Evidence map›Paper›PMID 31848941›Full record

ArticlePathology oncology research : POR2020

Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.

Chaoran Yu, Jie Chen, Junjun Ma, Lu Zang, Feng Dong, Jing Sun, Minhua Zheng

Abstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. World journal of gastrointestinal oncology · 2025
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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.

Chaoran YuDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China. chaoran_yu@sjtu.edu.cn.
Jie ChenDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Junjun MaDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Lu ZangDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Feng DongDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Jing SunDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Minhua ZhengDepartment of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Ruijin Hospital · CNShanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81402423National Natural Science Foundation of China 81572818National Natural Science Foundation of China 81871984Shanghai Municipal Population and Family Planning Commission (CN) 2017YQ062Shanghai Science and Technology Committee 18695841400
6 · The paper itself

Abstract

Genomic features have been gradually regarded as part of the fundamentals to the clinical diagnosis and treatment for gastric cancer. However, the molecular alterations taking place during the progression of gastric cancer remain unclear. Therefore, identification of potential key genes and pathways in the gastric cancer progression is crucial to clinical practices. The gene expression profile, GSE103236, was retrieved for the identification of the differentially expressed genes (DEGs), followed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments, gene set enrichment analysis (GSEA) and the protein-protein interaction (PPI) networks. Multiple bioinformatics platforms were employed for expression and prognostic analysis. Fresh frozen gastric cancer tissues were used for external validation. A total of 161 DEGs were identified from GSE103236. The PPI network-derived hub genes included collagen type I alpha 1 chain (COL1A1), tissue inhibitor of the metalloproteinases (TIMP1), Secreted Phosphoprotein 1 (SPP1), somatostatin (SST), neuropeptide Y (NPY), biglycan (BGN), matrix metallopeptidase 3 (MMP3), apolipoprotein E (APOE), ATPase H+/K+ transporting alpha subunit (ATP4A), lysyl oxidase (LOX). SPP1 (log rank p = 0.0048, HR = 1.39 [1.1-1.75]) and MMP3 (log rank p < 0.0001, HR = 1.77 [1.44-2.19]) were significantly associated with poor overall survival. Stage-specifically, both COL1A1 and BGN were correlated with significant in stage III and IV gastric cancer cases. LOX showed significant correlation with prognosis in stage I and stage II gastric cancer cases. Furthermore, cg00583003 of SPP1 and cg16466334 of MMP3 exhibited highly methylation level and significant prognostic values (SPP1: HR = 1.625, p = 0.013; MMP3: HR = 0.647, p = 0.011). Hub genes signature displayed a favorable prognostic value (p value = 5.227e-05). APOE demonstrated the highest correlation with CD8

Indexed as

Biomarkers, TumorCollagen Type I, alpha 1 ChainDisease ProgressionHumansPrognosisSignal TransductionStomach NeoplasmsTranscriptomeBiomarkers, TumorCOL1A1 protein, humanCollagen Type I, alpha 1 ChainDifferentially expressed genesGastric cancerGene ontologyGene set enrichment analysisKEGG pathwayProtein-protein interaction network

Identifiers

PMID31848941
OpenAlexW2995014173

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.