Evidence map›Paper›PMID 32117443›Full record

ArticleFrontiers in genetics2020

Identification of the Prognosis-Related lncRNAs and Genes in Gastric Cancer.

Xiaohui Su, Jianjun Zhang, Wei Yang, Yanqing Liu, Yang Liu, Zexing Shan, Wentao Wang

Open access · goldAbstract read
In one paragraph

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xiaohui SuDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Jianjun ZhangDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Wei YangDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Yanqing LiuDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Yang LiuDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Zexing ShanDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
Wentao WangDepartment of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning, China.
China Medical University · CNLiaoning Cancer Hospital & Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is a common malignant tumor with high occurrence and recurrence and is the leading cause of death worldwide. However, the prognostic value of protein-coding and non-coding RNAs in stage III gastric cancer has not been systematically analyzed. In this study, using TCGA data, we identified 585 long noncoding RNAs (lncRNAs) and 927 protein-coding genes (PCGs) correlated with the overall survival rate of gastric cancer. Functional enrichment analysis revealed that the prognostic genes positively correlated with death rates were enriched in pathways, including gap junction, focal adhesion, cell adhesion molecules (CAMs), and neuroactive ligand-receptor interaction, that are involved in the tumor microenvironment and cell-cell communications, suggesting that their dysregulation may promote the tumor progression. To evaluate the performance of the prognostic genes in risk prediction, we built three multivariable Cox models based on prognostic genes selected from the prognostic PCGs and lncRNAs. The performance of the three models based on features from only PCGs or lncRNAs or from all prognostic genes were systematically compared, which revealed that the features selected from all the prognostic genes showed higher performance than the features selected only from lncRNAs or PCGs. Furthermore, the multivariable Cox regression analysis revealed that the stratification with the highest performance was an independent prognostic factor in stage III gastric cancer. In addition, we explored the underlying mechanism of the prognostic lncRNAs in the Cox model by predicting the lncRNA and protein interaction. Specifically,

Indexed as

gastric cancerlong noncoding RNAmodelprognosticTCGA

Identifiers

PMID32117443
PMCPMC7027194
OpenAlexW3006253847

What OpenQuestion holds

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Registered trials

None linked

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.