Evidence map›Paper›PMID 38881917›Full record

ArticleTranslational cancer research2024

A novel lactylation-related gene signature for effectively distinguishing and predicting the prognosis of ovarian cancer.

Lei Yu, Chunxia Jing, Sulian Zhuang, Liwei Ji, Li Jiang

Abstract read
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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 23 papers.

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0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Lei YuDepartment of Obstetrics and Gynaecology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Chunxia JingDepartment of Obstetrics and Gynaecology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Sulian ZhuangDepartment of Obstetrics and Gynaecology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Liwei JiDepartment of Obstetrics and Gynaecology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.
Li JiangDepartment of Obstetrics and Gynaecology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lactylation has been found to regulate several types of biological processes in cancer. However, there is limited research on lactylation-related genes in predicting the prognosis of ovarian cancer (OC). This study aimed to explore the functional roles of lactylation-related genes in OC. Methods: Based on TCGA database, we obtained RNA sequencing data and clinical characteristics of patients with OC. Fourteen lactylation-related genes were screened for bioinformatic analysis in OC. Tumor classification of OC was constructed via a consistency cluster analysis. We examined the prognosis, immune-cell infiltration, and immunotherapy in relation to a lactylation-related model for OC. Results: A total of 707 prognostic genes and 14 key lactylation-related genes ( Conclusions: The lactylation-related genes are closely related to tumor classification and immunity in patients with OC. There was good prognostic predictive performance for OC based on a lactylation-related signature. Our findings may offer new insights into the diagnosis and treatment of OC.

Indexed as

biomarkerslactylationlactylation-related gene signatureOvarian cancer (OC)prognostic model

Identifiers

PMID38881917
PMCPMC11170528

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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.