Evidence map›Paper›PMID 39794840›Full record

ArticleJournal of cardiothoracic surgery2025

Abnormal expression of miR-668-3p in non-small cell lung cancer patients and its correlation with serum-related tumor markers.

Wen Yang, Ling Liu, Jianliang Li, Yingchao Liu, Lin Rong, Junjie Ma, Rongchen Li, Qiuyue Zhang, Yugang Liu

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

9 authors.

Wen Yang *Department of Pathology, Guangdong Provincial Key Laboratory of Major Obstetric Disease, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Ling Liu *Department of Pulmonary and Critical Care Medicine, Chongqing Southwest Aluminum Hospital, Chongqing, 401326, China.
Jianliang LiDepartment of Thoracic Surgery, The Second People's Hospital of Liaocheng, Linqing, 252600, China.
Yingchao LiuDepartment of Clinical Laboratory, The Second People's Hospital of Liaocheng, No. 306, Health Street, Linqing, Shandong Province, 252600, China.
Lin RongDepartment of Thoracic Surgery, The Second People's Hospital of Liaocheng, Linqing, 252600, China.
Junjie MaDepartment of Thoracic Surgery, The Second People's Hospital of Liaocheng, Linqing, 252600, China.
Rongchen LiDepartment of Clinical Laboratory, The Second People's Hospital of Liaocheng, No. 306, Health Street, Linqing, Shandong Province, 252600, China.
Qiuyue ZhangDepartment of Clinical Laboratory, The Second People's Hospital of Liaocheng, No. 306, Health Street, Linqing, Shandong Province, 252600, China. lczhangqiuyue@163.com.
Yugang LiuDepartment of Oncology, The 969th Hospital of the PLA joint Logistics Support Force, No. 57, Aimin Street, Xincheng District, Hohhot City, Inner Mongolia Autonomous Region, 010051, China. lygtongtong@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy and reliability of identified biomarkers in differentiating early non-small cell lung cancer (NSCLC) remain suboptimal, thereby impeding the timely detection of NSCLC.The objective of this research is to examine the expression level and diagnostic utility of miR-668-3p in individuals with NSCLC, along with its effectiveness and predictive capacity in the combined diagnosis of early-stage NSCLC using serum markers.

methodsThe research included 117 NSCLC patients and 101 pulmonary nodule patients (controls). Quantitative PCR was employed to assess the expression levels of miR-668-3p in NSCLC patients. The association between miR-668-3p and clinical characteristics and serum biomarker (AFP, CEA, NSE, and CYFRA21-1) levels in NSCLC patients was examined using chi-square tests and Pearson correlation analyses. The ROC curve analysis was conducted to determine the individual and combined diagnostic efficacy of miR-668-3p and serum biomarkers. Additionally, a logistic regression model was utilized to identify risk factors for lung cancer in patients with pulmonary tuberculosis.

resultsThe expression level of miR-668-3p was down-regulated in early-stage NSCLC patients compared with the control group, and showed a significant association with serum biomarkers related with disease progression, tumor staging, and lymph node metastasis. The combined detection of miR-668-3p and serum markers demonstrated robust diagnostic efficacy for early NSCLC and effective predictive capabilities for lung cancer occurrence in individuals with pulmonary nodules.

conclusionsThe miR-668-3p has the potential to be a promising biomarker for NSCLC and enhance the accuracy of early NSCLC clinical detection.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticLung NeoplasmsMicroRNAsAgedFemaleHumansMaleMiddle AgedNeoplasm StagingROC CurveBiomarkers, TumorMicroRNAsCombined detectionDiagnosticmiRNANon-small cell lung cancerTumor marker

Identifiers

PMID39794840
PMCPMC11724551

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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.