Evidence map›Paper›PMID 32953159›Full record

ArticleJournal of gastrointestinal oncology2020

Discovery of a novel three-long non-coding RNA signature for predicting the prognosis of patients with gastric cancer.

Yongqiang Wang, Huimin Zhang, Ju Wang

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  6. Identification of prognostic alternative splicing signature in gastric cancer.Archives of public health = Archives belges de sante publique · 2022
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yongqiang WangDepartment of Gastrointestinal Surgery, Inner Mongolia People's Hospital, Hohhot, China.
Huimin ZhangDepartment of gastroenterology, Inner Mongolia People's Hospital, Hohhot, China.
Ju WangDepartment of Gastrointestinal Surgery, Inner Mongolia People's Hospital, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccumulating evidence demonstrates that long non-coding RNAs (lncRNAs) play a predictive role in the prognosis of gastric cancer (GC). The present study aims to construct a lncRNA-based model via mining data of The Cancer Genome Atlas (TCGA).

methodsDifferentially expressed lncRNAs were first identified, followed by univariate Cox analysis, Robust likelihood-based survival model and multivariate Cox analysis to construct a signature composed of lncRNAs.

resultsA three-lncRNA based predictive signature (OVAAL, FLJ16779, FAM230D) was established to stratify GC patients into high- and low-risk groups. Patients in the high-risk group had markedly shorter overall survival (OS) than those in the low-risk group, which was verified by the ROC curve. Then, we validated the predictive power of the scoring system in other two cohorts. Multivariate Cox analysis also indicated that the 3-lncRNA signature was an independent prognostic factor for survival prediction in GC patients. Moreover, Gene Set Enrichment Analysis (GSEA) revealed that diverse metabolic pathways significantly clustered in the low-risk group, which might explain how the 3-lncRNA signature promoted gastric carcinogenesis.

conclusionsWe established a robust three-lncRNA model to predict the OS of GC patients, which might benefit the clinical decision making for personalized treatment and prognostic prediction for GC patients.

Indexed as

biomarkerGastric carcinoma (GC)gene set enrichment analysislong non-coding RNA (lncRNAs)

Identifiers

PMID32953159
PMCPMC7475326

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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.