Whole genome sequencing of metastatic colorectal cancer reveals prior treatment effects and specific metastasis features
Open Access
- 25 January 2021
- journal article
- research article
- Published by Springer Nature in Nature Communications
- Vol. 12 (1) , 1-11
Abstract
In contrast to primary colorectal cancer (CRC) little is known about the genomic landscape of metastasized CRC. Here we present whole genome sequencing data of metastases of 429 CRC patients participating in the pan-cancer CPCT-02 study (NCT01855477). Unsupervised clustering using mutational signature patterns highlights three major patient groups characterized by signatures known from primary CRC, signatures associated with received prior treatments, and metastasis-specific signatures. Compared to primary CRC, we identify additional putative (non-coding) driver genes and increased frequencies in driver gene mutations. In addition, we identify specific genes preferentially affected by microsatellite instability. CRC-specific 1kb-10Mb deletions, enriched for common fragile sites, and LINC00672 mutations are associated with response to treatment in general, whereas FBXW7 mutations predict poor response specifically to EGFR-targeted treatment. In conclusion, the genomic landscape of mCRC shows defined changes compared to primary CRC, is affected by prior treatments and contains features with potential clinical relevance.Keywords
This publication has 50 references indexed in Scilit:
- Genomic landscape of metastatic colorectal cancerNature Communications, 2014
- Translesion Polymerase η Is Upregulated by Cancer Therapeutics and Confers Anticancer Drug ResistanceCancer Research, 2014
- A fast and unbiased procedure to randomize ecological binary matrices with fixed row and column totalsNature Communications, 2014
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic featuresBioinformatics, 2013
- Deciphering Signatures of Mutational Processes Operative in Human CancerCell Reports, 2013
- STAR: ultrafast universal RNA-seq alignerBioinformatics, 2012
- Comprehensive molecular characterization of human colon and rectal cancerNature, 2012
- GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancersGenome Biology, 2011
- A coding-independent function of gene and pseudogene mRNAs regulates tumour biologyNature, 2010
- New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)European Journal of Cancer, 2009