ArticleCancer medicine2022
Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR-103b/877-5p/29c-5p as diagnostic biomarkers for early lung adenocarcinoma.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Diagnostic value of exosomal noncoding RNA in lung cancer: a meta-analysis.Frontiers in oncology · 2024Pooled it
- A Decade-Old Atlas of TMEM (Transmembrane) Protein Family in Lung Cancer: Lessons Learnt and Future Directions.International journal of molecular sciences · 2026Review
- Comprehensive Liquid Biopsy Approaches for the Clinical Management of Lung Cancer Using Multiple Biological Matrices.International journal of molecular sciences · 2025Review
- Exosomes in Clinical Laboratory: From Biomarker Discovery to Diagnostic Implementation.Medicina (Kaunas, Lithuania) · 2025Review
- Transmembrane protein TMEM98 as a multifunctional regulator in cancer: from signaling pathways to translational implications.Journal of translational medicine · 2025Review
- Secreted frizzled-related protein 4 (sFRP4) in cancer - Dual roles in tumorigenesis and therapeutic potential: A review.Biomolecules & biomedicine · 2025Review
- Development of serum glycosylated exosomal microRNAs as biomarkers for early diagnosis of lung adenocarcinoma.Frontiers in medicine · 2025Article
- Review
- Exosomal microRNAs (miRNAs) in blood and urine under physiological conditions: a comparative study.Ewha medical journal · 2024Article
- Hsa_circ_0041150 serves as a novel biomarker for monitoring chemotherapy resistance in small cell lung cancer patients treated with a first-line chemotherapy regimen.Journal of cancer research and clinical oncology · 2023Article
- Preliminary study using a small plasma extracellular vesicle miRNA panel as a potential biomarker for early diagnosis and prognosis in laryngeal cancer.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Identification of hsa-miR-619-5p and hsa-miR-4454 in plasma-derived exosomes as a potential biomarker for lung adenocarcinoma.Frontiers in genetics · 2023Article
- Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR-103b/877-5p/29c-5p as diagnostic biomarkers for early lung adenocarcinoma.Cancer medicine · 2022Article
- Elevated miR-29c-5p Expression in Nipple Aspirate Fluid Is Associated with Extremely High Mammographic Breast Density.Cancers · 2022Article
- Comprehensive Analysis of Circular RNA Expression Profiles in Gefitinib-Resistant Lung Adenocarcinoma Patients.Technology in cancer research & treatmentArticle
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Authors and funding
7 authors at 3 institutions in 1 country.
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Abstract
The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next-generation sequencing (NGS) method. Sequencing results showed that 154 exosomal miRNAs were differentially expressed in the plasma of LUAD patients, among which 68 miRNAs were up-regulated and 86 miRNAs were down-regulated. GSE137140 is a GEO database containing serum miRNAs sequencing data from 1566 lung cancer patients and 1774 non-cancer patients controls. When comparing the sequencing data, it was found that most miRNAs (37/68) up-regulated in our LUAD group were also significantly up-regulated in GSE137140, suggesting that circulating miRNAs in lung cancer patients may be enriched in plasma exosomes. In GSE137140, the AUC of the combination of hsa-miR-103b, hsa-miR-29c-5p and hsa-miR-877-5p was 0.873, showing great potential as new tumor markers. To our knowledge, these three exosomal miRNAs have not been reported in lung cancer research. Furthermore, bioinformatics tools were used to analyze the target genes of three candidate miRNAs, which were indeed closely related to the occurrence and development of lung cancer. Bioinformatics algorithms deduced a highly conserved sequence in the 3'-UTR of SFRP4, FOXM1 and TMEM98 that could be bound with miR-103b/877-5p/29c-5p. A luciferase assay indicated that miR-103b/877-5p/29c-5p directly targeted the 3'-UTR of SFRP4, FOXM1 and TMEM98, respectively. Finally, three candidate miRNAs were validated by qRT-PCR in 17 early LUAD samples and 17 control plasma samples. Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA-related networks in LUAD. Hsa-miR-103b, hsa-miR-29c-5p, and hsa-miR-877-5p may be used as diagnostic biomarkers for early LUAD.
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