Evidence map›Paper›PMID 26632718›Full record

ArticleMedicine2015

Genetic Variations in Key MicroRNAs are Associated With the Survival of Nonsmall Cell Lung Cancer.

Shuangshuang Wu, Wei Shen, Yun Pan, Meng Zhu, Kaipeng Xie, Liguo Geng, Yuzhuo Wang, Yan Liang, Jiali Xu, Songyu Cao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

16 authors at 4 institutions in 3 countries.

Shuangshuang WuFrom the Department of Geriatrics (SW, YL, WX, BC, JW); Editorial Department of Journal of Clinical Dermatology (YP); Department of Oncology, The First Affiliated Hospital of Nanjing Medical University (JX); Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University (WS, MZ, KX, LG, YW, ZH, HM); Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University (WS, MZ, KX, LG, YW, ZH, HM, HS); and State-Level Model Center of Experimental Teaching, Department of Hygienic Analysis and Detection, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, P.R. China (SC).
Wei Shen
Yun Pan
Meng Zhu
Kaipeng Xie
Liguo Geng
Yuzhuo Wang
Yan Liang
Jiali Xu
Songyu Cao
Wei Xu
Bo Chen
Zhibin Hu
Hongxia Ma
Jianqing Wu
Hongbing Shen
Nanjing Medical University · CNCreative Commons · USYarmouk Private University · SYJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of small, noncoding RNA molecules involved in carcinogenesis. It has been identified that genetic variations in miRNAs contribute to cancer risk, prognosis, and survival. In the present study, we investigated whether single nucleotide polymorphisms (SNPs) of several key miRNAs (miR-184, miR-218, and miR-124) were associated with the prognosis of nonsmall cell lung cancer (NSCLC) in a clinical cohort study including 1001 cases. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and their 95% confidence intervals (CIs). We found that 5 SNPs were associated with NSCLC survival (rs919968, rs3775815, rs4867902, and rs6122390 in an additive model: adjusted HR = 1.15, 95% CI = 1.02-1.29; adjusted HR = 0.78, 95% CI = 0.67-0.91, adjusted HR = 1.24, 95% CI = 1.09-1.41; adjusted HR = 1.21, 95% CI = 1.07-1.36, respectively; rs298206 in a dominant model: HR = 1.25, 95% CI = 1.05-1.49). Even after the Bonferroni correction, 3 SNPs remained significant (adjusted P = 0.010, 0.010, and 0.032 for rs3775815, rs4867902, and rs6122390, respectively). Additionally, the combined analysis of these 5 SNPs showed a significant locus-dosage effect between number of unfavorable alleles (rs919968-A, rs3775815-C, rs4867902-G, rs6122390-A, and rs298206-T) and death risk of NSCLC (P for trend < 0.001). A statistically significant multiplicative interaction was found between the genotypes of rs4867902 and surgical operation status (Pint = 0.013). These findings indicated that genetic variations in miRNAs (miR-184, miR-218, and miR-124) might be prognostic markers for NSCLC patients.

Indexed as

AgedAsian PeopleCarcinoma, Non-Small-Cell LungCohort StudiesFemaleGenotypeHumansKaplan-Meier EstimateLung NeoplasmsMaleMicroRNAsMiddle AgedPolymorphism, Single NucleotidePrognosisProportional Hazards ModelsMicroRNAsMIRN124 microRNA, humanMIRN184 microRNA, humanMIRN218 microRNA, human

Identifiers

PMID26632718
PMCPMC5058987
OpenAlexW2312586242

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.