Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale^1–3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4–5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter⁴; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation^5,6; analyses timings and patterns of tumour evolution⁷; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity^8,9; and evaluates a range of more-specialized features of cancer genomes^8,10–18.

Most women diagnosed with high-grade serous ovarian cancer (HGSC) develop recurrent disease and chemotherapy resistance, despite initially responding to treatment. The genomic characteristics of HGSC samples collected at initial surgery have been extensively studied. However, due to challenges of sample collection following treatment, much less is known about the molecular features of recurrent disease. Our recent studies have identified mechanisms of acquired resistance and biomarkers in recurrent HGSCs that could lead to improved treatment approaches.

Purpose: Germline BRCA1 or BRCA2 mutations in patients with high-grade serous ovarian cancer (HGSC) are associated with favorable responses to chemotherapy. However, secondary intragenic (reversion) mutations that restore protein function lead to clinically significant rates of acquired resistance. The goal of this study was to determine whether reversion mutations could be found in an unbiased manner in circulating cell-free DNA (cfDNA) to predict treatment response in HGSC. Patients and Methods: Plasma and tumor samples were obtained from 30 patients with HGSC with either BRCA1 or BRCA2 germline mutation. Two cohorts were ascertained: patients with a malignancy before undergoing primary HGSC debulking surgery (n = 14) or patients at disease recurrence (n = 16). Paired tumor and plasma samples were available for most patients (24 of 30). Targeted amplicon, next-generation sequencing was performed using primers that flanked germline mutations, whose design did not rely on prior knowledge of reversion sequences. Results: Five patients were identified with intragenic mutations predicted to restore BRCA1/2 open reading frames, including two patients with multiple independent reversion alleles. Reversion mutations were only detected in tumor samples from patients with recurrent disease (five of 16) and only in cfDNA from patients with a tumor-detected reversion (three of five). Findings from a rapid autopsy of a patient with multiple independent reversions indicated that reversion-allele frequency in metastatic sites is an important determinant of assay sensitivity. Abundance of tumor-derived DNA in total cell-free DNA, as measured by TP53 mutant allele frequency, also affected assay sensitivity. All patients with reversions detected in tumor-derived DNA were resistant to platin- or poly ADP ribose polymerase inhibitor-based chemotherapy. Conclusion: Reversion mutations can be detected in an unbiased analysis of cfDNA, suggesting clinical utility for predicting chemotherapy response in recurrent HGSC.

ABCB1 encodes Multidrug Resistance protein (MDR1), an ATP-binding cassette member involved in the cellular efflux of chemotherapeutic drugs. Here we report that ovarian and breast samples from chemotherapy treated patients are positive for multiple transcriptional fusions involving ABCB1, placing it under the control of a strong promoter while leaving its open reading frame intact. We identified 15 different transcriptional fusion partners involving ABCB1, as well as patients with multiple distinct fusion events. The partner gene selected depended on its structure, promoter strength, and chromosomal proximity to ABCB1. Fusion positivity was strongly associated with the number of lines of MDR1-substrate chemotherapy given. MDR1 inhibition in a fusion positive ovarian cancer cell line increased sensitivity to paclitaxel more than 50-fold. Convergent evolution of ABCB1 fusion is therefore frequent in chemotherapy resistant recurrent ovarian cancer. As most currently approved PARP inhibitors (PARPi) are MDR1 substrates, prior chemotherapy may precondition resistance to PARPi.