Evidence map›Paper›PMID 33173530›Full record

ArticleFrontiers in genetics2020

Six-lncRNA Immune Prognostic Signature for Cervical Cancer.

Qian Chen, Lang Hu, Dongping Huang, Kaihua Chen, Xiaoqiang Qiu, Bingqing Qiu

Abstract read
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Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qian ChenDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, China.
Lang HuGuangxi Medical University Cancer Hospital, Nanning, China.
Dongping HuangDepartment of Nutrition, School of Public Health, Guangxi Medical University, Nanning, China.
Kaihua ChenDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, China.
Xiaoqiang QiuDepartment of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, China.
Bingqing QiuDepartment of Nuclear Medicine, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer.

methodWe obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas database and the Molecular Signatures Database. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The immune prognostic signature was constructed by Least Absolute Shrinkage and Selection Operator Cox regression, prognosis was analyzed by Kaplan-Meier curves between different groups, and the accuracy of the prognostic model was assessed by receiver operating characteristic-area under the curve (ROC-AUC) analysis.

resultsA six-lncRNA immune prognostic signature (LIPS) was constructed to predict the prognosis of cervical cancer. The six lncRNAs are as follows: AC009065.8, LINC01871, MIR210HG, GEMIN7-AS1, GAS5-AS1, and DLEU1. A ROC-AUC analysis indicated that the model could predict the prognosis of cervical cancer patients in different subgroups. A Kaplan-Meier analysis showed that patients with high risk scores had a poor prognosis; these results were equally meaningful in the subgroup analyses. Risk scores differed depending on the clinical pathology and tumor grade and were independent risk factors for cervical cancer prognosis. Gene set enrichment analysis revealed an association between the LIPS and the immune response, Wnt signaling pathway, and TGF beta signaling pathway.

conclusionOur study shows that the six-LIPS can predict the prognosis of cervical cancer and contribute to decisions regarding the immunotherapeutic strategy.

Indexed as

cervical cancerGSEAimmune prognostic signaturelncRNATCGA

Identifiers

PMID33173530
PMCPMC7591729

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