Evidence map›Paper›PMID 32879664›Full record

ArticleWorld journal of gastrointestinal oncology2020

Identification of an immune-related gene-based signature to predict prognosis of patients with gastric cancer.

Xiang-Ting Qiu, Yu-Cui Song, Jian Liu, Zhen-Min Wang, Xing Niu, Jing He

Registry-linked trialAbstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05319392 (Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma), which is not on this map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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.

NCT05319392 unknown statusnot on this mapstarted 2021, after this paper: background citation

Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma

Typeobservational_patient_registrySponsorSanjay Gandhi Postgraduate Institute of Medical SciencesRan2021 to 2025Enrolled48ConditionsGastric AdenocarcinomaArmsObservational study
3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  7. Current oncology (Toronto, Ont.) · 2023
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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

6 authors.

Xiang-Ting QiuDepartment of Clinical Laboratory, Linyi Central Hospital, Linyi 276400, Shandong Province, China.
Yu-Cui SongDepartment of Operating Room, Linyi Central Hospital, Linyi 276400, Shandong Province, China.
Jian LiuDepartment of Clinical Laboratory, Linyi Central Hospital, Linyi 276400, Shandong Province, China.
Zhen-Min WangDepartment of Clinical Laboratory, Linyi Central Hospital, Linyi 276400, Shandong Province, China.
Xing NiuSecond Clinical College, Shengjing Hospital Affiliated to China Medical University, Shenyang 110004, Liaoning Province, China.
Jing HeDepartment of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong Province, China. hejing198374@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is the most commonly diagnosed malignancy worldwide. Increasing evidence suggests that it is necessary to further explore genetic and immunological characteristics of GC.

aimTo construct an immune-related gene (IRG) signature for accurately predicting the prognosis of patients with GC.

methodsDifferentially expressed genes (DEGs) between 375 gastric cancer tissues and 32 normal adjacent tissues were obtained from The Cancer Genome Atlas (TCGA) GDC data portal. Then, differentially expressed IRGs from the ImmPort database were identified for GC. Cox univariate survival analysis was used to screen survival-related IRGs. Differentially expressed survival-related IRGs were considered as hub IRGs. Genetic mutations of hub IRGs were analyzed. Then, hub IRGs were selected to conduct a prognostic signature. Receiver operating characteristic (ROC) curve analysis was used to evaluate the prognostic performance of the signature. The correlation of the signature with clinical features and tumor-infiltrating immune cells was analyzed.

resultsAmong all DEGs, 70 hub IRGs were obtained for GC. The deletions and amplifications were the two most common types of genetic mutations of hub IRGs. A prognostic signature was identified, consisting of ten hub IRGs (including

conclusionOur study proposed an immune-related prognostic signature for GC, which could help develop treatment strategies for patients with GC in the future.

Indexed as

Gastric cancerImmune infiltrationImmune-related genesPrognosisSignatureTumor microenvironment

Identifiers

PMID32879664
PMCPMC7443845

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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.