Evidence map›Paper›PMID 40533790›Full record

ArticleJournal of cardiothoracic surgery2025

microRNA-196b-5p expression in cancer tissues is closely associated with clinical and pathological characteristics and prognosis of patients with non-small cell lung cancer.

Wei Liu, Xiaomin Lu, Changgang Yang, Fengjun Ji, Xiaodan Wu

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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wei LiuDepartment of Thoracic Surgery, Haian People's Hospital, Nantong University, No.17 Zhongba Middle Road, Haian Town, Haian City, Nantong City, Jiangsu Province, China.
Xiaomin LuDepartment of Oncology, Haian People's Hospital Affiliated to Nantong University, No.17 Zhongba Middle Road, Haian Town, Haian City, Nantong City, Jiangsu Province, China.
Changgang YangDepartment of Thoracic Surgery, Haian People's Hospital, Nantong University, No.17 Zhongba Middle Road, Haian Town, Haian City, Nantong City, Jiangsu Province, China.
Fengjun JiDepartment of Thoracic Surgery, Haian People's Hospital, Nantong University, No.17 Zhongba Middle Road, Haian Town, Haian City, Nantong City, Jiangsu Province, China.
Xiaodan WuDepartment of Thoracic Surgery, Nantong Tumor Hospital, No. 48, Qingnian West Road, Chongchuan District, Nantong City, 226006, Jiangsu Province, China. yi123_3@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNon-small cell lung cancer (NSCLC) poses great mortality globally. Aberrant microRNA (miRNA/miR) expression is linked to the progression of many cancers. Herein, this study explored the association of miR-196b-5p in NSCLC tissues with the clinical features and prognosis of patients.

methodsTotally 166 NSCLC patients were retrospectively enrolled. Cancer and normal adjacent tissues (NAT) were attained for miR-196b-5p expression measurement. Clinical baseline data were attained, followed by the analysis of the relation of miR-196b-5p expression with clinical pathological features of NSCLC patients. The 3-year postoperative mortality risk was assessed in NSCLC patients with different miR-196b-5p levels, and independent risk factors (IRFs) for 3-year postoperative mortality were screened using Kaplan-Meier curves and Cox multivariate regression analysis.

resultsmiR-196b-5p levels were higher in cancer tissues than in NAT. Compared with stage I-II patients, miR-196b-5p in cancer tissues was upregulated in stage III patients. Patients with high/low miR-196b-5p expression showed statistically significant differences in age, capsule invasion, lymph node metastasis (LNM), maximum tumor diameter, and clinical staging. The survival and death groups were markedly different regarding age, capsule invasion, LNM, and clinical TNM staging. High miR-196b-5p expression in cancer tissues in NSCLC patients increased 3-year postoperative mortality risk. Age, clinical TNM stage, and miR-196b-5p expression in cancer tissues were IRFs for 3-year postoperative mortality in NSCLC patients.

conclusionHigh miR-196b-5p expression in cancer tissues of NSCLC patients was closely linked to capsule invasion, LNM, maximum tumor diameter, and clinical TNM stage and was an IRF for 3-year postoperative mortality in NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticLung NeoplasmsMicroRNAsAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesBiomarkers, TumorMicroRNAsMIRN196 microRNA, humanClinical and pathological characteristicsCox multivariate regression analysismicroRNA-196b-5pNon-small cell lung cancerPrognosisSurvival analysis

Identifiers

PMID40533790
PMCPMC12177996

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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.