Skip to main navigation Skip to search Skip to main content

Genomic Landscapes of Endometrioid and Mucinous Ovarian Cancers and Morphologically Similar Tumor Types

  • Dorothy Hallberg
  • , Alice C. Eastman
  • , Shashikant Koul
  • , Daniel C. Bruhm
  • , Eniko Papp
  • , Simon Davenport
  • , Vilmos Adleff
  • , Leonardo Ferreira
  • , Noushin Niknafs
  • , Jamie E. Medina
  • , Stephen Cristiano
  • , Carolyn Hruban
  • , Jacob Fiksel
  • , Kaui P. Lebarbenchon
  • , Luis Aparicio
  • , Nicholas A. Vulpescu
  • , Kuan Ting Kuo
  • , Nita Ahuja
  • , Ronny Drapkin
  • , Euihye Jung
  • Sarah H. Kim, Mark A. Eckert, Ernst Lengyel, Kentaro Nakayama, Ayse Ayhan, Ie Ming Shih, Tian Li Wang, Ofer Lavie, Gad Rennert, Hariharan Easwaran, Stephen B. Baylin, Michael F. Press, Victor E. Velculescu*, Robert B. Scharpf
*Corresponding author for this work
  • Johns Hopkins University
  • University of Southern California
  • National Taiwan University
  • Yale University
  • University of Pennsylvania
  • The University of Chicago
  • Nagoya City University
  • Seirei Mikatahara General Hospital
  • Hamamatsu University School of Medicine
  • Hiroshima University
  • Carmel Medical Center
  • Technion-Israel Institute of Technology

Research output: Contribution to journalJournal Article peer-review

Abstract

Endometrioid and mucinous ovarian carcinomas represent nearly a fifth of ovarian cancers, but their molecular characteristics and pathologic origins are poorly understood. To identify the genomic and epigenomic alterations characteristic of these ovarian cancer subtypes and evaluate links to morphologically similar tumors from other sites, we performed a combination of sequence, copy number, mutation signature, and rearrangement analyses from tumor samples and matched normal tissues of 133 patients, as well as methylation analyses of these tumors and tissues of 150 patients from The Cancer Genome Atlas. Genomic analyses included samples from patients with ovarian endometrioid (n = 44), ovarian mucinous (n = 43), uterine endometrioid (n = 15), and gastrointestinal mucinous carcinomas (n = 31), including mucinous carcinomas of the stomach, colon, and pancreas. In addition to identifying genes previously known to be involved in these tumors, we identified alterations in RAD51C, NOTCH4, SMARCA1/4, and JAK1 in ovarian endometrioid, ESR1 in uterine endometrioid, and SMARCA4 in ovarian mucinous carcinomas. Whole-genome sequencing revealed rearrangements involving PTEN, NF1, and NF2 in ovarian endometrioid carcinomas and NF1 and MED1 in ovarian mucinous carcinomas. The number of alterations, affected genes, and genome-wide methylation profiles were not distinguishable between ovarian and uterine endometrioid carcinomas, supporting the hypothesis that these tumors share a tissue of origin. In contrast, mutation and methylation patterns in ovarian mucinous carcinomas were different from gastrointestinal mucinous carcinomas. These analyses provide insights into the genomic landscapes and origins of mucinous and endometrioid ovarian carcinomas, providing new avenues for early clinical intervention and management of patients with these cancers. Significance: Integrative multi-omic analyses support a common tissue of origin between ovarian endometrioid and uterine endometrioid carcinomas but not between ovarian mucinous and gastric or pancreatic mucinous carcinomas.

Original languageEnglish
Pages (from-to)1952-1966
Number of pages15
JournalCancer research communications
Volume5
Issue number11
DOIs
StatePublished - 01 2025

Bibliographical note

Publisher Copyright:
© (2025), (American Association for Cancer Research Inc.). All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Adenocarcinoma, Mucinous/genetics
  • Aged
  • Carcinoma, Endometrioid/genetics
  • DNA Methylation
  • Female
  • Genomics/methods
  • Humans
  • Middle Aged
  • Mutation
  • Ovarian Neoplasms/genetics

Fingerprint

Dive into the research topics of 'Genomic Landscapes of Endometrioid and Mucinous Ovarian Cancers and Morphologically Similar Tumor Types'. Together they form a unique fingerprint.

Cite this