Evidence map›Paper›PMID 28871425›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2018

miR-33a inhibits cell proliferation and invasion by targeting CAND1 in lung cancer.

M Kang, Y Li, Y Zhao, S He, J Shi

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. The therapeutic potential of RNA m(6)A in lung cancer.Cell communication and signaling : CCS · 2024
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  13. PD-1/PD-L1 pathway: current researches in cancer.American journal of cancer research · 2020
    Review
  14. Article
  15. Article
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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

5 authors at 1 institution in 1 country.

M KangDepartment of Medical Oncology, The Affiliated Hospital of Guilin Medical College, No. 15 Lequn Road, Guilin, 541001, China.
Y LiDepartment of Medical Oncology, The Affiliated Hospital of Guilin Medical College, No. 15 Lequn Road, Guilin, 541001, China.
Y ZhaoDepartment of Medical Oncology, The Affiliated Hospital of Guilin Medical College, No. 15 Lequn Road, Guilin, 541001, China.
S HeDepartment of Medical Oncology, The Affiliated Hospital of Guilin Medical College, No. 15 Lequn Road, Guilin, 541001, China. Heshaozhong8@126.com.
J ShiDepartment of Medical Oncology, The Affiliated Hospital of Guilin Medical College, No. 15 Lequn Road, Guilin, 541001, China. 23942982@qq.com.ORCID http://orcid.org/0000-0001-5226-6968
Affiliated Hospital of Guilin Medical College · CN

Funding

Guilin science and technology project 20150126-1-2
6 · The paper itself

Abstract

backgroundLung cancer continues to be one of the top five causes of cancer-related mortality. This study aims to identify down- and upregulated miRNAs and mRNA which can be used as potential biomarkers and/or therapeutic targets for lung cancer.

methodsIntegrated analysis of differential expression profiles of miRNA and mRNA in lung cancer was performed by searching Gene Expression Omnibus datasets. Based on miRNA expression profiles, direct mRNA targets of miRNAs with experimental support were identified through miRTarBase. The levels of representative miRNAs and mRNAs were confirmed through qualitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR).

resultsThe miR-33a was decreased in non-small cell lung cancer (NSCLC) tissues compared with the para-carcinoma tissues, whereas its target mRNA of cullin-associated NEDD8-dissociated protein 1 (CAND1) was increased in NSCLC tissues. Further research has shown that miR-33a can inhibit lung cancer cell proliferation, cell cycle progression, and migration by targeting CAND1. Moreover, the CAND1 knockout lung cancer cells showed similar results as cells transfected with miR-33a mimic.

conclusionsThese results suggested that the data mining based on online databases was an effective method in finding novel target in cancer research, and the miR-33a and CAND1 played an important role in lung cancer proliferation and cell migration.

Indexed as

Cell ProliferationBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell MovementData MiningGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedNeoplasm InvasivenessTranscription FactorsBiomarkers, TumorCAND1 protein, humanMicroRNAsMIRN33a microRNA, humanTranscription FactorsCAND1Data miningLung cancermiR-33a

Identifiers

PMID28871425
OpenAlexW2753848210

What OpenQuestion holds

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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.