PMID- 36964893
OWN - NLM
STAT- MEDLINE
DCOM- 20230721
LR  - 20230721
IS  - 2211-3436 (Electronic)
IS  - 2211-3428 (Linking)
VI  - 46
IP  - 4
DP  - 2023 Aug
TI  - Preliminary study using a small plasma extracellular vesicle miRNA panel as a 
      potential biomarker for early diagnosis and prognosis in laryngeal cancer.
PG  - 1015-1030
LID - 10.1007/s13402-023-00792-y [doi]
AB  - PURPOSE: Plasma extracellular vesicle (EV) miRNAs are important biomarkers for 
      body fluid biopsy. The purpose of this study was to screen and construct a plasma 
      small EV (sEV) miRNA panel as a biomarker for diagnosis and prognosis in 
      laryngeal squamous cell carcinoma (LSCC). METHODS: Plasma sEV miRNAs from 6 LSCC 
      patients with three typical anatomical sites and 3 normal controls (NCs) were 
      analyzed by next-generation sequencing. The aberrant expression profile of sEV 
      miRNAs was compared with the online databases of LSCC to construct and verify the 
      diagnostic and prognostic panel by machine learning. Additionally, quantitative 
      real-time polymerase chain reaction (qRT‒PCR) was performed to validate the 
      diagnostic efficacy of the screened miRNAs in an independent clinical cohort. 
      RESULTS: A plasma sEV miRNA panel (consisting of hsa-miR-139-3p, hsa-miR-486-5p, 
      hsa-miR-944, hsa-miR-320b and hsa-miR-455-5p) was successfully constructed for 
      the early diagnosis and prognosis of LSCC and showed good predictive potential 
      with AUCs of 0.782, 1.000, 0.716, and 0.875 by an artificial neural network (ANN) 
      panel in independent datasets. This panel was further validated in an independent 
      cohort consisting of 84 clinical cases (48 LSCC and 36 NCs). In the validation 
      cohort, the AUC of the 5 individual miRNAs ranged from 0.721 to 0.837. The 
      accuracy was further increased by the logistic model, which further increased the 
      AUC to 0.959 by adjusting for the number of miRNAs. The miRNA‒mRNA regulatory 
      network and immune function analysis revealed the possible underlying 
      pathogenesis of LSCC. CONCLUSION: Plasma sEV miRNA panels can be promising plasma 
      biomarkers for predicting early diagnosis and prognosis in LSCC.
CI  - (c) 2023. Springer Nature Switzerland AG.
FAU - Zhang, Haopeng
AU  - Zhang H
AD  - Department of Otolaryngology, Shanghai Municipal Hospital of Traditional Chinese 
      Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
FAU - Chen, Zhengxun
AU  - Chen Z
AD  - Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical 
      Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, 83 
      Fenyang Road, 200031, Shanghai, China.
FAU - Huang, Qiang
AU  - Huang Q
AD  - Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical 
      Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, 83 
      Fenyang Road, 200031, Shanghai, China.
FAU - Guo, Yang
AU  - Guo Y
AD  - Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical 
      Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, 83 
      Fenyang Road, 200031, Shanghai, China.
FAU - Wang, Mei
AU  - Wang M
AD  - Department of Otolaryngology, Shanghai Municipal Hospital of Traditional Chinese 
      Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China. 
      wangmeient@163.com.
FAU - Wu, Chunping
AU  - Wu C
AUID- ORCID: 0000-0002-0712-8715
AD  - Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Clinical 
      Disciplines of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, 83 
      Fenyang Road, 200031, Shanghai, China. wcpeent@163.com.
LA  - eng
PT  - Journal Article
DEP - 20230325
PL  - Netherlands
TA  - Cell Oncol (Dordr)
JT  - Cellular oncology (Dordrecht)
JID - 101552938
RN  - 0 (Biomarkers, Tumor)
RN  - 0 (MicroRNAs)
RN  - 0 (MIRN139 microRNA, human)
RN  - 0 (MIRN455 microRNA, human)
RN  - 0 (MIRN-944 microRNA, human)
SB  - IM
MH  - Humans
MH  - *Laryngeal Neoplasms/diagnosis/genetics/pathology
MH  - Biomarkers, Tumor/genetics
MH  - Gene Expression Profiling
MH  - *Carcinoma, Squamous Cell/diagnosis/genetics/pathology
MH  - Gene Expression Regulation, Neoplastic
MH  - Early Detection of Cancer
MH  - *MicroRNAs/metabolism
MH  - Squamous Cell Carcinoma of Head and Neck/genetics
MH  - *Extracellular Vesicles/genetics
MH  - *Head and Neck Neoplasms/genetics
OTO - NOTNLM
OT  - Diagnosis
OT  - Extracellular vesicles
OT  - Laryngeal squamous cell carcinoma
OT  - Prognosis
OT  - miRNAs
EDAT- 2023/03/26 06:00
MHDA- 2023/07/21 06:42
CRDT- 2023/03/25 12:19
PHST- 2023/02/26 00:00 [accepted]
PHST- 2023/07/21 06:42 [medline]
PHST- 2023/03/26 06:00 [pubmed]
PHST- 2023/03/25 12:19 [entrez]
AID - 10.1007/s13402-023-00792-y [pii]
AID - 10.1007/s13402-023-00792-y [doi]
PST - ppublish
SO  - Cell Oncol (Dordr). 2023 Aug;46(4):1015-1030. doi: 10.1007/s13402-023-00792-y. 
      Epub 2023 Mar 25.