No abstract

Summary Error-free repair of DNA double-strand breaks (DSB) is achieved by homologous recombination (HR), and BRCA1 is an important factor for this repair pathway1. In the absence of BRCA1-mediated HR, administration of PARP inhibitors induces synthetic lethality of tumor cells of patients with breast or ovarian cancers2,3. Despite the benefit of this tailored therapy, drug resistance can occur by HR restoration4. Genetic reversion of BRCA1-inactivating mutations can be the underlying mechanism of drug resistance, but this does not explain resistance in all cases5. In particular, little is known about BRCA1-independent restoration of HR. Here, we show that loss of REV7 (also known as MAD2L2) re-establishes CtIP-dependent end resection of DSBs in BRCA1-deficient cells, leading to HR restoration and PARP inhibitor resistance, reversed by ATM kinase inhibition. REV7 is recruited to DSBs in a manner dependent on the H2AX-MDC1-RNF8-RNF168-53BP1 chromatin pathway, and appears to block HR and promote end joining in addition to its regulatory role in DNA damage tolerance6. Finally, we establish that REV7 blocks DSB resection to promote non-homologous end-joining (NHEJ) during immunoglobulin class switch recombination. Our results reveal an unexpected critical function of REV7 downstream of 53BP1 in coordinating pathological DSB repair pathway choices in BRCA1-deficient cells.

Invasive lobular carcinoma (ILC) is the second most frequently occurring histological breast cancer subtype after invasive ductal carcinoma (IDC), accounting for around 10% of all breast cancers. The molecular processes that drive the development of ILC are still largely unknown. We have performed a comprehensive genomic, transcriptomic and proteomic analysis of a large ILC patient cohort and present here an integrated molecular portrait of ILC. Mutations in CDH1 and in the PI3K pathway are the most frequent molecular alterations in ILC. We identified two main subtypes of ILCs: (i) an immune related subtype with mRNA up-regulation of PD-L1, PD-1 and CTLA-4 and greater sensitivity to DNA-damaging agents in representative cell line models; (ii) a hormone related subtype, associated with Epithelial to Mesenchymal Transition (EMT), and gain of chromosomes 1q and 8q and loss of chromosome 11q. Using the somatic mutation rate and eIF4B protein level, we identified three groups with different clinical outcomes, including a group with extremely good prognosis. We provide a comprehensive overview of the molecular alterations driving ILC and have explored links with therapy response. This molecular characterization may help to tailor treatment of ILC through the application of specific targeted, chemo- and/or immune-therapies.

Greater understanding of the biology of triple-negative breast cancer (TNBC) is needed to discern the roughly 60% of node-negative patients who are already cured with locoregional therapy from the 40% who need adjuvant systemic therapy to be cured. Recent evidence suggests that patients with TNBC whose tumours have an activated immune response gene signature have a more favourable outcome than TNBC patients without this signature. For the group who needs additional systemic therapy, the challenge remains to choose the right systemic drug combination for the right TNBC sub-type. Significant heterogeneity exists within the TNBC class that is exemplified by differing chemotherapeutic sensitivity observed for some sub-types. This heterogeneity establishes the need for identifying differentiating molecular markers within the overall class of TNBC disease, which may help refine therapeutic management. In this review, we discuss some of these promising predictive molecular markers for tailoring therapy. In addition, several gene expression profiling and functional studies employing genetic screens that help to establish TNBC sub-groups with varying sensitivities to a variety of targeted therapies currently under clinical investigation are conferred. It is anticipated that a greater understanding of the biology of TNBC and its complex heterogeneity will reveal novel targets or identify markers around which clinical trials in molecularly well-defined sub-groups can be designed.

Purpose: The elevated levels of somatic copy-number alterations (SCNAs) in a subset of high-risk endometrial cancers are suggestive of defects in pathways governing genome integrity. We sought to assess the prevalence of homologous recombination deficiency (HRD) in endometrial cancers and its association with histopathologic and molecular characteristics.Experimental Design: Fresh tumor tissue was prospectively collected from 36 endometrial cancers, and functional HRD was examined by the ability of replicating tumor cells to accumulate RAD51 protein at DNA double-strand breaks (RAD51 foci) induced by ionizing radiation. Genomic alterations were determined by next-generation sequencing and array comparative genomic hybridization/SNP array. The prevalence of BRCA-associated genomic scars, a surrogate marker for HRD, was determined in the The Cancer Genome Atlas (TCGA) endometrial cancer cohort.Results: Most endometrial cancers included in the final analysis (n ¼ 25) were of non-endometrioid (52%), grade 3 (60%) histology, and FIGO stage I (72%). HRD was observed in 24% (n ¼ 6) of cases and was restricted to non-endometrioid endometrial cancers (NEEC), with 46% of NEECs being HRD compared with none of the endometrioid endometrial cancers (EEC, P ¼ 0.014). All but 1 of the HRD cases harbored either a pathogenic BRCA1 variant or high somatic copy-number (SCN) losses of HR genes. Analysis of TCGA cases supported these results, with BRCA-associated genomic scars present in up to 48% (63/132) of NEEC versus 12% (37/312) of EEC (P < 0.001).Conclusions: HRD occurs in endometrial cancers and is largely restricted to non-endometrioid, TP53-mutant endometrial cancers. Evaluation of HRD may help select patients that could benefit from treatments targeting this defect, including platinum compounds and PARP inhibitors. Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis):

Triple negative (TN) breast cancers make up some 15% of all breast cancers. Approximately 10–15% are mutant for the tumor suppressor, BRCA1. BRCA1 is required for homologous recombination‐mediated DNA repair and deficiency results in genomic instability. BRCA1‐mutated tumors have a specific pattern of genomic copy number aberrations that can be used to classify tumors as BRCA1‐like or non‐BRCA1‐like. BRCA1 mutation, promoter methylation, BRCA1‐like status and genome‐wide expression data was determined for 112 TN breast cancer samples with long‐term follow‐up. Mutation status for 21 known DNA repair genes and PIK3CA was assessed. Gene expression and mutation frequency in BRCA1‐like and non‐BRCA1‐like tumors were compared. Multivariate survival analysis was performed using the Cox proportional hazards model. BRCA1 germline mutation was identified in 10% of patients and 15% of tumors were BRCA1 promoter methylated. Fifty‐five percent of tumors classified as BRCA1‐like. The functions of genes significantly up‐regulated in BRCA1‐like tumors included cell cycle and DNA recombination and repair. TP53 was found to be frequently mutated in BRCA1‐like (P < 0.05), while PIK3CA was frequently mutated in non‐BRCA1‐like tumors (P < 0.05). A significant association with worse prognosis was evident for patients with BRCA1‐like tumors (adjusted HR = 3.32, 95% CI = 1.30–8.48, P = 0.01). TN tumors can be further divided into two major subgroups, BRCA1‐like and non‐BRCA1‐like with different mutation and expression patterns and prognoses. Based on these molecular patterns, subgroups may be more sensitive to specific targeted agents such as PI3K or PARP inhibitors.

Research towards biomarkers that predict patient outcome in colorectal cancer (CRC) is rapidly expanding. However, none of these biomarkers have been recommended by the American Association of Clinical Oncology or the European Group on Tumor Markers. Current staging criteria result in substantial under-and over-treatment of CRC patients. Evasion of apoptosis, a characteristic feature of tumorigenesis, is known to correlate with patient outcome. We reviewed the literature on immunohistochemistry-based studies between 1998 and 2011 describing biomarkers in this pathway in CRC and identified 26 markers. Most frequently described were p53, Bcl-2, survivin, and the Fas and TRAILR1 receptors and their ligands. None of the studies reviewed provided sufficient support for implementing a single marker into current clinical practice. This is likely due to the complex biology of this pathway. We suggest focusing on the combination of key markers within the apoptosis pathway that together represent an ‘apoptotic tumor profile’, which better reflects the status of this pathway in a tumor.

The lack of markers to predict chemotherapy responses in patients poses a major handicap in cancer treatment. We searched for gene expression patterns that correlate with docetaxel or cisplatin response in a mouse model for breast cancer associated with BRCA1 deficiency. Array-based expression profiling did not identify a single marker gene predicting docetaxel response, despite an increase in Abcb1 (P-glycoprotein) expression that was sufficient to explain resistance in several poor responders. Intertumoral heterogeneity explained the inability to identify a predictive gene expression signature for docetaxel. To address this problem, we used a novel algorithm designed to detect differential gene expression in a subgroup of the poor responders which could identify tumors with increased Abcb1 transcript levels. In contrast, standard analytical tools, such as Significance Analysis of Microarrays (SAM), detected a marker only if it correlated with response in a substantial fraction of tumors. For example, low expression of the Xist gene correlated with cisplatin hypersensitivity in most tumors, and it also predicted long recurrence-free survival of HER2-negative, stage-III breast cancer patients treated with intensive platinum-based chemotherapy. Our findings may prove useful for selecting patients with high risk breast cancer who could benefit from platinum-based therapy.