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ArticleCurrent medicinal chemistry2024

Identification of an Exosome-relevant SNHG6-hsa-miR-429- CHRDL1/CCNA2 Axis for Lung Adenocarcinoma Prognosis Evaluation.

Yuan Yuan, Qian Li, Feifei Chen, Yujie Zhao, Jiyong Ma, Surong Fang

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Article in Current medicinal chemistry, 2024. 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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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuan YuanDepartment of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Qian LiDepartment of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Feifei ChenDepartment of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Yujie ZhaoRegional Marketing Department, Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd, Shenzhen, 518000, China.
Jiyong MaDepartment of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Surong FangDepartment of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore an exosome-relevant molecular classification in lung adenocarcinoma (LUAD).

backgroundExosome genes or relevant non-coding RNAs are regulators of cancer treatment and prognosis, but their function in LUAD has not yet been determined.

objectiveUnraveling a molecular classification applying exosome-related RNA networks for LUAD prognosis evaluation.

methodsMicroRNA sequencing data (miRNAs-seq) and RNA sequencing data (RNA- seq) were derived from The Cancer Genome Atlas (TCGA). The ConsensusCluster- Plus package was used for molecular typing in LUAD based on 121 Exosome-related genes. Then, a limma package was conducted to explore differentially expressed mRNAs (DEmRNAs), differentially expressed miRNAs (DEmiRNAs) and differentially expressed lncRNAs (DElncRNAs) in molecular typing for constructing an Exosome-driven competing endogenous RNA network (ceRNA). Dominant miRNAs, as well as target mRNAs, were identified by COX modeling and Kaplan-Meier survival analysis.

resultsTwo Exosome-associated molecular clusters classified in LUAD. The C2 cluster favored high clinicopathology and showed a trend toward poor prognosis. 29 lncRNA- miRNA and 12 miRNA-mRNA interaction pairs were identified. The hsa-miR-429 was the pivotal miRNA in the network that affected the prognosis of LUAD. According to the interaction relationship and LUAD prognostic role, SNHG6-hsa- miR-429-CHRDL1/CCNA2 was identified. SNHG6-hsa-miR-429-CHRDL1 exerts oncogenic effects, and SNHG6-hsa-miR-429- CCNA2 exerts pro-oncogenic effects.

conclusionOverall, our study identified an Exosome-driven ceRNA network in LUAD, and the SNHG6-hsa-miR-429-CHRDL1/CCNA2 axis could be a new therapeutic target for LUAD and our study provides new insights into the molecular mechanisms of LUAD.

Indexed as

Adenocarcinoma of LungExosomesLung NeoplasmsMicroRNAsRNA, Long NoncodingCyclin A2Gene Expression Regulation, NeoplasticHumansPrognosisCCNA2 protein, humanCyclin A2long non-coding RNA SNHG6, humanMicroRNAsRNA, Long NoncodingCCNA2.ceRNAsCHRDL1exosomehsa-miR-429Lung adenocarcinoma

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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.