Evidence map›Paper›PMID 30254489›Full record

ArticleCancer management and research2018

Establishment and validation of a 7-microRNA prognostic signature for non-small cell lung cancer.

Nan Wang, Huihui Guo, Zhaohuo Dong, Qiuqiang Chen, Xilin Zhang, Weiyun Shen, Ying Bao, Xiang Wang

Abstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. miRNA-Seq Tissue Diagnostic Signature: A Novel Model for NSCLC Subtyping.International journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. Development of a serum miRNA panel for detection of early stage non-small cell lung cancer.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
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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

8 authors.

Nan WangMedical Department, Huzhou Hospital of Traditional Chinese Medicine, Huzhou, People's Republic of China.
Huihui GuoFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.
Zhaohuo DongMedical Department, Huzhou Hospital of Traditional Chinese Medicine, Huzhou, People's Republic of China.
Qiuqiang ChenFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.
Xilin ZhangFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.
Weiyun ShenFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.
Ying BaoFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.
Xiang WangFirst Affiliated Hospital, Huzhou Teachers College, The First People's Hospital of Huzhou, Huzhou, People's Republic of China, wxhtc10@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA series of microRNAs (miRNAs) have been identified as associated with the survival of patients with non-small-cell lung cancer (NSCLC). The aim of the present study was to explore whether combination of these experimentally validated individual miRNA biomarkers could be used to further increase their prognostic power in NSCLC. PATIENTS AND

methodsBased on previously validated NSCLC prognostic miRNAs, gene signatures that could discriminate high-risk subgroups with poor clinical outcome in four NSCLC miRNA expression datasets (GSE13937, GSE16025, The Cancer Genome Atlas Lung Adenocarcinoma, and TCGA lung squamous cell carcinoma) were developed using the SurvMicro tool. The potential of the miRNA signature established was validated by quantitative real-time PCR analysis of clinical NSCLC samples, and its prognostic power evaluated using the survivalROC method.

resultsWe developed two miRNA signatures with prognostic significance for NSCLC, comprising 12- and 7-miRNAs. The 7-miRNA signature (miR-148b, miR-365, miR-32, miR-375, miR-21, miR-125b, and miR-155) was a subset of a 12-miRNA set that retained prognostic power across NSCLC cohorts. Compared with previously established miRNA signatures, our 7-miRNA signature has similar potential, while comprising fewer miRNA components. The prognostic ability of the 7-miRNA signature was validated experimentally in an independent NSCLC cohort using real-time PCR (HR=3.4847, 95% CI=1.3693-8.8680,

conclusionOur data indicate that the established 7-miRNA signature is simple, robust, and may have greater clinical prognostic utility for patients with NSCLC.

Indexed as

gene signaturelung canceroverall survivalrisk classificationTCGAThe Cancer Genome Atlas

Identifiers

PMID30254489
PMCPMC6140736

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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.