Evidence map›Paper›PMID 26339455›Full record

ArticleInternational journal of clinical and experimental pathology2015

MicroRNA-153 expression and prognosis in non-small cell lung cancer.

Wei-Jun Chen, En-Ning Zhang, Zhao-Kun Zhong, Mao-Zhu Jiang, Xi-Feng Yang, Dong-Mei Zhou, Xiu-Wen Wang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021
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  8. Molecular Pathology of Lung Cancer.Cold Spring Harbor perspectives in medicine · 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

7 authors at 2 institutions in 1 country.

Wei-Jun ChenShandong University Jinan 250100, Shandong, China ; Department of Medical Oncology, Yantaishan Hospital Yantai 264000, Shandong, China.
En-Ning ZhangDepartment of Medical Oncology, Yantaishan Hospital Yantai 264000, Shandong, China.
Zhao-Kun ZhongDepartment of Medical Oncology, Yantaishan Hospital Yantai 264000, Shandong, China.
Mao-Zhu JiangDepartment of Radiotherapy, Yantaishan Hospital Yantai 264000, Shandong, China.
Xi-Feng YangDepartment of Medical Oncology, Yantaishan Hospital Yantai 264000, Shandong, China.
Dong-Mei ZhouDepartment of Medical Oncology, Yantaishan Hospital Yantai 264000, Shandong, China.
Xiu-Wen WangDepartment of Chemotherapy, Qilu Hospital, Shandong University Jinan 250117, Shandong, China.
Yantaishan Hospital · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiR-153 has been found to be significantly decreased in non-small cell lung cancer (NSCLC) tissues; however, its clinical significance has not been investigated.

methodsThe expression patterns of miR-153 in 137 pairs of human lung cancer tissues and adjacent normal lung tissues were analyzed using qRT-PCR. The relationships between miR-153 expression and clinicopathological parameters were examined by chi-square test. Kaplan-Meier method and the log-rank test were used to determine the difference in overall survival (OS) rates between two groups.

resultsThe expression of miR-153 was reduced significantly, compared with adjacent normal lung tissues (P<0.05). We observed that the expression level of miR-153 was positively correlated with the clinical stage (P=0.005), lymph node status (P=0.014), distant metastasis (P=0.004), and differentiated degree (P<0.001) in NSCLC patients. According to the Kaplan-Meier survival analysis, the patients with low miR-153 expression exhibited evidently poorer overall survival rates than those with high miR-153 expression (P=0.003). Multivariate analysis showed that the expression of miR-153 was an independent and significant factor associated with poor OS rates (P=0.002).

conclusionDecreased expression of miR-153 might be a potential unfavorable prognostic factor for patients with NSCLC, and further studies would be needed to prove our findings.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCell DifferentiationChi-Square DistributionDown-RegulationFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLung NeoplasmsLymphatic MetastasisMaleMicroRNAsMiddle AgedMultivariate AnalysisNeoplasm StagingBiomarkers, TumorMicroRNAsMIRN153 microRNA, humanbiomarkermicroRNAmiR-153NSCLCprognosis

Identifiers

PMID26339455
PMCPMC4555783
OpenAlexW2416009159

What OpenQuestion holds

Textmetadata
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.