Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

Cell. 2022 Feb 3;185(3):563-575.e11. doi: 10.1016/j.cell.2022.01.003.

Abstract

Metastatic progression is the main cause of death in cancer patients, whereas the underlying genomic mechanisms driving metastasis remain largely unknown. Here, we assembled MSK-MET, a pan-cancer cohort of over 25,000 patients with metastatic diseases. By analyzing genomic and clinical data from this cohort, we identified associations between genomic alterations and patterns of metastatic dissemination across 50 tumor types. We found that chromosomal instability is strongly correlated with metastatic burden in some tumor types, including prostate adenocarcinoma, lung adenocarcinoma, and HR+/HER2+ breast ductal carcinoma, but not in others, including colorectal cancer and high-grade serous ovarian cancer, where copy-number alteration patterns may be established early in tumor development. We also identified somatic alterations associated with metastatic burden and specific target organs. Our data offer a valuable resource for the investigation of the biological basis for metastatic spread and highlight the complex role of chromosomal instability in cancer progression.

Keywords: DNA sequencing; cancer; clinical sequencing; genomics; metastasis; molecular profiling; mutations; next-generation sequencing; organotropism; pan-cancer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cohort Studies
  • Female
  • Genomics*
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Male
  • Neoplasm Metastasis / genetics*
  • Neoplasm Metastasis / pathology*
  • Organ Specificity / genetics
  • Prospective Studies