Evidence map›Paper›PMID 40186852›Full record

ArticleIET systems biology

Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer.

Wen Jin, Jianli Liu, Tingyu Yang, Zongqi Feng, Jie Yang, Lei Cao, Chengyan Wu, Yongchun Zuo, Lan Yu

Abstract read
In one paragraph

Article in IET systems biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wen JinClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.
Jianli LiuSchool of Water Resource and Environment Engineering, China University of Geosciences, Beijing, China.
Tingyu YangClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.
Zongqi FengClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.
Jie YangClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.
Lei CaoClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.
Chengyan WuBaotou Teacher's College, Inner Mongolia University of Science and Technology, Baotou, China.
Yongchun ZuoCollege of Life Sciences, Inner Mongolia University, Hohhot, China.
Lan YuClinical Medical Research Center/Inner Mongolia Key Laboratory of Gene Regulation of the Metabolic Disease, Inner Mongolia People's Hospital, Hohhot, China.ORCID 0000-0003-0531-3383

Funding

National Natural Science Foundation of China 62171241National Natural Science Foundation of China 62262049National Natural Science Foundation of China 81960449Natural Science Foundation of Inner Mongolia Autonomous Region 2022QN06007Science and Technology Planning Project for Health of Inner Mongolia 202202024Science Research Foundation of Inner Mongolia People's Hospital 2021YN18
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are crucial factors in gene regulation, and their dysregulation plays important roles in the immunity of gastric cancer (GC). However, finding specific and effective miRNA markers is still a great challenge for GC immunotherapy. In this study, we computed and analysed miRNA-seq, RNA-seq and clinical data of GC patients from the TCGA database. With the comparison of tumour and normal tissues in GC, we identified 2056 upregulated and 2311 downregulated protein-coding genes. Based on the miRNet database, more than 2600 miRNAs interact with these genes. Several key miRNAs, including hsa-mir-34a, hsa-mir-182 and hsa-mir-23b, were identified to potentially play important regulatory roles in the expression of most upregulated and downregulated genes in GC. Based on bioinformation approaches, the expressions of hsa-mir-34a and hsa-mir-182 were closely linked to the tumour stage, and high expression of hsa-mir-23b was correlated with poor survival in GC. Moreover, these three miRNAs are involved in immune cell infiltration (such as activated memory CD4 T cells and resting mast cells), particularly hsa-mir-182 and hsa-mir-23b. GSEA suggested that the changes in their expression may possibly activate/inhibit immune-related signal pathways, such as chemokine signalling pathway and CXCR4 pathway. These results will provide possible miRNA markers or targets for combined immunotherapy of GC.

Indexed as

Gene Expression ProfilingImmunityMicroRNAsStomach NeoplasmsGene Expression Regulation, NeoplasticHumansMicroRNAsbioinformaticscancerdata analysis

Identifiers

PMID40186852
PMCPMC11972004

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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.