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Plasma extracellular vesicle microRNA-491-5p as diagnostic and prognostic marker for head and neck squamous cell carcinoma.
Panvongsa, Wittaya; Siripoon, Teerada; Worakitchanon, Wittawin; Arsa, Lalida; Trachu, Narumol; Jinawath, Natini; Ngamphaiboon, Nuttapong; Chairoungdua, Arthit.
Affiliation
  • Panvongsa W; Toxicology Graduate Program, Faculty of Science, Mahidol University, Bangkok, Thailand.
  • Siripoon T; Excellent Center for Drug Discovery (ECDD), Mahidol University, Bangkok, Thailand.
  • Worakitchanon W; Division of Medical Oncology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Arsa L; Excellent Center for Drug Discovery (ECDD), Mahidol University, Bangkok, Thailand.
  • Trachu N; Department of Physiology, Faculty of Science, Mahidol University, Bangkok, Thailand.
  • Jinawath N; Molecular Histopathology Laboratory, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Ngamphaiboon N; Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Chairoungdua A; Program in Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Cancer Sci ; 112(10): 4257-4269, 2021 Oct.
Article in En | MEDLINE | ID: mdl-34273216
ABSTRACT
Poor survival of patients with locally advanced head and neck squamous cell carcinoma (LA-HNSCC) is partly due to early diagnosis difficulties and the lack of reliable biomarkers for predicting treatment outcomes. In the discovery cohort, plasma-derived extracellular vesicles (EVs) from LA-HNSCC patients (n = 48) and healthy volunteers (n = 12) were used for profiling for microRNA (miRNA) expression by NanoString analysis. Ten EV-associated miRNAs were differentially expressed between LA-HNSCC patients and healthy volunteers. Subsequently, the results were validated in the individual discovery and additional cases (HNSCC, n = 73; control, n = 20) by quantitative RT-PCR. Among 10 EV-miRNAs, four (miR-27b-3p, miR-491-5p, miR-1910-5p, and miR-630) were significantly dysregulated in LA-HNSCC patients (n = 73) compared with healthy volunteers (n = 20). The miRNA prediction models were developed to discriminate HNSCC patients from healthy volunteers. The model using miR-491-5p was selected as a diagnostic biomarker for LA-HNSCC with a sensitivity and specificity of 46.6% and 100%, respectively (P < .001). The dynamic changes of miRNA model score (ΔmiRNAs) were determined using scores pre- and postdefinitive treatment to further investigate the prognostic value of miRNA prediction models. The univariate and multivariate analyses indicated that ΔmiR-491-5p was the most powerful and independent prognostic indicator for overall survival (hazard ratio [HR] 5.66, 95% confidence interval, 1.77-18.01; P = .003) and disease-free survival (HR 2.82, 95% CI, 1.13-7.05; P = .027) of HNSCC patients. In summary, the miR-491-5p prediction model could serve as a blood-based diagnostic marker for LA-HNSCC. Moreover, ΔmiR-491-5p could be a potential monitoring prognostic marker to reflect the survival of HNSCC patients.
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Full text: 1 Collection: 01-internacional Health context: 6_ODS3_enfermedades_notrasmisibles Database: MEDLINE Main subject: MicroRNAs / Extracellular Vesicles / Squamous Cell Carcinoma of Head and Neck / Head and Neck Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Sci Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Health context: 6_ODS3_enfermedades_notrasmisibles Database: MEDLINE Main subject: MicroRNAs / Extracellular Vesicles / Squamous Cell Carcinoma of Head and Neck / Head and Neck Neoplasms Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Sci Year: 2021 Document type: Article