Evidence map›Paper›PMID 31541491›Full record

ArticleJournal of clinical laboratory analysis2019

Analysis of differential expression profile of miRNA in peripheral blood of patients with lung cancer.

Qingfang He, Yirong Fang, Feng Lu, Jin Pan, Lixin Wang, Weiwei Gong, Fangrong Fei, Jingjie Cui, Jieming Zhong, Ruying Hu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.3field-weighted citation impact, top 12% 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, 45 citations in OpenAlex.

  1. Article
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  4. MicroRNAs in idiopathic childhood nephrotic syndrome.Clinical and experimental nephrology · 2025
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  16. Article
  17. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
  20. Review
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

15 authors at 4 institutions in 2 countries.

Qingfang HeZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.ORCID https://orcid.org/0000-0002-2021-4431
Yirong FangShaoxing Center for Disease Control and Prevention, Shaoxing, China.
Feng LuZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.ORCID https://orcid.org/0000-0002-0185-9445
Jin PanZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Lixin WangZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Weiwei GongZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Fangrong FeiZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Jingjie CuiHangzhou Dianzi University, Hangzhou, China.
Jieming ZhongZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Ruying HuZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Mingbin LiangZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Le FangZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Hao WangZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Min YuZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China.
Zuo-Feng ZhangDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA.
Chinese Center For Disease Control and Prevention · CNHangzhou Dianzi University · CNShaoxing University · CNUniversity of California, Los Angeles · US

Funding

Medical and Health Science Research Fund of Zhejiang Province 2013KYB053Qianjiang Talents Project of Science Technology Department of Zhejiang Province 2013R10078
6 · The paper itself

Abstract

purposeTo identify potential molecular targets for lung cancer intervention and diagnosis, we analyzed the differential miRNA expression of peripheral blood between lung cancer patients and healthy controls.

methodsThree pairs of cases' and controls' peripheral blood samples were evaluated for miRNA expression by microarray. 12 miRNAs were selected for RT-PCR validation and target genes prediction. In addition, 4 miRNAs were selected for future validation by RT-PCR in a large sample of 145 cases and 55 frequency-matched healthy controls.

resultsA total of 338 differentially expressed miRNAs were screened and identified by microarray. According to the fold changes, the top ten upregulated miRNAs were hsa-miR-124-3p, hsa-miR-379-5p, hsa-miR-3655, hsa-miR-450b-5p, hsa-miR-29a-5p, hsa-miR-200a-3p, hsa-miR-542-3p, hsa-miR-138-5p, hsa-miR-219a-2-3p, and hsa-miR-4701-3p, and the top ten downregulated miRNAs were hsa-miR-34c-5p, hsa-miR-135a-5p, hsa-miR-132-3p, hsa-miR-3178, hsa-miR-4449, hsa-miR-4999-3p, hsa-miR-1246, hsa-miR-4424, hsa-miR-1252-5p, and hsa-miR-24-2-5p. RT-PCR verification of the 12 miRNAs revealed that 5 of 8 upregulated miRNAs, 2 of 4 downregulated miRNAs showed a significant difference between the cases and controls (P < .05). A large number of target genes and their functional set showed overlapping among the 453 predicted target genes of the 12 miRNAs (P < .01). RT-PCR in the large sample confirmed the significant differential expression level of hsa-miR-29a-5p, hsa-miR-135a-5p, hsa-miR-542-3p, and hsa-miR-4491 between cases and controls (P < .05), and three of these microRNA, except hsa-miR-29a-5p, were significant after Bonferroni correction for adjustment of multiple comparisons.

conclusionThere was a significant difference in miRNAs expression in the peripheral blood between lung cancer patients and healthy controls, and 4 miRNAs were validated by a large-size sample.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAgedFemaleGene OntologyGene Regulatory NetworksHumansLung NeoplasmsMaleMicroRNAsMiddle AgedReproducibility of ResultsSignal TransductionMicroRNAslung cancermiRNA array chipreal-time fluorescent quantitative PCR (RT-PCR)

Identifiers

PMID31541491
PMCPMC6868404
OpenAlexW2974268373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.