Evidence map›Paper›PMID 40821986›Full record

ArticlePeerJ2025

Development of a relapse-related RiskScore model to predict the drug sensitivity and prognosis for patients with ovarian cancer.

Zhixin Jin, Xuegu Wang, Xiang Li, Shasha Yang, Biao Ding, Jiaojiao Fei, Xiaojing Wang, Chengli Dou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhixin Jin *Anhui Key Laboratory of Respiratory Tumors and Infectious Diseases, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Xuegu Wang *Department of Obstetrics and Gynecology (Center for Reproductive Medicine), The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Xiang LiMolecular Diagnostic Center, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Shasha YangAnhui Key Laboratory of Respiratory Tumors and Infectious Diseases, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Biao DingDepartment of Obstetrics and Gynecology (Center for Reproductive Medicine), The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Jiaojiao FeiAnhui Key Laboratory of Respiratory Tumors and Infectious Diseases, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Xiaojing WangAnhui Key Laboratory of Respiratory Tumors and Infectious Diseases, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Chengli DouMolecular Diagnostic Center, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer (OC) is a highly aggressive malignancy in the reproductive system of women, with a high recurrence rate. The present research was designed to establish a relapse-based RiskScore model to assess the drug sensitivity and prognosis for patients with OC. Methods: Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were accessed to obtain relevant sample data. The single-cell atlas of primary and relapse OC was characterized using the "Seurat" package. Differentially expressed genes (DEGs) between primary and relapse samples were identified by FindMarkers function. Subsequently, univariate Cox, least absolute shrinkage and selection operator (LASSO) and stepwise regression analysis were employed to determine independent prognostic genes related to relapse in OC to establish a RiskScore model. Applying "timeROC" package, the predictive performance of RiskScore model was assessed. Drug sensitivity of different risk groups was evaluated using "pRRophetic" package. The effects of relapse-related prognostic genes on OC cells were detected with Results: The single-cell atlas revealed that compared to primary OC, fibroblasts were reduced but epithelial cells were increased in relapse OC. Five prognostic genes ( Conclusion: This study established a relapse-related RiskScore model based on five prognostic genes (

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmNeoplasm Recurrence, LocalOvarian NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisRisk AssessmentAntineoplastic AgentsBiomarkers, TumorDrug sensitivityOvarian cancerPrognostic modelRelapseRiskScoreSingle cell atlas

Identifiers

PMID40821986
PMCPMC12352420

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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.