Literature DB >> 35490034

Molecular profiles of endometrial cancer tumors among Black patients.

Annelise M Wilhite1, Yasmine Baca2, Joanne Xiu2, Rajesh Paladugu3, Adam C ElNaggar4, Jubilee Brown5, Ira S Winer6, Robert Morris6, Britt K Erickson7, Alexander B Olawaiye8, Matthew Powell9, W Michael Korn2, Rodney P Rocconi9, Dineo Khabele10, Nathaniel L Jones3.   

Abstract

OBJECTIVES: Disparate outcomes exist between Black and White patients with endometrial cancer (EC). One contributing factor is the disproportionately low representation of Black patients in clinical trials and in tumor molecular profiling studies. Our objective was to investigate molecular profiles of ECs in a cohort with a high proportion of tumors from Black patients.
METHODS: A total of 248 EC samples and self-reported race data were collected from 6 institutions. Comprehensive tumor profiling and analyses were performed by Caris Life Sciences.
RESULTS: Tumors from 105 (42%) Black and 143 (58%) White patients were included. Serous histology (58% vs 36%) and carcinosarcoma (25% vs 16%), was more common among Black patients, and endometrioid was less common (17% vs 48%) (p < 0.01). Differences in gene mutations between cohorts corresponded to observed histologic differences between races. Specifically, TP53 mutations were predominant in serous tumors. In endometrioid tumors, mutations in ARID1A were the most common, and high rates of MSI-H, MMRd, and TMB-H were observed. In carcinosarcoma tumors, hormone receptor expression was high in tumors of Black patients (PR 23.4%, ER 30.8%). When stratified by histology, there were no significant differences between tumors from Black and White women.
CONCLUSIONS: This cohort had a high proportion of tumors from Black women. Distinct molecular profiles were driven primarily by more aggressive histologic subtypes among Black women. Continued effort is needed to include Black women and other populations under-represented in EC molecular profiling studies as targeted therapies and personalized medicine become mainstream.
Copyright © 2022. Published by Elsevier Inc.

Entities:  

Keywords:  Disparities; Endometrial cancer; Molecular profiling

Mesh:

Year:  2022        PMID: 35490034     DOI: 10.1016/j.ygyno.2022.04.014

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.304


  1 in total

1.  Comprehensive Expression Profiling and Molecular Basis of CDC28 Protein Kinase Regulatory Subunit 2 in Cervical Cancer.

Authors:  Li Qin; Xiaoqiong Luo; Xiao Qin; Hongbao Huang; Lianling Zhang; Shengcai Chen; Xiaoqin Wu; Bingsheng Huang; Jian Pan; Jingxi Wei
Journal:  Int J Genomics       Date:  2022-07-28       Impact factor: 2.758

  1 in total

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