TY - JOUR
T1 - Pan-cancer whole-genome comparison of primary and metastatic solid tumours
AU - Martínez-Jiménez, Francisco
AU - Movasati, Ali
AU - Brunner, Sascha Remy
AU - Nguyen, Luan
AU - Priestley, Peter
AU - Cuppen, Edwin
AU - Van Hoeck, Arne
N1 - Funding Information:
This publication and the underlying study have been made possible partly on the basis of the data that Hartwig Medical Foundation and the Center of Personalized Cancer Treatment (CPCT) have made available to the study. We thank R. Janssen for the technical assistance in the collection and processing of the PCAWG raw sequencing data using the Hartwig tumour analytical pipeline; USEQ from UMC Utrecht for providing high-performance computing power; J. Mateo for his valuable scientific input; L. Stein and L. Xiang for their assistance in the publication of the reprocessed ICGC part of the PCAWG dataset; R. Grossman, C. Meyer and T. Simmons for their assistance in the publication of the reprocessed TCGA part of the PCAWG; D. Quigley for providing the somatic mutation calls and age at biopsy of the patients with prostate cancer from their study; S. Turajlic and H. Pallikonda for their responsiveness concerning the TRACERx renal dataset; and P. Wolfe and other staff of the Hartwig Medical Foundation team for aligning the processing of PCAWG and Hartwig datasets.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/6/8
Y1 - 2023/6/8
N2 - Metastatic cancer remains an almost inevitably lethal disease
1-3. A better understanding of disease progression and response to therapies therefore remains of utmost importance. Here we characterize the genomic differences between early-stage untreated primary tumours and late-stage treated metastatic tumours using a harmonized pan-cancer analysis (or reanalysis) of two unpaired primary
4 and metastatic
5 cohorts of 7,108 whole-genome-sequenced tumours. Metastatic tumours in general have a lower intratumour heterogeneity and a conserved karyotype, displaying only a modest increase in mutations, although frequencies of structural variants are elevated overall. Furthermore, highly variable tumour-specific contributions of mutational footprints of endogenous (for example, SBS1 and APOBEC) and exogenous mutational processes (for example, platinum treatment) are present. The majority of cancer types had either moderate genomic differences (for example, lung adenocarcinoma) or highly consistent genomic portraits (for example, ovarian serous carcinoma) when comparing early-stage and late-stage disease. Breast, prostate, thyroid and kidney renal clear cell carcinomas and pancreatic neuroendocrine tumours are clear exceptions to the rule, displaying an extensive transformation of their genomic landscape in advanced stages. Exposure to treatment further scars the tumour genome and introduces an evolutionary bottleneck that selects for known therapy-resistant drivers in approximately half of treated patients. Our data showcase the potential of pan-cancer whole-genome analysis to identify distinctive features of late-stage tumours and provide a valuable resource to further investigate the biological basis of cancer and resistance to therapies.
AB - Metastatic cancer remains an almost inevitably lethal disease
1-3. A better understanding of disease progression and response to therapies therefore remains of utmost importance. Here we characterize the genomic differences between early-stage untreated primary tumours and late-stage treated metastatic tumours using a harmonized pan-cancer analysis (or reanalysis) of two unpaired primary
4 and metastatic
5 cohorts of 7,108 whole-genome-sequenced tumours. Metastatic tumours in general have a lower intratumour heterogeneity and a conserved karyotype, displaying only a modest increase in mutations, although frequencies of structural variants are elevated overall. Furthermore, highly variable tumour-specific contributions of mutational footprints of endogenous (for example, SBS1 and APOBEC) and exogenous mutational processes (for example, platinum treatment) are present. The majority of cancer types had either moderate genomic differences (for example, lung adenocarcinoma) or highly consistent genomic portraits (for example, ovarian serous carcinoma) when comparing early-stage and late-stage disease. Breast, prostate, thyroid and kidney renal clear cell carcinomas and pancreatic neuroendocrine tumours are clear exceptions to the rule, displaying an extensive transformation of their genomic landscape in advanced stages. Exposure to treatment further scars the tumour genome and introduces an evolutionary bottleneck that selects for known therapy-resistant drivers in approximately half of treated patients. Our data showcase the potential of pan-cancer whole-genome analysis to identify distinctive features of late-stage tumours and provide a valuable resource to further investigate the biological basis of cancer and resistance to therapies.
KW - APOBEC Deaminases/metabolism
KW - Cohort Studies
KW - Disease Progression
KW - Female
KW - Genome, Human/genetics
KW - Genomics
KW - Humans
KW - Karyotyping
KW - Male
KW - Mutation
KW - Neoplasm Metastasis/genetics
KW - Neoplasms/genetics
UR - https://www.scopus.com/pages/publications/85158844038
U2 - 10.1038/s41586-023-06054-z
DO - 10.1038/s41586-023-06054-z
M3 - Article
C2 - 37165194
SN - 0028-0836
VL - 618
SP - 333
EP - 341
JO - Nature
JF - Nature
IS - 7964
ER -