PMID- 35909889
OWN - NLM
STAT- MEDLINE
DCOM- 20220802
LR  - 20220802
IS  - 1875-8630 (Electronic)
IS  - 0278-0240 (Print)
IS  - 0278-0240 (Linking)
VI  - 2022
DP  - 2022
TI  - Identification of Critical miRNAs as Novel Diagnostic Markers for Laryngeal 
      Squamous Cell Carcinoma.
PG  - 6858411
LID - 10.1155/2022/6858411 [doi]
LID - 6858411
AB  - The prognosis of laryngeal squamous cell carcinoma (LSCC) patients remains poor, 
      and early diagnosis can distinctly improve the long-term survival of LSCC 
      patients. MicroRNAs (miRs) are a group of endogenous, noncoding, 18-24 nucleotide 
      length single-strand RNAs and have been demonstrated to regulate the expression 
      of many genes, thus modulating various cellular biological processes. In this 
      study, we aimed to identify critical diagnostic miRNAs based on two machine 
      learning algorithms. The GSE133632 dataset was acquired from the Gene Expression 
      Omnibus (GEO) datasets, comprising LSCC tissular samples (57 specimens) and 
      matched neighboring healthy mucosa tissular samples (57 specimens). 
      Differentially expressed miRNAs (DEMs) were screened between 57 LSCC specimens 
      and 57 normal specimens. The LASSO regression model and SVM-RFE analysis were 
      carried out for the identification of critical miRNAs. ROC assays were applied to 
      evaluate discriminatory ability. We identified 32 DEMs between LSCC specimens and 
      normal specimens. Two machine learning algorithms confirmed that hsa-miR-615-3p, 
      hsa-miR-4652-5p, hsa-miR-450a-5p, hsa-miR-196a-5p, hsa-miR-21-3p, hsa-miR-139-5p, 
      and hsa-miR-424-5p were critical diagnostic factors. According to the ROC assays, 
      seven miRNAs had an AUC value of >0.85 for LSCC. Taken together, our findings 
      identified seven critical miRNAs in LSCC patients which can be used to diagnose 
      LSCC patients with high sensitivity and specificity. These results must be 
      verified by large-scale prospective studies.
CI  - Copyright (c) 2022 Kuo Luo et al.
FAU - Luo, Kuo
AU  - Luo K
AD  - Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital, 
      Chongqing 400030, China.
AD  - Department of Oncology, Chongqing Hygeia Hospital, Chongqing 400030, China.
FAU - Zhao, Yanguang
AU  - Zhao Y
AD  - Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital, 
      Chongqing 400030, China.
FAU - Liu, Hong
AU  - Liu H
AD  - Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital, 
      Chongqing 400030, China.
FAU - Mo, Jinhua
AU  - Mo J
AUID- ORCID: 0000-0002-4834-1678
AD  - Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital, 
      Chongqing 400030, China.
LA  - eng
PT  - Journal Article
DEP - 20220720
PL  - United States
TA  - Dis Markers
JT  - Disease markers
JID - 8604127
RN  - 0 (MIRN139 microRNA, human)
RN  - 0 (MicroRNAs)
SB  - IM
MH  - Gene Expression Profiling
MH  - *Head and Neck Neoplasms
MH  - Humans
MH  - *Laryngeal Neoplasms/diagnosis/genetics/pathology
MH  - *MicroRNAs/genetics/metabolism
MH  - Prospective Studies
MH  - Squamous Cell Carcinoma of Head and Neck/diagnosis/genetics
PMC - PMC9329032
COIS- The authors declare no conflicts of interest.
EDAT- 2022/08/02 06:00
MHDA- 2022/08/03 06:00
PMCR- 2022/07/20
CRDT- 2022/08/01 03:21
PHST- 2022/05/30 00:00 [received]
PHST- 2022/07/02 00:00 [revised]
PHST- 2022/07/05 00:00 [accepted]
PHST- 2022/08/01 03:21 [entrez]
PHST- 2022/08/02 06:00 [pubmed]
PHST- 2022/08/03 06:00 [medline]
PHST- 2022/07/20 00:00 [pmc-release]
AID - 10.1155/2022/6858411 [doi]
PST - epublish
SO  - Dis Markers. 2022 Jul 20;2022:6858411. doi: 10.1155/2022/6858411. eCollection 
      2022.