Evidence map›Paper›PMID 39262489›Full record

ArticleTranslational cancer research2024

Identification of genes predicting chemoresistance and short survival in ovarian cancer.

Cong Wang, Cuilan Chen, Xiaoying Chen, Jie Luo, Yuting Su, Xia Liu, Fuqiang Yin

Abstract read
In one paragraph

Article in Translational cancer research, 2024. 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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

7 authors.

Cong Wang *Life Sciences Institute, Guangxi Medical University, Nanning, China.
Cuilan Chen *Life Sciences Institute, Guangxi Medical University, Nanning, China.
Xiaoying ChenLife Sciences Institute, Guangxi Medical University, Nanning, China.
Jie LuoLife Sciences Institute, Guangxi Medical University, Nanning, China.
Yuting SuLife Sciences Institute, Guangxi Medical University, Nanning, China.
Xia LiuKey Laboratory of Longevity and Ageing-Related Disease of Chinese Ministry of Education, Centre for Translational Medicine and School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Fuqiang YinLife Sciences Institute, Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer (OC) is a kind of lethiferous cancer in gynecology, and the development of chemoresistance is the brief reason for treatment failure. The genes which contribute to chemoresistance are often leading to short survival. Thus, this study aims to identify predictive markers for chemoresistance and survival from chemoresistant-related genes. Methods: Coremine was used to retrieve of genes linked to OC chemoresistance. The relationship of genes with patient survival was analyzed in 489 OC patients of The Cancer Genome Atlas (TCGA) cohort, which the subgroup of 90 resistant and 197 sensitive samples was used to determine gene expression. Kaplan-Meier (KM) plotter of 1,816 OC patients with survival data was retrieved for survival analysis. Survival analysis was carried out by the R survival package in R (version 3.3.1). KM and receiver operating characteristic (ROC) curve were respectively used to access the ability of a gene to predict survival and chemoresistance. Results: In this study, a group of genes potentially linked to OC chemoresistance was identified, which dysregulated in 90 chemoresistant tissues compared with 197 sensitive tissues. Of them, thirteen genes could predict chemoresistance in 1,347 patients, especially Conclusions: The identified genes specifically the

Indexed as

chemoresistanceOvarian cancer (OC)predictive markers

Identifiers

PMID39262489
PMCPMC11385244

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