Evidence map›Paper›PMID 41105278›Full record

ArticleDiscover oncology2025

Identification of anoikis-related tumor microenvironment characteristics and prognostic signature in ovarian cancer at bulk and single-cell levels.

Zhenye Tang, Chenfei Zhou, Yinyin Xu, Zhizai Chen, Shuting Huang, Jing Chen, Ping Jin, Jiemei Hu, Shanyang He

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhenye Tang *School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
Chenfei Zhou *Department of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Yinyin Xu *Department of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Zhizai ChenDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Shuting HuangDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Jing ChenDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Ping JinShenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Jiemei HuDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China. hujiemei@gdph.org.cn.
Shanyang HeSchool of Medicine, South China University of Technology, Guangzhou, Guangdong, China. hsy5g777@sina.com.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2024A1515010596Guangzhou Municipal Science and Technology Project 202201010899National Health Commission Foundation of China WKZX2023CX130001National Natural Science Foundation of China 82103647National Natural Science Foundation of China 82272850The PARP Inhibitor Oncology Research Foundation (Phase IV) of Chinese Anti-Cancer Association CETSDHRCORP252-4-026
6 · The paper itself

Abstract

backgroundOvarian cancer (OC) remains among the deadliest cancers in women worldwide. Anoikis, a critical process that prevents the establishment of detached cells in non-native sites, is closely associated with cancer cell aggressiveness and poor patient outcomes. Despite its significance, research into the prognostic impact of anoikis-related genes (ARGs) in OC remains scant.

methodsSingle-cell RNA sequencing (scRNA-seq) was adopted to analyze anoikis activity. We used 41 ARGs across distinct cell types for this analysis. The genomic and clinicopathological data was sourced from GSE26712 project (training cohort) and TCGA-OV project (independent validation set), respectively. Cox regression and the least absolute shrinkage and selection operator (LASSO) technique were utilized to develop an anoikis-related risk score (ANRS) for prognosis evaluation. Additionally, the correlation between ANRS and tumor microenvironment (TME) characteristics was explored. Functional experiments were conducted to elucidate the molecular role of the key gene AP1S2 in OC.

resultsSurvival analyses in both cohorts categorized OC patients into two groups based on the median ANRS. The high-ANRS category exhibited evidently worse survival outcomes. Our findings highlighted a strong link between ARGs and TME characteristics, particularly the stromal components, at both bulk and single-cell transcriptomic levels. This underscores the complex interplay between cancer progression and the tumor-promoting stroma. Additionally, AP1S2 knockdown markedly reduced the proliferative and aggressive capabilities of OC cells.

conclusionThe ANRS-derived prognostic tool offers substantial promise for advancing our understanding of OC progression and assisting gynecologists in developing effective treatment strategies for women suffering from this malignancy.

Indexed as

AnoikisAP1S2Ovarian cancerPrognosisSingle-cell RNA sequencing

Identifiers

PMID41105278
PMCPMC12534205

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