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Profiling ovarian cancer tumor and microenvironment during disease progression for cell-based immunotherapy design.

Authors :
Li YR
Ochoa CJ
Zhu Y
Kramer A
Wilson M
Fang Y
Chen Y
Singh T
Di Bernardo G
Zhu E
Lee D
Moatamed NA
Bando J
Zhou JJ
Memarzadeh S
Yang L
Source :
IScience [iScience] 2023 Sep 19; Vol. 26 (10), pp. 107952. Date of Electronic Publication: 2023 Sep 19 (Print Publication: 2023).
Publication Year :
2023

Abstract

Ovarian cancer (OC) is highly lethal due to late detection and frequent recurrence. Initial treatments, comprising surgery and chemotherapy, lead to disease remission but are invariably associated with subsequent relapse. The identification of novel therapies and an improved understanding of the molecular and cellular characteristics of OC are urgently needed. Here, we conducted a comprehensive analysis of primary tumor cells and their microenvironment from 16 chemonaive and 10 recurrent OC patient samples. Profiling OC tumor biomarkers allowed for the identification of potential molecular targets for developing immunotherapies, while profiling the microenvironment yielded insights into its cellular composition and property changes between chemonaive and recurrent samples. Notably, we identified CD1d as a biomarker of the OC microenvironment and demonstrated its targeting by invariant natural killer T (iNKT) cells. Overall, our study presents a comprehensive immuno-profiling of OC tumor and microenvironment during disease progression, guiding the development of immunotherapies for OC treatment, especially for recurrent disease.<br />Competing Interests: Y.-R.L., D.L., and L.Y. are inventors on patents relating to this manuscript. L.Y. is a scientific advisor to AlzChem and Amberstone Biosciences and a co-founder, stockholder, and advisory board member of Appia Bio. None of the declared companies contributed to or directed any of the writing of this manuscript.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2589-0042
Volume :
26
Issue :
10
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
37810241
Full Text :
https://doi.org/10.1016/j.isci.2023.107952