Exosomal microRNA Panels for Detecting Early-Stage Non-Small Cell Lung Cancer

<b>Background</b>: Early diagnosis of lung cancer requires lung nodule biopsies, which can lead to severe complications. This study aimed to identify optimized panels of exosomal microRNAs (miRNAs) for non-invasive diagnosis of early-stage non-small cell lung cancer (NSCLC). <b>Materials and Methods</b>: This study comprised four phases: discovery, validation, optimization, and confirmation. In the discovery phase, next-generation sequencing profiled 2656 exosomal miRNAs in serum samples (<i>n</i> = 76) from patients with benign lung nodules and stage-specific NSCLC. The validation phase used qPCR to analyze selected miRNAs in serum samples (<i>n</i> = 75). The optimization phase employed a self-devised diagnostic platform, the "up-down ratio (UDR)," to identify miRNA panels. The confirmation phase involved miRNA-target gene interaction and enrichment analyses. <b>Results</b>: The discovery phase identified 15 candidate miRNAs, of which six were validated by qPCR: miR-1976, miR-150-5p, miR-301b-3p, miR-369-3p, miR-497-5p, and miR-610. UDR platform identified a panel of four miRNAs optimized for early detection of NSCLC with ROC over 0.93. Bioinformatics analysis revealed 20 target genes, with <i>VEGFA</i>, <i>BCL2</i>, and <i>PTEN</i> showing strong interactions with the miRNAs, particularly with miR-150-5p, miR-205-5p, miR-1976, miR-301b-3p, and miR-497-5p. <b>Conclusions</b>: This four-phase study suggests that exosomal miRNA panels have potential diagnostic value for early-stage lung cancer. The UDR platform enabled the selection of a four-miRNA panel (miR-150-5p, miR-301b-3p, miR-369-3p, and miR-497-5p), with bioinformatics analyses providing supportive evidence.

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Publication Details

Journal
Diagnostics
Published
2025-10-28
DOI
https://doi.org/10.3390/diagnostics15212735
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

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article

Exosomal microRNA Panels for Detecting Early-Stage Non-Small Cell Lung Cancer

Chaeuk Chung, Da Hyun Kang, Hyunmin Cho, Jeong Eun Lee et al.
Diagnostics
Extracellular vesicles in disease
article

Exosomal microRNA Panels for Detecting Early-Stage Non-Small Cell Lung Cancer

Chaeuk Chung, Da Hyun Kang, Hyunmin Cho, Jeong Eun Lee, Young Jun Kim, Yong‐Beom Shin
article en

Abstract

<b>Background</b>: Early diagnosis of lung cancer requires lung nodule biopsies, which can lead to severe complications. This study aimed to identify optimized panels of exosomal microRNAs (miRNAs) for non-invasive diagnosis of early-stage non-small cell lung cancer (NSCLC). <b>Materials and Methods</b>: This study comprised four phases: discovery, validation, optimization, and confirmation. In the discovery phase, next-generation sequencing profiled 2656 exosomal miRNAs in serum samples (<i>n</i> = 76) from patients with benign lung nodules and stage-specific NSCLC. The validation phase used qPCR to analyze selected miRNAs in serum samples (<i>n</i> = 75). The optimization phase employed a self-devised diagnostic platform, the "up-down ratio (UDR)," to identify miRNA panels. The confirmation phase involved miRNA-target gene interaction and enrichment analyses. <b>Results</b>: The discovery phase identified 15 candidate miRNAs, of which six were validated by qPCR: miR-1976, miR-150-5p, miR-301b-3p, miR-369-3p, miR-497-5p, and miR-610. UDR platform identified a panel of four miRNAs optimized for early detection of NSCLC with ROC over 0.93. Bioinformatics analysis revealed 20 target genes, with <i>VEGFA</i>, <i>BCL2</i>, and <i>PTEN</i> showing strong interactions with the miRNAs, particularly with miR-150-5p, miR-205-5p, miR-1976, miR-301b-3p, and miR-497-5p. <b>Conclusions</b>: This four-phase study suggests that exosomal miRNA panels have potential diagnostic value for early-stage lung cancer. The UDR platform enabled the selection of a four-miRNA panel (miR-150-5p, miR-301b-3p, miR-369-3p, and miR-497-5p), with bioinformatics analyses providing supportive evidence.

DiagnosticsVol. 15(21)
Chungnam National University (KR), Guardia Civil (ES), Korea Research Institute of Bioscience and Biotechnology (KR)
Chungnam National University, Chungnam National University Hospital
Openalex Percentile: Top 72%
Extracellular vesicles in disease
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