Metastatic cancer is a major cause of death and is associated with poor treatment efficacy. A better understanding of the characteristics of late-stage cancer is required to help adapt personalized treatments, reduce overtreatment and improve outcomes. Here we describe the largest, to our knowledge, pan-cancer study of metastatic solid tumour genomes, including whole-genome sequencing data for 2,520 pairs of tumour and normal tissue, analysed at median depths of 106× and 38×, respectively, and surveying more than 70 million somatic variants. The characteristic mutations of metastatic lesions varied widely, with mutations that reflect those of the primary tumour types, and with high rates of whole-genome duplication events (56%). Individual metastatic lesions were relatively homogeneous, with the vast majority (96%) of driver mutations being clonal and up to 80% of tumour-suppressor genes being inactivated bi-allelically by different mutational mechanisms. Although metastatic tumour genomes showed similar mutational landscape and driver genes to primary tumours, we find characteristics that could contribute to responsiveness to therapy or resistance in individual patients. We implement an approach for the review of clinically relevant associations and their potential for actionability. For 62% of patients, we identify genetic variants that may be used to stratify patients towards therapies that either have been approved or are in clinical trials. This demonstrates the importance of comprehensive genomic tumour profiling for precision medicine in cancer.In recent years, several large-scale whole-genome sequencing (WGS) analysis efforts have yielded valuable insights into the diversity of the molecular processes that drive different types of adult 1,2 and paediatric 3,4 cancer and have fuelled the promises of genome-driven oncology care 5 . However, most analyses were done on primary tumour material, whereas metastatic cancers-which cause the bulk of the disease burden and 90% of all cancer deaths-have been less comprehensively studied at the whole-genome level, with previous efforts focusing on tumourspecific cohorts 6-8 or at a targeted gene panel 9 or exome level 10 . As cancer genomes evolve over time, both in the highly heterogeneous primary tumour mass and as disseminated metastatic cells 11,12 , a better understanding of metastatic cancer genomes will be highly valuable to improve on adapting treatments for late-stage cancers.Here we describe the pan-cancer whole-genome landscape of metastatic cancers based on 2,520 paired tumour (106× average depth) and normal (blood, 38×) genomes from 2,399 patients ( Supplementary Tables 1 and 2, Extended Data Fig. 1). The sample distribution over age and primary tumour types broadly reflects the incidence of solid cancers in the Western world, including rare cancers (Fig. 1a). Sequencing data were analysed using an optimized bioinformatic pipeline based on open source tools (Methods, Supplementary Information) and identified a total of 59,472,629 single nucleotide varian...

There is a clear and unmet clinical need for biomarkers to predict responsiveness to chemotherapy for cancer. We developed an in vitro test based on patient-derived tumor organoids (PDOs) from metastatic lesions to identify nonresponders to standard-of-care chemotherapy in colorectal cancer (CRC). In a prospective clinical study, we show the feasibility of generating and testing PDOs for evaluation of sensitivity to chemotherapy. Our PDO test predicted response of the biopsied lesion in more than 80% of patients treated with irinotecan-based therapies without misclassifying patients who would have benefited from treatment. This correlation was specific to irinotecan-based chemotherapy, however, and the PDOs failed to predict outcome for treatment with 5-fluorouracil plus oxaliplatin. Our data suggest that PDOs could be used to prevent cancer patients from undergoing ineffective irinotecan-based chemotherapy.

Whole genome sequencing (WGS) of prospectively collected tissue biopsies of 442 metastatic breast cancer (mBC) patients reveals that, compared to primary BC, tumour mutational burden (TMB) doubled, relative contributions of mutational signatures shifted, and mutation frequency of six known driver genes increased in mBC. Significant associations with pre-treatment were observed as well. The contribution of mutational signature 17 was significantly enriched in patients pre-treated with 5-FU, taxanes, platinum and/or eribulin, whereas the here identified de novo mutational signature I was significantly associated with pre-treatment containing platinum-based chemotherapy. Clinically relevant subgroups of tumours were identified exhibiting either homologous recombination deficiency (13%), high TMB (11%) or specific alterations (24%) linked to sensitivity to FDA-approved drugs. This study provides important novel insight into the biology of mBC and identifies clinically useful genomic features for future improvement of patient management.

BackgroundExercise started shortly after breast cancer diagnosis might prevent or diminish fatigue complaints. The Physical Activity during Cancer Treatment (PACT) study was designed to primarily examine the effects of an 18-week exercise intervention, offered in the daily clinical practice setting and starting within 6 weeks after diagnosis, on preventing an increase in fatigue.MethodsThis multi-centre controlled trial randomly assigned 204 breast cancer patients to usual care (n = 102) or supervised aerobic and resistance exercise (n = 102). By design, all patients received chemotherapy between baseline and 18 weeks. Fatigue (i.e., primary outcome at 18 weeks), quality of life, anxiety, depression, and physical fitness were measured at 18 and 36 weeks.ResultsIntention-to-treat mixed linear model analyses showed that physical fatigue increased significantly less during cancer treatment in the intervention group compared to control (mean between-group differences at 18 weeks: −1.3; 95 % CI −2.5 to −0.1; effect size −0.30). Results for general fatigue were comparable but did not reach statistical significance (-1.0, 95%CI -2.1; 0.1; effect size -0.23). At 18 weeks, submaximal cardiorespiratory fitness and several muscle strength tests (leg extension and flexion) were significantly higher in the intervention group compared to control, whereas peak oxygen uptake did not differ between groups. At 36 weeks these differences were no longer statistically significant. Quality of life outcomes favoured the exercise group but were not significantly different between groups.ConclusionsA supervised 18-week exercise programme offered early in routine care during adjuvant breast cancer treatment showed positive effects on physical fatigue, submaximal cardiorespiratory fitness, and muscle strength. Exercise early during treatment of breast cancer can be recommended. At 36 weeks, these effects were no longer statistically significant. This might have been caused by the control participants’ high physical activity levels during follow-up.Trial registrationCurrent Controlled Trials ISRCTN43801571, Dutch Trial Register NTR2138. Trial registered on December 9th, 2009.Electronic supplementary materialThe online version of this article (doi:10.1186/s12916-015-0362-z) contains supplementary material, which is available to authorized users.