Evidence map›Paper›PMID 31355230›Full record

ArticleAnnals of translational medicine2019

MiR-195 restrains lung adenocarcinoma by regulating CD4+ T cell activation via the CCDC88C/Wnt signaling pathway: a study based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and bioinformatic analysis.

Cheng Yuan, Liyang Xiang, Rui Bai, Kuo Cao, Yanping Gao, Xueping Jiang, Nannan Zhang, Yan Gong, Conghua Xie

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  5. The Regulatory Effects of MicroRNAs on Tumor Immunity.BioMed research international · 2022
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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

9 authors at 2 institutions in 1 country.

Cheng YuanDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Liyang XiangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Rui BaiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Kuo CaoDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Yanping GaoDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Xueping JiangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Nannan ZhangDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Yan GongDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Zhongnan Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo systematically identity microRNA signatures, as well as miRNA-gene axes, for lung adenocarcinoma (LUAD) and to explore the potential biomarkers and mechanisms associated with the LUAD immune responses.

methodsLUAD-related data were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), and these data were then used to identify the differentially expressed miRNAs that were downregulated in tumor tissues. Summary receiver operating characteristic curve analysis, survival analysis and meta-analysis were applied to evaluate the clinical significance and diagnostic value of the identified miRNAs. The presumed targets of the integrated-signature miRNAs were identified via 3 different target prediction algorithms: TargetScan, miRDB and DIANA-TarBase. Immunologic signature gene sets were enriched by gene set enrichment analysis (GSEA). Tumor-infiltrating lymphocytes were profiled by the Tumor IMmune Estimation Resource (TIMER). After pathway enrichment analysis using the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases, pathway-gene networks were constructed using Cytoscape software.

resultsAfter integrated analysis of 4 GEO data sets (GSE48414, GSE51853, GSE63805 and GSE74190) and TCGA databases, miR-195 was identified as a potential clinical diagnostic marker. A total of 287 miR-195 target genes were screened, and 3 functional gene sets (GSE13485, GSE21379 and GSE29164) were enriched. GSE21379 was associated with the upregulation of CD4+ T cells in tumors, and the core genes were validated via the TIMER database. The CCDC88C expression level was significantly correlated with CD4+ T cell activation (partial.cor =0.437, P<0.001). Enrichment analysis revealed that CCDC88C was significantly enriched in the Wnt signaling pathway.

conclusionsMiR-195, as a suppressor of lung adenocarcinoma, regulates CD4+ T cell activation via CCDC88C.

Indexed as

bioinformatic analysisCCDC88Cimmunologic signatureslung adenocarcinomamiR-195

Identifiers

PMID31355230
PMCPMC6614311
OpenAlexW2949309452

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