Evidence map›Paper›PMID 29393486›Full record

ArticleMolecular medicine reports2018

A 10‑microRNA prognosis scoring system in esophageal squamous cell carcinoma constructed using bioinformatic methods.

Qingchao Sun, Liang Zong, Haiping Zhang, Yanchao Deng, Changming Zhang, Liwei Zhang

Abstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qingchao SunDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Liang ZongDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Haiping ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Yanchao DengDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Changming ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.
Liwei ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of XinJiang Medical University, Urumqi, Xinjiang 830054, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA (miR) signatures may aid the diagnosis and prediction of cancer; therefore, miRs associated with the prognosis of esophageal squamous cell carcinoma (ESCC) were screened. miR‑sequencing (seq) and mRNA‑seq data from early‑stage ESCC samples were downloaded from The Cancer Genome Atlas (TCGA) database, and samples from subjects with a >6‑month survival time were assessed with Cox regression analysis for prognosis‑associated miRs. A further two miR expression datasets of ESCC samples, GSE43732 and GSE13937, were downloaded from the Gene Expression Omnibus database. Common miRs between prognosis‑associated miRs, and miRs in the GSE43732 and GSE13937, datasets were used for risk score calculations for each sample, and median risk scores were applied for the stratification of low‑ and high‑risk samples. A prognostic scoring system of signature miRs was subsequently constructed and used for survival analysis for low‑ and high‑risk samples. Differentially‑expressed genes (DEGs) corresponding to all miRs were screened and functional annotation was performed. A total of 34 prognostic miRs were screened and a scoring system was created using 10 signature miRs (hsa‑miR‑140, ‑33b, ‑34b, ‑144, ‑486, ‑214, ‑129‑2, ‑374a and ‑412). Using this system, low‑risk samples were identified to be associated with longer survival compared with high‑risk samples in the TCGA and GSE43732 datasets. Age, alcohol and tobacco use, and radiotherapy were prognostic factors for samples with different risk scores and the same clinical features. There were 168 DEGs, and the top 20 risk scores positively‑correlated and the top 20 risk scores negatively‑correlated DEGs were significantly enriched for six and 10 functional terms, respectively. 'Tight junction' and 'melanogenesis' were two significantly enriched pathways of DEGs. miR‑214, miR‑129‑2, miR‑37a and miR‑486 may predict ESCC patient survival, although further studies to validate this hypothesis are required.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAgedCarcinoma, Squamous CellCombined Modality TherapyComputational BiologyDatabases, GeneticEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression ProfilingHumansMicroRNAsMiddle AgedMolecular Sequence AnnotationNeoplasm GradingNeoplasm MetastasisBiomarkers, TumorMicroRNAsesophageal squamous cell carcinomafunctionl annotationignature microRNAprognostic scorring systemrisk score

Identifiers

PMID29393486
PMCPMC5865988

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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.