Evidence map›Paper›PMID 40605104›Full record

ArticleJournal of ovarian research2025

Identification of parthanatos-related molecular subtypes and development of prognostic risk models in ovarian cancer based on multi-omics analysis.

Xiaoying Qi, Changqing Jiang, Ning Wang, Yi Han, Tingting Liu, Liying Huang, Guangjie Yin

Abstract read
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Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoying QiDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Changqing JiangDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Ning WangDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Yi HanDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Tingting LiuDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Liying HuangDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China.
Guangjie YinDepartment of Gynaecology and Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, 266101, China. yingj0532@163.com.

Funding

Medical and Health Research Project of Qingdao City 2024-WJKY175
6 · The paper itself

Abstract

Ovarian cancer (OC) remains the most lethal gynecologic malignancy due to late-stage diagnosis, high recurrence rates, and chemoresistance. Parthanatos, a distinct caspase-independent form of programmed cell death mediated by poly (ADP-ribose) (PAR), plays a critical role in DNA damage response and tumor progression. In this study, we identified parthanatos-related genes (PRG) associated with OC prognosis based on integrated analyses of TCGA and GEO datasets, and developed a PRG-based risk model with significant prognostic value. Immune infiltration analysis and single-cell RNA sequencing revealed that high-risk patients exhibited a more immunosuppressive tumor microenvironment. Drug sensitivity profiling and clinical subgroup analyses further supported the model's clinical applicability. Among the screened PRG, TGFBI was selected for experimental validation, and in vitro assays including qRT-PCR, western blotting, colony formation, and Transwell migration demonstrated its role in promoting OC cell proliferation, invasion, and clonogenicity. These findings underscore the prognostic and biological significance of parthanatos in OC and suggest that targeting key PRG such as TGFBI may offer novel therapeutic strategies to improve patient outcomes.

Indexed as

Ovarian NeoplasmsBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisTumor MicroenvironmentBiomarkers, TumorImmune infiltrationOvarian cancerParthanatosSingle-cell RNA sequencingTGFBI

Identifiers

PMID40605104
PMCPMC12217911

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.