Evidence map›Paper›PMID 30487700›Full record

ArticleWorld journal of gastroenterology2018

Prognostic value of sorting nexin 10 weak expression in stomach adenocarcinoma revealed by weighted gene co-expression network analysis.

Jun Zhang, Yue Wu, Hao-Yi Jin, Shuai Guo, Zhe Dong, Zhi-Chao Zheng, Yue Wang, Yan Zhao

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2018. 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
7.3field-weighted citation impact, top 2% 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, 45 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

8 authors at 3 institutions in 1 country.

Jun ZhangDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China.
Yue WuDepartment of Emergency, Sheng Jing Hospital of China Medical University, Shenyang 110042, Liaoning Province, China.
Hao-Yi JinPancreatic and Thyroid Surgery Department, Sheng Jing Hospital of China Medical University, Shenyang 110042, Liaoning Province, China.
Shuai GuoDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China.
Zhe DongDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China.
Zhi-Chao ZhengDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China.
Yue WangDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China.
Yan ZhaoDepartment of Gastric Cancer, Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University), Shenyang 110042, Liaoning Province, China. zhaoyan@cancerhosp-ln-cmu.com.
China Medical University · CNLiaoning Cancer Hospital & Institute · CNSheng Jing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo detect significant clusters of co-expressed genes associated with tumorigenesis that might help to predict stomach adenocarcinoma (SA) prognosis.

methodsThe Cancer Genome Atlas database was used to obtain RNA sequences as well as complete clinical data of SA and adjacent normal tissues from patients. Weighted gene co-expression network analysis (WGCNA) was used to investigate the meaningful module along with hub genes. Expression of hub genes was analyzed in 362 paraffin-embedded SA biopsy tissues by immunohistochemical staining. Patients were classified into two groups (according to expression of hub genes): Weak expression and over-expression groups. Correlation of biomarkers with clinicopathological factors indicated patient survival.

resultsWhole genome expression level screening identified 6,231 differentially expressed genes. Twenty-four co-expressed gene modules were identified using WGCNA. Pearson's correlation analysis showed that the tan module was the most relevant to tumor stage (

conclusionThis study provides a new technique for screening prognostic biomarkers of SA. Weak expression of SNX10 is linked to poor prognosis, and is a suitable prognostic biomarker of SA.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleMiddle AgedNeoplasm StagingPrognosisSequence Analysis, RNASorting NexinsBiomarkers, TumorSNX10 protein, humanSorting NexinsClinicopathological predictorsDisease-free survivalOverall survivalSorting nexin 10Stomach adenocarcinomaThe Cancer Genome AtlasWeighted gene co-expression network analysis

Identifiers

PMID30487700
PMCPMC6250920
OpenAlexW2901003481

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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.