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The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer

Immunotherapy has played a significant role in the treatment of a variety of hematological and solid tumors, but its application in ovarian cancer (OC) remains unclear. This study aimed to identify immune subtypes of OC and delineate an immune landscape for selecting suitable patients for immunother...

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Autores principales: Zhang, Minjie, Shi, Mengna, Yu, Yang, Sang, Jianmin, Wang, Hong, Shi, Jianhong, Duan, Ping, Ge, Renshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501495/
https://www.ncbi.nlm.nih.gov/pubmed/36146529
http://dx.doi.org/10.3390/vaccines10091451
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author Zhang, Minjie
Shi, Mengna
Yu, Yang
Sang, Jianmin
Wang, Hong
Shi, Jianhong
Duan, Ping
Ge, Renshan
author_facet Zhang, Minjie
Shi, Mengna
Yu, Yang
Sang, Jianmin
Wang, Hong
Shi, Jianhong
Duan, Ping
Ge, Renshan
author_sort Zhang, Minjie
collection PubMed
description Immunotherapy has played a significant role in the treatment of a variety of hematological and solid tumors, but its application in ovarian cancer (OC) remains unclear. This study aimed to identify immune subtypes of OC and delineate an immune landscape for selecting suitable patients for immunotherapy, thereby providing potent therapeutic targets for immunotherapy drug development. Three immune subtypes (IS1–IS3) with distinctive molecular, cellular, and clinical characteristics were identified from the TCGA and GSE32062 cohorts. Compared to IS1, IS3 has a better prognosis and exhibits an immunological “hot”. IS3, in contrast, exhibits an immunological “cold” and has a worse prognosis in OC patients. Moreover, gene mutations, immune modulators, CA125, CA199, and HE4 expression, along with sensitivity either to immunotherapy or chemotherapy, were significantly different among the three immune subtypes. The OC immune landscape was highly heterogeneous between individual patients. Poor prognosis was correlated with low expression of the hub genes CD2, CD3D, and CD3E, which could act not only as biomarkers for predicting prognosis, but also as potential immunotherapy targets. Our study elucidates the immunotyping and molecular characteristics of the immune microenvironment in OC, which could provide an effective immunotherapy stratification method for optimally selecting patients, and also has clinical significance for the development of new immunotherapy as well as rational combination strategies for the treatment of OC patients.
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spelling pubmed-95014952022-09-24 The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer Zhang, Minjie Shi, Mengna Yu, Yang Sang, Jianmin Wang, Hong Shi, Jianhong Duan, Ping Ge, Renshan Vaccines (Basel) Article Immunotherapy has played a significant role in the treatment of a variety of hematological and solid tumors, but its application in ovarian cancer (OC) remains unclear. This study aimed to identify immune subtypes of OC and delineate an immune landscape for selecting suitable patients for immunotherapy, thereby providing potent therapeutic targets for immunotherapy drug development. Three immune subtypes (IS1–IS3) with distinctive molecular, cellular, and clinical characteristics were identified from the TCGA and GSE32062 cohorts. Compared to IS1, IS3 has a better prognosis and exhibits an immunological “hot”. IS3, in contrast, exhibits an immunological “cold” and has a worse prognosis in OC patients. Moreover, gene mutations, immune modulators, CA125, CA199, and HE4 expression, along with sensitivity either to immunotherapy or chemotherapy, were significantly different among the three immune subtypes. The OC immune landscape was highly heterogeneous between individual patients. Poor prognosis was correlated with low expression of the hub genes CD2, CD3D, and CD3E, which could act not only as biomarkers for predicting prognosis, but also as potential immunotherapy targets. Our study elucidates the immunotyping and molecular characteristics of the immune microenvironment in OC, which could provide an effective immunotherapy stratification method for optimally selecting patients, and also has clinical significance for the development of new immunotherapy as well as rational combination strategies for the treatment of OC patients. MDPI 2022-09-02 /pmc/articles/PMC9501495/ /pubmed/36146529 http://dx.doi.org/10.3390/vaccines10091451 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Minjie
Shi, Mengna
Yu, Yang
Sang, Jianmin
Wang, Hong
Shi, Jianhong
Duan, Ping
Ge, Renshan
The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title_full The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title_fullStr The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title_full_unstemmed The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title_short The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer
title_sort immune subtypes and landscape of advanced-stage ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501495/
https://www.ncbi.nlm.nih.gov/pubmed/36146529
http://dx.doi.org/10.3390/vaccines10091451
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