholar
- Esteller M, Silva JM, Dominguez G, Bonilla F, Matias-Guiu X, Lerma E, Bussaglia E, Prat J, Harkes IC, Repasky EA, Gabrielson E, Schutte M, Baylin SB, Herman JG: Promoter hypermethylation and BRCA1 inactivation in sporadic breast and ovarian tumors. J Natl Cancer Inst. 2000, 92: 564-569. 10.1093/jnci/92.7.564.View ArticlePubMedGoogle Scholar
- Saal LH, Gruvberger-Saal SK, Persson C, Lövgren K, Jumppanen M, Staaf J, Jönsson G, Pires MM, Maurer M, Holm K, Koujak S, Subramaniyam S, Vallon-Christersson J, Olsson H, Su T, Memeo L, Ludwig T, Ethier SP, Krogh M, Szabolcs M, Murty VV, Isola J, Hibshoosh H, Parsons R, Borg A: Recurrent gross mutations of the PTEN tumor suppressor gene in breast cancers with deficient DSB repair. Nat Genet. 2008, 40: 102-107. 10.1038/ng.2007.39.View ArticlePubMedGoogle Scholar
- Sourisseau T, Maniotis D, McCarthy A, Tang C, Lord CJ, Ashworth A, Linardopoulos S: Aurora-A expressing tumour cells are deficient for homology-directed DNA double strand-break repair and sensitive to PARP inhibition. EMBO Mol Med. 2010, 2: 130-142. 10.1002/emmm.201000068.View ArticlePubMedPubMed CentralGoogle Scholar
- Turner NC, Reis-Filho JS, Russell AM, Springall RJ, Ryder K, Steele D, Savage K, Gillett CE, Schmitt FC, Ashworth A, Tutt AN: BRCA1 dysfunction in sporadic basal-like breast cancer. Oncogene. 2007, 26: 2126-2132. 10.1038/sj.onc.1210014.View ArticlePubMedGoogle Scholar
- Tutt A, Robson M, Garber JE, Domchek SM, Audeh MW, Weitzel JN, Friedlander M, Arun B, Loman N, Schmutzler RK, Wardley A, Mitchell G, Earl H, Wickens M, Carmichael J: Oral poly(ADP-ribose) polymerase inhibitor olaparib in patients with BRCA1 or BRCA2 mutations and advanced breast cancer: a proof-of-concept trial. Lancet. 2010, 376: 235-244. 10.1016/S0140-6736(10)60892-6.View ArticlePubMedGoogle Scholar
- Gelmon KA, Tischkowitz M, Mackay H, Swenerton K, Robidoux A, Tonkin K, Hirte H, Huntsman D, Clemons M, Gilks B, Yerushalmi R, Macpherson E, Carmichael J, Oza A: Olaparib in patients with recurrent high-grade serous or poorly differentiated ovarian carcinoma or triple-negative breast cancer: a phase 2, multicentre, open-label, non-randomised study. Lancet Oncol. 2011, 12: 852-861. 10.1016/S1470-2045(11)70214-5.View ArticlePubMedGoogle Scholar
- Fong PC, Boss DS, Yap TA, Tutt A, Wu P, Mergui-Roelvink M, Mortimer P, Swaisland H, Lau A, O’Connor MJ, Ashworth A, Carmichael J, Kaye SB, Schellens JH, de Bono JS: Inhibition of poly(ADP-ribose) polymerase in tumors from BRCA mutation carriers. N Engl J Med. 2009, 361: 123-134. 10.1056/NEJMoa0900212.View ArticlePubMedGoogle Scholar
- Audeh MW, Carmichael J, Penson RT, Friedlander M, Powell B, Bell-McGuinn KM, Scott C, Weitzel JN, Oaknin A, Loman N, Lu K, Schmutzler RK, Matulonis U, Wickens M, Tutt A: Oral poly(ADP-ribose) polymerase inhibitor olaparib in patients with BRCA1 or BRCA2 mutations and recurrent ovarian cancer: a proof-of-concept trial. Lancet. 2010, 376: 245-251. 10.1016/S0140-6736(10)60893-8.View ArticlePubMedGoogle Scholar
- Cancer Genome Atlas Research N: Integrated genomic analyses of ovarian carcinoma. Nature. 2011, 474: 609-615. 10.1038/nature10166.View ArticleGoogle Scholar
- Patel AG, De Lorenzo SB, Flatten KS, Poirier GG, Kaufmann SH: Failure of iniparib to inhibit poly(ADP-Ribose) polymerase in vitro. Clin Cancer Res. 2012, 18: 1655-1662. 10.1158/1078-0432.CCR-11-2890.View ArticlePubMedPubMed CentralGoogle Scholar
- O‘Shaughnessy J, Danso MA, Rugo HS, Miller K, Yardley DA, Carlson RW, Finn WS, Freese E, Gupta S, Blackwood-Chirchir A, Winer EP: A randomized phase III study of iniparib (BSI-201) in combination with gemcitabine/carboplatin (G/C) in metastatic triple-negative breast cancer (TNBC). J Clin Oncol. 2013, 29: abstract 1007Google Scholar
- Sandhu SK, Schelman WR, Wilding G, Moreno V, Baird RD, Miranda S, Hylands L, Riisnaes R, Forster M, Omlin A, Kreischer N, Thway K, Gevensleben H, Sun L, Loughney J, Chatterjee M, Toniatti C, Carpenter CL, Iannone R, Kaye SB, de Bono JS, Wenham RM: The poly(ADP-ribose) polymerase inhibitor niraparib (MK4827) in BRCA mutation carriers and patients with sporadic cancer: a phase 1 dose-escalation trial. Lancet Oncol. 2013, 14: 882-892. 10.1016/S1470-2045(13)70240-7.View ArticlePubMedGoogle Scholar
- de Bono JS, Mina LA, Gonzalez M, Curtin NJ, Wang E, Henshaw JW, Chadha M, Sachdev JC, Matei D, Jameson GS, Ong M, Basu B, Wainberg ZA, Byers LA, Chugh R, Dorr A, Kaye SB, Ramanthan RK: First-in human trial of novel oral PARP inhibitor BMN673 in patients with solid tumors. J Clin Oncol. 2013, 31: abstract 2580Google Scholar
- Kristeleit R, Shapiro G, LoRusso P, Infante JR, Flynn M, Patel MR, Tolaney SM, Hilton JF, Calvert AH, Giordano H, Isaacson JD, Borrow J, Allen AR, Jaw-Tsai SS, Burris HA: A phase I dose-escalation and PK study of continuous oral rucaparib in patients with advanced solid tumors. J Clin Oncol. 2013, 31: abstract 2585Google Scholar
- Abkevich V, Timms KM, Hennessy BT, Potter J, Carey MS, Meyer LA, Smith-McCune K, Broaddus R, Lu KH, Chen J, Tran TV, Williams D, Iliev D, Jammulapati S, FitzGerald LM, Krivak T, DeLoia JA, Gutin A, Mills GB, Lanchbury JS: Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer. Br J Cancer. 2012, 107: 1776-1782. 10.1038/bjc.2012.451.View ArticlePubMedPubMed CentralGoogle Scholar
- Nik-Zainal S, Alexandrov LB, Wedge DC, Van Loo P, Greenman CD, Raine K, Jones D, Hinton J, Marshall J, Stebbings LA, Menzies A, Martin S, Leung K, Chen L, Leroy C, Ramakrishna M, Rance R, Lau KW, Mudie LJ, Varela I, McBride DJ, Bignell GR, Cooke SL, Shlien A, Gamble J, Whitmore I, Maddison M, Tarpey PS, Davies HR, Papaemmanuil E, et al: Mutational processes molding the genomes of 21 breast cancers. Cell. 2012, 149: 979-993. 10.1016/j.cell.2012.04.024.View ArticlePubMedPubMed CentralGoogle Scholar
- Campbell PJ, Stephens PJ, Pleasance ED, O’Meara S, Li H, Santarius T, Stebbings LA, Leroy C, Edkins S, Hardy C, Teague JW, Menzies A, Goodhead I, Turner DJ, Clee CM, Quail MA, Cox A, Brown C, Durbin R, Hurles ME, Edwards PA, Bignell GR, Stratton MR, Futreal PA: Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing. Nat Genet. 2008, 40: 722-729. 10.1038/ng.128.View ArticlePubMedPubMed CentralGoogle Scholar
- Geigl JB, Obenauf AC, Schwarzbraun T, Speicher MR: Defining ‘chromosomal instability’. Trends Genet. 2008, 24: 64-69. 10.1016/j.tig.2007.11.006.View ArticlePubMedGoogle Scholar
- Birkbak NJ, Wang ZC, Kim JY, Eklund AC, Li Q, Tian R, Bowman-Colin C, Li Y, Greene-Colozzi A, Iglehart JD, Tung N, Ryan PD, Garber JE, Silver DP, Szallasi Z, Richardson AL: Telomeric allelic imbalance indicates defective DNA repair and sensitivity to DNA-damaging agents. Cancer Discov. 2012, 2: 366-375. 10.1158/2159-8290.CD-11-0206.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang ZC, Birkbak NJ, Culhane AC, Drapkin R, Fatima A, Tian R, Schwede M, Alsop K, Daniels KE, Piao H, Liu J, Etemadmoghadam D, Miron A, Salvesen HB, Mitchell G, DeFazio A, Quackenbush J, Berkowitz RS, Iglehart JD, Bowtell DD, Matulonis UA, Australian Ovarian Cancer Study Group: Profiles of genomic instability in high-grade serous ovarian cancer predict treatment outcome. Clin Cancer Res. 2012, 18: 5806-5815. 10.1158/1078-0432.CCR-12-0857.View ArticlePubMedPubMed CentralGoogle Scholar
- Popova T, Manié E, Rieunier G, Caux-Moncoutier V, Tirapo C, Dubois T, Delattre O, Sigal-Zafrani B, Bollet M, Longy M, Houdayer C, Sastre-Garau X, Vincent-Salomon A, Stoppa-Lyonnet D, Stern MH: Ploidy and large-scale genomic instability consistently identify basal-like breast carcinomas with BRCA1/2 inactivation. Cancer Res. 2012, 72: 5454-5462. 10.1158/0008-5472.CAN-12-1470.View ArticlePubMedGoogle Scholar
- Pathania S, Nguyen J, Hill SJ, Scully R, Adelmant GO, Marto JA, Feunteun J, Livingston DM: BRCA1 is required for postreplication repair after UV-induced DNA damage. Mol Cell. 2011, 44: 235-251. 10.1016/j.molcel.2011.09.002.View ArticlePubMedPubMed CentralGoogle Scholar
- Wang Q, Zhang H, Guerrette S, Chen J, Mazurek A, Wilson T, Slupianek A, Skorski T, Fishel R, Greene MI: Adenosine nucleotide modulates the physical interaction between hMSH2 and BRCA1. Oncogene. 2001, 20: 4640-4649. 10.1038/sj.onc.1204625.View ArticlePubMedGoogle Scholar
- Schepeler T, Lamy P, Hvidberg V, Laurberg JR, Fristrup N, Reinert T, Bartkova J, Tropia L, Bartek J, Halazonetis TD, Pan CC, Borre M, Dyrskjøt L, Orntoft TF: A high resolution genomic portrait of bladder cancer: correlation between genomic aberrations and the DNA damage response. Oncogene. 2013, 32: 3577-3586. 10.1038/onc.2012.381.View ArticlePubMedGoogle Scholar
- Stephens PJ, Greenman CD, Fu B, Yang F, Bignell GR, Mudie LJ, Pleasance ED, Lau KW, Beare D, Stebbings LA, McLaren S, Lin ML, McBride DJ, Varela I, Nik-Zainal S, Leroy C, Jia M, Menzies A, Butler AP, Teague JW, Quail MA, Burton J, Swerdlow H, Carter NP, Morsberger LA, Iacobuzio-Donahue C, Follows GA, Green AR, Flanagan AM, Stratton MR, et al: Massive genomic rearrangement acquired in a single catastrophic event during cancer development. Cell. 2011, 144: 27-40. 10.1016/j.cell.2010.11.055.View ArticlePubMedPubMed CentralGoogle Scholar
- Lips EH, Mulder L, Hannemann J, Laddach N, Vrancken Peeters MT, van de Vijver MJ, Wesseling J, Nederlof PM, Rodenhuis S: Indicators of homologous recombination deficiency in breast cancer and association with response to neoadjuvant chemotherapy. Ann Oncol. 2011, 22: 870-876. 10.1093/annonc/mdq468.View ArticlePubMedGoogle Scholar
- Schouten PC, van Dyk E, Braaf LM, Mulder L, Lips EH, de Ronde JJ, Holtman L, Wesseling J, Hauptmann M, Wessels LF, Linn SC, Nederlof PM: Platform comparisons for identification of breast cancers with a BRCA-like copy number profile. Breast Cancer Res Treat. 2013, 139: 317-327. 10.1007/s10549-013-2558-2.View ArticlePubMedGoogle Scholar
- Vollebergh MA, Lips EH, Nederlof PM, Wessels LF, Schmidt MK, van Beers EH, Cornelissen S, Holtkamp M, Froklage FE, de Vries EG, Schrama JG, Wesseling J, van de Vijver MJ, van Tinteren H, de Bruin M, Hauptmann M, Rodenhuis S, Linn SC: An aCGH classifier derived from BRCA1-mutated breast cancer and benefit of high-dose platinum-based chemotherapy in HER2-negative breast cancer patients. Ann Oncol. 2011, 22: 1561-1570. 10.1093/annonc/mdq624.View ArticlePubMedGoogle Scholar
- Rottenberg S, Jaspers JE, Kersbergen A, van der Burg E, Nygren AO, Zander SA, Derksen PW, de Bruin M, Zevenhoven J, Lau A, Boulter R, Cranston A, O’Connor MJ, Martin NM, Borst P, Jonkers J: High sensitivity of BRCA1-deficient mammary tumors to the PARP inhibitor AZD2281 alone and in combination with platinum drugs. Proc Natl Acad Sci U S A. 2008, 105: 17079-17084. 10.1073/pnas.0806092105.View ArticlePubMedPubMed CentralGoogle Scholar
- Telli ML, Jensen KC, Abkevich V, Hartman AR, Vinayak S, Lanchbury J, Gutin A, Timms K, Ford JM: Homologous recombination deficiency (HRD) score predicts pathologic response following neoadjuvant platinum-based therapy in triple-negative and BRCA1/2 mutation-associated breast cancer (BC). San Antonio Breast Cancer Symposium. 2012, 72: abstract PD09-04Google Scholar
- Timms KM, Abkevich V, Neff C, Morris B, Potter J, Tran TV, Chen J, Sangale Z, Tikishville E, Zharkikh A, Perry M, Gutin A, LAnchbury JS: Association between BRCA1/2 status and DNA-based assays for homologous recombination deficiency in breast cancer. San Antonio Breast Cancer Symposium. 2013, abstract P6-05-10Google Scholar
- Birkbak NJ, Kochupurakkal B, Izarzugaza JM, Eklund AC, Li Y, Liu J, Szallasi Z, Matulonis UA, Richardson AL, Iglehart JD, Wang ZC: Tumor mutation burden forecasts outcome in ovarian cancer with BRCA1 or BRCA2 mutations. PloS One. 2013, 8: e80023-10.1371/journal.pone.0080023.View ArticlePubMedPubMed CentralGoogle Scholar
- Nik-Zainal S, Van Loo P, Wedge DC, Alexandrov LB, Greenman CD, Lau KW, Raine K, Jones D, Marshall J, Ramakrishna M, Shlien A, Cooke SL, Hinton J, Menzies A, Stebbings LA, Leroy C, Jia M, Rance R, Mudie LJ, Gamble SJ, Stephens PJ, McLaren S, Tarpey PS, Papaemmanuil E, Davies HR, Varela I, McBride DJ, Bignell GR, Leung K, Butler AP, et al: The life history of 21 breast cancers. Cell. 2012, 149: 994-1007. 10.1016/j.cell.2012.04.023.View ArticlePubMedPubMed CentralGoogle Scholar
- Campeau PM, Foulkes WD, Tischkowitz MD: Hereditary breast cancer: new genetic developments, new therapeutic avenues. Hum Genet. 2008, 124: 31-42. 10.1007/s00439-008-0529-1.View ArticlePubMedGoogle Scholar
- Jaspers JE, Kersbergen A, Boon U, Sol W, van Deemter L, Zander SA, Drost R, Wientjens E, Ji J, Aly A, Doroshow JH, Cranston A, Martin NM, Lau A, O’Connor MJ, Ganesan S, Borst P, Jonkers J, Rottenberg S: Loss of 53BP1 causes PARP inhibitor resistance in Brca1-mutated mouse mammary tumors. Cancer Discov. 2013, 3: 68-81. 10.1158/2159-8290.CD-12-0049.View ArticlePubMedGoogle Scholar
- Edwards SL, Brough R, Lord CJ, Natrajan R, Vatcheva R, Levine DA, Boyd J, Reis-Filho JS, Ashworth A: Resistance to therapy caused by intragenic deletion in BRCA2. Nature. 2008, 451: 1111-1115. 10.1038/nature06548.View ArticlePubMedGoogle Scholar
- Norquist B, Wurz KA, Pennil CC, Garcia R, Gross J, Sakai W, Karlan BY, Taniguchi T, Swisher EM: Secondary somatic mutations restoring BRCA1/2 predict chemotherapy resistance in hereditary ovarian carcinomas. J Clin Oncol. 2011, 29: 3008-3015. 10.1200/JCO.2010.34.2980.View ArticlePubMedPubMed CentralGoogle Scholar
- Sakai W, Swisher EM, Karlan BY, Agarwal MK, Higgins J, Friedman C, Villegas E, Jacquemont C, Farrugia DJ, Couch FJ, Urban N, Taniguchi T: Secondary mutations as a mechanism of cisplatin resistance in BRCA2-mutated cancers. Nature. 2008, 451: 1116-1120. 10.1038/nature06633.View ArticlePubMedPubMed CentralGoogle Scholar
- Swisher EM, Sakai W, Karlan BY, Wurz K, Urban N, Taniguchi T: Secondary BRCA1 mutations in BRCA1-mutated ovarian carcinomas with platinum resistance. Cancer Res. 2008, 68: 2581-2586. 10.1158/0008-5472.CAN-08-0088.View ArticlePubMedPubMed CentralGoogle Scholar
- Burger H, Loos WJ, Eechoute K, Verweij J, Mathijssen RH, Wiemer EA: Drug transporters of platinum-based anticancer agents and their clinical significance. Drug Resist Updat. 2011, 14: 22-34. 10.1016/j.drup.2010.12.002.View ArticlePubMedGoogle Scholar
- Pyndiah S, Tanida S, Ahmed KM, Cassimere EK, Choe C, Sakamuro D: c-MYC suppresses BIN1 to release poly(ADP-ribose) polymerase 1: a mechanism by which cancer cells acquire cisplatin resistance. Sci Signal. 2011, 4: ra19-View ArticlePubMedGoogle Scholar
- Martin SA, McCarthy A, Barber LJ, Burgess DJ, Parry S, Lord CJ, Ashworth A: Methotrexate induces oxidative DNA damage and is selectively lethal to tumour cells with defects in the DNA mismatch repair gene MSH2. EMBO Mol Med. 2009, 1: 323-337. 10.1002/emmm.200900040.View ArticlePubMedPubMed CentralGoogle Scholar
This article is published under license to BioMed Central Ltd. The licensee has exclusive rights to distribute this article, in any medium, for 6 months following its publication. After this time, the article is available under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.