Evidence map›Paper›PMID 27164951›Full record

ArticleJournal of experimental & clinical cancer research : CR2016

MicroRNA-361-3p suppresses tumor cell proliferation and metastasis by directly targeting SH2B1 in NSCLC.

Wei Chen, Jun Wang, Sulai Liu, Shaoqiang Wang, Yuanda Cheng, Wolong Zhou, Chaojun Duan, Chunfang Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 93 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

8 authors at 2 institutions in 1 country.

Wei ChenDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Jun WangKey Laboratory of Cancer Proteomics of Chinese Ministry of Health, Institute of Medical Sciences, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Sulai LiuDepartment of Urology Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Shaoqiang WangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Yuanda ChengDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Wolong ZhouDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Chaojun DuanKey Laboratory of Cancer Proteomics of Chinese Ministry of Health, Institute of Medical Sciences, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China.
Chunfang ZhangDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Xiangya Road 87th, Changsha, 410008, Hunan, PR China. zcf6636169@sina.com.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the most common malignancies worldwide. However, the detailed molecular mechanisms underlying lung cancer progression are still not completely clear. MicroRNAs are small noncoding RNAs which occupy a crucial role of cancer metastasis. Accumulating evidence suggests that miR-361 plays important roles in human carcinogenesis. However, its precise biological role remains largely elusive, especially in lung cancer. This study examined the role of miR-361-3p in non-small cell lung cancer (NSCLC).

methodsReal-time quantitative PCR (qRT-PCR) was used to analyze the expression of miR-361-3p in NSCLC tissue and in compared adjacent non-cancerous tissues. The effect of miR-361-3p on proliferation was evaluated by CCK8 and colony formation assays. The effect of miR-361-3p on migration and invasion was evaluated by transwell assays. Western blotting and immunohistochemical staining were applied to analyze the expression of target proteins and downstream molecule, and the luciferase reporter assay to assess the target genes of miR-361-3p in non-small cell lung cancer cells.

resultsmiR-361-3p was significantly decreased in NSCLC tissue and cell lines, and its expression levels were highly correlated with lymph node metastasis (P < 0.01) and TNM stages (P < 0.05). Down-regulation of miR-361-3p promoted cell growth, proliferation, colony formation, invasion and migration in vitro, and promoted proliferation and metastasis in vivo (P < 0.01); whereas up-regulation of miR-361-3p had the contrary effects. The luciferase reporter assay showed that SH2B1 was a direct target gene of miR-361-3p. Enforced expression of miR-361-3p inhibited the expression of SH2B1 significantly and the restoration of SH2B1 expression reversed the inhibitory effects of miR-361-3p on NSCLC cell proliferation and metastasis.

conclusionsmiR-361-3p functions as a novel tumor suppressor in NSCLC and the anti-oncogenic activity may involve its inhibition of the target gene SH2B1. These findings suggest the possibility for miR-361-3p as a therapeutic target in NSCLC.

Indexed as

3' Untranslated RegionsAdaptor Proteins, Signal TransducingAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiceMicroRNAsNeoplasm MetastasisNeoplasm Transplantation3' Untranslated RegionsAdaptor Proteins, Signal TransducingMicroRNAsMIRN361 microRNA, humanSH2B1 protein, humanmiR-361-3pNSCLCProgressionSH2B1

Identifiers

PMID27164951
PMCPMC4863317
OpenAlexW2366180104

What OpenQuestion holds

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Registered trials

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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.