Evidence map›Paper›PMID 34906078›Full record

ArticleBiological procedures online2021

Immune-Related Long Non-coding RNA Constructs a Prognostic Signature of Ovarian Cancer.

Xiaoyu Sun, Shan Li, Xuemei Lv, Yuanyuan Yan, Minjie Wei, Miao He, Xiaobin Wang

Abstract read
In one paragraph

Article in Biological procedures online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoyu SunDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning Province, China.
Shan LiDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China.
Xuemei LvDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning Province, China.
Yuanyuan YanDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning Province, China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning Province, China. weiminjiecmu@163.com.ORCID https://orcid.org/0000-0002-0404-7098
Miao HeDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, Liaoning Province, China. hemiao_cmu@126.com.ORCID https://orcid.org/0000-0001-7258-3207
Xiaobin WangCenter of Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China. 1657438092@sj-hospital.org.

Funding

National Natural Science Foundation of China No. 81902708National Natural Science Foundation of China No. 81972794
6 · The paper itself

Abstract

backgroundSince ovarian cancer leads to the poor prognosis in women all over the world, we aim to construct an immune-related lncRNAs signature to improve the survival of ovarian cancer patients.

methodsNormal and cancer patient samples and corresponding clinical data of ovarian were obtained from The Genotype-Tissue Expression (GTEx) portal and The Cancer Genome Atlas (TCGA) database. The predictive signature was constructed by the lasso penalty Cox proportional hazard regression model. The division of different risk groups was accounting for the optimal critical value of the time-dependent Receiver Operating Characteristic (ROC) curve. Finally, we validated and evaluated the application of this prognostic signature based on the clinical factors, chemo-sensitivity and immune status of different risk groups.

resultsThe signature was established from 145 DEirlncRNAs and can be shown as an independent prognostic risk factor with accurate prediction on overall survival in ovarian cancer patients. Further analysis on the application of the prognostic signature showed that patients with low-risk had a better sensitivity to chemotherapy and a higher immunogenicity.

conclusionWe constructed and verified an effective signature based on DEirlncRNA pairs, which could predict the prognosis, drug sensitivity and immune status of ovarian cancer patients and promote the prognostic estimation and individualized treatment.

Indexed as

Chemo-sensitivityImmune infiltrationLong non-coding RNAOvarian cancerSignature

Identifiers

PMID34906078
PMCPMC8903634

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