[Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer].

A total of 12 differentially expressed miRNAs were identified between the DM and NDM groups, and 8 miRNAs (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) were screened for constructing a miRNA signature. The efficacy of this miRNA signature in predicting DM was good with an area under the curve (AUC) of 0.831. Logistic regression analysis showed that this miRNA signature was an independent risk factor for DM of lung adenocarcinoma. Next, target genes of the eight miRNAs were predicted, and enrichment analysis showed that these target genes were enriched in a variety of pathways, including pathways in cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK pathway, Ras pathway, etc. CONCLUSIONS: This miRNA signature has good efficacy in predicting DM of lung adenocarcinoma and has the potential to be a predictor of DM of lung adenocarcinoma.

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Publication Details

Journal
PubMed
Published
2024-12-20
DOI
https://doi.org/10.3779/j.issn.1009-3419.2024.102.43
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

[Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer].

Hongjie Zhang, Jing Cong, Junjian Pi, Anna Wang et al.
PubMed
Cancer-related molecular mechanisms research
article

[Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer].

Hongjie Zhang, Jing Cong, Junjian Pi, Anna Wang, Kaijing Liu, Hongmei Li, Xinge Li, Yijun Wang, Xiaoyan Yan
article en

Abstract

A total of 12 differentially expressed miRNAs were identified between the DM and NDM groups, and 8 miRNAs (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) were screened for constructing a miRNA signature. The efficacy of this miRNA signature in predicting DM was good with an area under the curve (AUC) of 0.831. Logistic regression analysis showed that this miRNA signature was an independent risk factor for DM of lung adenocarcinoma. Next, target genes of the eight miRNAs were predicted, and enrichment analysis showed that these target genes were enriched in a variety of pathways, including pathways in cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK pathway, Ras pathway, etc. CONCLUSIONS: This miRNA signature has good efficacy in predicting DM of lung adenocarcinoma and has the potential to be a predictor of DM of lung adenocarcinoma.

PubMedVol. 27(12)
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
Good health and well-being
Cancer-related molecular mechanisms research
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