Evidence map›Paper›PMID 29795987›Full record

ArticleCancer management and research2018

The lncRNA myocardial infarction associated transcript-centric competing endogenous RNA network in non-small-cell lung cancer.

Chang Zheng, Xuelian Li, Biyun Qian, Nannan Feng, Sumeng Gao, Yuxia Zhao, Baosen Zhou

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 32% 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, 18 citations in OpenAlex.

  1. Association ofInternational journal of medical sciences · 2026
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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

7 authors at 3 institutions in 1 country.

Chang ZhengDepartment of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, People's Republic of China.
Xuelian LiDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang 110122, People's Republic of China.
Biyun QianDepartment of Epidemiology, School of Public Health, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
Nannan FengDepartment of Epidemiology, School of Public Health, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
Sumeng GaoDepartment of Epidemiology, School of Public Health, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China.
Yuxia ZhaoDepartment of Radiotherapy, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, People's Republic of China.
Baosen ZhouDepartment of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, People's Republic of China.
China Medical University · CNShanghai Jiao Tong University · CNFourth Affiliated Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe leading cause of death for cancer is lung cancer, of which the majority subtype is non-small cell lung cancer (NSCLC). Recent studies have shown long non-coding RNAs are transcribed and contribute to cancer. Previous study has shown that a few single nucleotide polymorphisms (SNPs) in myocardial infarction associated transcript (MIAT) were associated with some diseases or function as competing endogenous RNA (ceRNA) in some cancer. PATIENTS AND

methodsWe performed bioinformatic methods for analyzing RNA-seq and miRNA-seq data of NSCLC from The Cancer Genome Atlas database. 1352 NSCLC patients and 1320 cancer-free controls for genotyping, and dual luciferase reporter assay, real-time PCR are performed in A549 and H1975 lung cancer cell lines. Results are analyzed by SPSS v16.0.

resultsIn the present study, we focus on the role of over-expression MIAT in NSCLC. We confirmed that rs1061451 T>C (allele odds ratio = 0.22;

conclusionC-containing genotypes of MIAT rs1061451 were protective factor of NSCLC, and MIAT, which may act as ceRNA via miR-133a-5p, modulated

Indexed as

competing endogenous RNAnon-coding RNAnon-small-cell lung cancersingle-nucleotide polymorphism

Identifiers

PMID29795987
PMCPMC5958945
OpenAlexW2800803524

What OpenQuestion holds

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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.