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pmid:36146529

The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer.

Minjie Zhang · Mengna Shi · Yang Yu · Jianmin Sang · Hong Wang · Jianhong Shi · Ping Duan · Renshan Ge

Vaccines · 2022 doi:10.3390/vaccines10091451

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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pmid:36146529
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title
The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer.
doi
10.3390/vaccines10091451
pmid
36146529
authors array · 8 items
[0]
Minjie Zhang
[1]
Mengna Shi
[2]
Yang Yu
[3]
Jianmin Sang
[4]
Hong Wang
[5]
Jianhong Shi
[6]
Ping Duan
[7]
Renshan Ge
journal
Vaccines
year
2022
abstract
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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Immune-activation as a therapeutic direction for patients with high-risk ovarian cancer based on gene expression signature (1)
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capability:computational_analysis
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basis
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data object · 6 fields
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Both mRNA data and clinical information can be obtained from the TCGA and GEO database. The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to corresponding author.
basis
The paper names GSE32062, GSE91061 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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PMID 36146529 full text
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36146529", "kind": "science-record", "revision": 4, "content_hash": "sha256:bb37dfa0225e1efbde3dd8ea6bf071724059bf0ce0d1ba5c66b47cb051fca41d", "created_at": "2026-11-01T18:15:25Z", "updated_at": "2026-11-01T22:07:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "The Immune Subtypes and Landscape of Advanced-Stage Ovarian Cancer.", "doi": "10.3390/vaccines10091451", "pmid": "36146529", "authors": ["Minjie Zhang", "Mengna Shi", "Yang Yu", "Jianmin Sang", "Hong Wang", "Jianhong Shi", "Ping Duan", "Renshan Ge"], "journal": "Vaccines", "year": 2022, "abstract": "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.", "claims": [{"id": "claim-data-access", "statement": "Both mRNA data and clinical information can be obtained from the TCGA and GEO database. 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