Evidence map›Paper›PMID 32519178›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2021

A signature of 14 immune-related gene pairs predicts overall survival in gastric cancer.

E Zhao, C Zhou, S Chen

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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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

3 authors.

E Zhao *Department of Structural Heart Disease, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
C Zhou *The Hormel Institute, University of Minnesota, Austin, MN, 55912, USA.
S ChenDepartment of Gastroenterology, the First Clinical Medical School of Shaanxi University of Chinese Medicine, NO.2 Weiyang West Road, Qindu District, Xianyang, 712000, Shaanxi Province, People's Republic of China. asmchen@sina.cn.ORCID http://orcid.org/0000-0001-6123-0895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncreasing evidence demonstrates that immune signature plays an important role in the prognosis of gastric cancer (GC). We aimed to develop and validate a robust immune-related gene pair (IRGP) signature for predicting the prognosis of GC patients.

methodsRNA-Seq data and corresponding clinical information of GC cohort were downloaded from the TCGA (The Cancer Genome Atlas Program) data portal. GSE84437 and GSE15459 microarray datasets were included as independent external cohorts. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to build the best prognostic signature. All patients were classified into the high immune-risk and low immune-risk groups via the optimal cut-off of the signature scores determined by time-dependent receiver-operating characteristic (ROC) curve analysis. The prognostic role of the signature was measured by a log-rank test and a Cox proportional hazard regression model.

results14 immune gene pairs consisting of 25 unique genes were identified to construct the immune prognostic signature. High immune-risk groups showed poor prognosis in the TCGA datasets and GSE84437 datasets as well as in the GSE15459 datasets (all P < 0.001). The 14-IRGP signature was an independent prognostic factor of GC after adjusting for other clinical factors (P < 0.05). Functional analysis revealed that DNA integrity checkpoint, DNA replication, T-cell receptor signaling pathway, and B-cell receptor signaling pathway were enriched in the low immune-risk groups. B cells naive and Monocytes were significantly higher in the high-risk group, and B-cell memory and T-cell CD4 memory activated were significantly higher in the low-risk group. The prognostic signature based on IRGP reflected infiltration by several types of immune cells.

conclusionThe novel proposed clinical-immune signature is a promising biomarker for prediction overall survival in patients with GC and providing new insights into the treatment strategies.

Indexed as

Biomarkers, TumorDatabases, GeneticDatabases, Nucleic AcidDatasets as TopicDNA ReplicationGene ExpressionHumansImmunologic MemoryLymphocytes, Tumor-InfiltratingPrognosisProportional Hazards ModelsReceptors, Antigen, B-CellReceptors, Antigen, T-CellRegression AnalysisROC CurveStomach NeoplasmsBiomarkers, TumorReceptors, Antigen, B-CellReceptors, Antigen, T-CellGastric cancerImmune-related gene pairsOutcomePrediction

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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.