Evidence map›Paper›PMID 33243735›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2020

[Expression of CDC25A in non-small cell lung cancer and its relationship with let-7 gene].

Dianming Li, Zhaofei Liu, Guolan Ning

Open access · greenAbstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 1 country.

Dianming LiDepartment of Respiratory and Critical Medicine, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Zhaofei LiuDepartment of Respiratory Medicine, Linquan County People's Hospital, Linquan 236400, China.
Guolan NingDepartment of Respiratory and Critical Care Medicine, Fuyang Second People's Hospital, Fuyang 236000, China.
First Affiliated Hospital of Bengbu Medical College · CNFuyang Second People's Hospital · CNThe People's Hospital of LinXia · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the expression of CDC25A in non- small cell lung cancer (NSCLC) tissues and explore its correlation with the clinicpathological features of the patients and the expressions of let-7a1 and let-7c.

methodsWe collected surgical specimens of pathologically confirmed NSCLC tissues and paired adjacent lung tissues from 44 patients and tissues of benign lung lesions from 9 patients. The expressions of CDC25A protein and mRNA in the tissues were detected by immunohistochemistry and fluorescence quantitative RT-PCR, respectively; the expressions of let-7a1 and let-7c mRNA were detected using tail-adding fluorescence quantitative RT-PCR.

resultsThe positivity rate of CDC25A protein expression was significantly higher in NSCLC tissues than in the adjacent tissues and benign pulmonary lesions (

conclusionsThe expression level of CDC25A is significantly increased in NSCLC with a negative correlation with Let-7c expression, which identifies CDC25A as a possible downstream target gene of Let-7c.

Indexed as

Carcinoma, Non-Small-Cell LungLung Neoplasmscdc25 PhosphatasesGene Expression Regulation, NeoplasticHumansLungLymphatic MetastasisMicroRNAsRNA, MessengerCDC25A protein, humancdc25 PhosphatasesMicroRNAsmirnlet7 microRNA, humanRNA, MessengerCDC25Alet-7microRNAnon-small cell lung cancer

Identifiers

PMID33243735
PMCPMC7704372
OpenAlexW3109405494

What OpenQuestion holds

Textmetadata
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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.