Sex-Dependent Prognosis of Patients with Advanced Soft Tissue Sarcoma.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
13 Oct 2023
Historique:
accepted: 11 10 2023
received: 03 07 2023
revised: 25 08 2023
medline: 13 10 2023
pubmed: 13 10 2023
entrez: 13 10 2023
Statut: aheadofprint

Résumé

To examine whether overall survival (OS) differs for male and female patients with advanced soft tissue sarcoma (STS). The study included patients from Kaiser Permanente Northern California and Stanford Cancer Center with grade 2 and 3 locally advanced or metastatic STS whose tumor underwent next-generation sequencing. We used Cox regression modeling to examine association of sex and OS adjusting for other important factors. Among 388 eligible patients, 174 had leiomyosarcoma (LMS), 136 had undifferentiated pleomorphic sarcoma (UPS), and 78 had LPS (Liposarcoma). OS for male versus female patients appeared to be slightly better among the full cohort (HR =0.89, [95% CI 0.66-1.20]); this association appeared to be stronger among the subsets of patients with LMS (HR = 0.76, [95% CI 0.39-1.49]) or LPS (HR = 0.74, [95% CI 0.32-1.70]). Better OS for male versus female patients was also observed among all molecular subgroups except mutRB1 and mutATRX, especially among patients whose tumor retained wtTP53 (HR = 0.73, [95% CI 0.44-1.18]), wtCDKN2A (HR = 0.85, [95% CI 0.59-1.23]), wtRB1 (HR = 0.73, [95% CI .51-1.04]) and among patients whose tumor had mutPTEN (HR = 0.37, [95% CI 0.09-1.62]). OS also appeared to be better for males in the MSK-IMPACT and TCGA datasets. A fairly consistent pattern of apparent better OS for males across histologic and molecular subgroups of STS was observed. If confirmed, our results could have implications for clinical practice for prognostic stratification and possibly treatment tailoring as well as for future clinical trials design.

Identifiants

pubmed: 37831066
pii: 729586
doi: 10.1158/1078-0432.CCR-23-1990
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Minggui Pan (M)

Stanford University School of Medicine, Palo Alto, California, United States.

Maggie Yuxi Zhou (MY)

Stanford University School of Medicine, Palo Alto, California, United States.

Chen Jiang (C)

Kaiser Permanente Division of Research, United States.

Zheyang Zhang (Z)

State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences; National Institute for Data Science in Health and Medicine, Xiamen University., Xiamen, China.

Nam Q Bui (NQ)

Stanford University School of Medicine, Palo Alto, California, United States.

Jeffrey Bien (J)

Stanford University School of Medicine, Palo Alto, CA, United States.

Amanda Siy (A)

Stanford University School of Medicine, Palo Alto, California, United States.

Ninah Achacoso (N)

Kaiser Permanente Northern California, Oakland, CA, United States.

Aleyda V Solorzano (AV)

Kaiser Permanente Division of Research, United States.

Pamela Tse (P)

Kaiser Permanente Division of Research, United States.

Elaine Chung (E)

Kaiser Permanente Division of Research, United States.

Sachdev Thomas (S)

Kaiser Permanente - Northern California, United States.

Laurel A Habel (LA)

Kaiser Permanente Northern California, Oakland, CA, United States.

Kristen N Ganjoo (KN)

Stanford University, Stanford, CA, United States.

Classifications MeSH