Decoding evolutionary trajectories of ovarian cancer metastasis

Aasa Shimizu; Ernst Lengyel

doi:10.1016/j.ccell.2023.05.011

Decoding evolutionary trajectories of ovarian cancer metastasis

Cancer Cell. 2023 Jun 12;41(6):1008-1010. doi: 10.1016/j.ccell.2023.05.011.

Authors

Aasa Shimizu¹, Ernst Lengyel²

Affiliations

¹ Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, IL, USA.
² Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, IL, USA. Electronic address: elengyel@uchicago.edu.

PMID: 37311411
DOI: 10.1016/j.ccell.2023.05.011

Abstract

The genetic changes during high-grade serous ovarian cancer metastasis have largely remained a mystery. Lahtinen et al. show that ovarian cancer metastasizes along three different evolutionary states that have distinct mutations and signaling pathways, potentially allowing the identification of targeted treatments.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Female
Humans
Mutation
Ovarian Neoplasms* / genetics

Grants and funding

R35 CA264619/CA/NCI NIH HHS/United States