Evidence map›Paper›PMID 26642205›Full record

ArticlePloS one2015

The Expression of miR-375 Is Associated with Carcinogenesis in Three Subtypes of Lung Cancer.

Yi Jin, Yalan Liu, Jin Zhang, Wei Huang, Hongni Jiang, Yingyong Hou, Chen Xu, Changwen Zhai, Xue Gao, Shuyang Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  9. Non-Coding RNAs as Key Regulators in Lung Cancer.International journal of molecular sciences · 2023
    Review
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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

13 authors at 6 institutions in 1 country.

Yi JinDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, China.
Yalan LiuDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jin ZhangKey Laboratory of Molecular Medicine, Ministry of Education, Institute of Medical Sciences, Department of Biochemistry and Molecular Biology, Shanghai Medical College, Fudan University, Shanghai, China.
Wei HuangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Hongni JiangDepartment of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Yingyong HouDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Chen XuDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Changwen ZhaiDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xue GaoDepartment of Pathology, Huashan Hospital, Fudan University, Shanghai, China.
Shuyang WangDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, China.
Ying WuDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, China.
Hongguang ZhuDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, China.
Shaohua LuDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CNSun Yat-sen University · CNShanghai Medical College of Fudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNTongji University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies demonstrated unique microRNA profiles in lung cancer. Nonetheless, the role and related signal pathways of miR-375 in lung cancer are largely unknown. Our study investigated relationships between carcinogenesis and miR-375 in adenocarcinoma, squamous cell carcinoma and small cell lung carcinoma to identify new molecular targets for treatment. We evaluated 723 microRNAs in microdissected cancerous cells and adjacent normal cells from 126 snap-frozen lung specimens using microarrays. We validated the expression profiles of miR-375 and its 22 putative target mRNAs in an independent cohort of 78 snap-frozen lung cancer tissues using quantitative reverse-transcriptase PCR. Moreover, we performed dual luciferase reporter assay and Western blot on 6 targeted genes (FZD8, ITGA10, ITPKB, LRP5, PIAS1 andRUNX1) in small cell lung carcinoma cell line NCI-H82. We also detected the effect of miR-375 on cell proliferation in NCI-H82. We found that miR-375 expression was significantly up-regulated in adenocarcinoma and small cell lung carcinoma but down-regulated in squamous cell carcinoma. Among the 22 putative target genes, 11 showed significantly different expression levels in at least 2 of 3 pair-wise comparisons (adenocarcinoma vs. normal, squamous cell carcinoma vs. normal or small cell lung carcinoma vs. normal). Six targeted genes had strong negative correlation with the expression level of miR-375 in small cell lung carcinoma. Further investigation revealed that miR-375 directly targeted the 3'UTR of ITPKB mRNA and over-expression of miR-375 led to significantly decreased ITPKB protein level and promoted cell growth. Thus, our study demonstrates the differential expression profiles of miR-375 in 3 subtypes of lung carcinomas and finds thatmiR-375 directly targets ITPKB and promoted cell growth in SCLC cell line.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAgedCarcinoma, Squamous CellFemaleHumansLung NeoplasmsMaleMicroRNAsMiddle AgedNeoplasm ProteinsRNA, NeoplasmSmall Cell Lung CarcinomaMicroRNAsMIRN375 microRNA, humanNeoplasm ProteinsRNA, Neoplasm

Identifiers

PMID26642205
PMCPMC4671676
OpenAlexW2191329868

What OpenQuestion holds

Textmetadata
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.