Evidence map›Paper›PMID 38817903›Full record

ArticleFrontiers in oncology2024

Mutation characteristics of cancer susceptibility genes in Chinese ovarian cancer patients.

Jie Wang, Kaiyu Fu, Mengpei Zhang, Lunggang Liang, Meng Ni, Hai-Xi Sun, Rutie Yin, Meifang Tang

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PubMed Full text at PMC Publisher
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Article in Frontiers in oncology, 2024. 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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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jie WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Kaiyu FuDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Mengpei ZhangDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Lunggang LiangBGI Genomics, Shenzhen, China.
Meng NiBGI Genomics, Shenzhen, China.
Hai-Xi SunBGI Research, Beijing, China.
Rutie YinDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Meifang TangBGI Genomics, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The association between mutations in susceptibility genes and the occurrence of ovarian cancer has been extensively studied. Previous research has primarily concentrated on genes involved in the homologous recombination repair pathway, particularly Methods: To investigate the mutation characteristics of cancer susceptibility genes in the Chinese ovarian cancer population and the associations between gene mutations and clinical data, this study initially gathered a total of 1171 Chinese ovarian cancer samples and compiled a dataset of germline mutations in 171 genes. Results: In this study, it was determined that Conclusion: In summary, this research provided fundamental data support for the optimization of ovarian cancer gene screening policies and the determination of treatment, and contributed to the precise intervention and management of patients.

Indexed as

cancer genomicscancer susceptibility genesgermline mutationsovarian cancertarget capture sequencing

Identifiers

PMID38817903
PMCPMC11137316

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