Evidence map›Paper›PMID 28141816›Full record

ArticlePloS one2017

Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy.

Li-Kun Hou, Yu-Shui Ma, Yang Han, Gai-Xia Lu, Pei Luo, Zheng-Yan Chang, Ru-Ting Xie, Hui-Qiong Yang, Li Chai, Ming-Xiang Cai and 6 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. APE1 controls DICER1 expression in NSCLC through miR-33a and miR-130b.Cellular and molecular life sciences : CMLS · 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

16 authors.

Li-Kun HouDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Yu-Shui MaShanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, College of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China.
Yang HanDepartment of Radiology, Department of Translational Medicine Center & Medical Imaging Research Institute, Central Hospital of Baotou, Inner Mongolia, Inner Mongolia Medical University, China.
Gai-Xia LuDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Pei LuoVeterinary Faculty, College of Veterinary Medicine, Hunan Agricultural University, Changsha, China.
Zheng-Yan ChangDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ru-Ting XieDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hui-Qiong YangDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Li ChaiDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ming-Xiang CaiDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ting-Miao WuDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Fei YuDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Shan-Shan QinDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhong-Wei LvDepartment of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Chun-Yan WuDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Da FuCentral Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.

methodsMiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.

resultsThe in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.

conclusionOur study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy.

Indexed as

Gene Expression ProfilingBiomarkers, TumorCarcinoma, Non-Small-Cell LungChemotherapy, AdjuvantComputer SimulationDatabases, GeneticDemographyFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedPrognosisProportional Hazards ModelsBiomarkers, TumorMicroRNAsMIRN33a microRNA, human

Identifiers

PMID28141816
PMCPMC5283662

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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.