TY - JOUR
T1 - Increased DSG2 plasmatic levels identified by transcriptomic-based secretome analysis is a potential prognostic biomarker in laryngeal carcinoma
AU - Cury, Sarah Santiloni
AU - Lapa, Rainer Marco Lopez
AU - de Mello, Julia Bette Homem
AU - Marchi, Fábio Albuquerque
AU - Domingues, Maria Aparecida Custódio
AU - Pinto, Clóvis Antonio Lopes
AU - Carvalho, Robson Francisco
AU - de Carvalho, Genival Barbosa
AU - Kowalski, Luiz Paulo
AU - Rogatto, Silvia Regina
PY - 2020/4
Y1 - 2020/4
N2 - Objectives: The tumor secretome deconvolution is a promising strategy to identify diagnostic and prognostic biomarkers. Here, transcriptomic-based secretome analysis was performed aiming to discover laryngeal squamous cell carcinomas (LSCC) biomarkers from potentially secreted proteins (PSPs). Material and Methods: The tumor expression profile (35 LSCC biopsies compared with surrounding normal tissues - SN) revealed 589 overexpressed genes. This gene list was used for secretome analysis based on laryngeal tumors and related secretome databases. Results: Forty-nine (Laryngeal tumor secretome database) and 50 (Human Protein Atlas and Cancer Secretome Database) PSPs presented an association with worse overall survival. Specifically, DSG2 overexpression was strongly correlated with poor survival and distant metastasis. DSG2 increased expression was confirmed in the LSCC dataset (LSCC = 111; SN = 12) from TCGA. A significant association between shorter survival and DSG2 overexpression was also detected. In an independent cohort of cases, we analyzed and confirmed high protein levels of DSG2 in plasma from LSCC patients. Conclusion: A set of PSPs including the circulating DSG2, were associated with shorter overall survival in LSCC. DSG2 overexpression was also correlated with distant metastasis. The high plasmatic protein levels of DSG2 suggest its potential to be tested in liquid biopsies and applied as prognostic biomarker of LSCC.
AB - Objectives: The tumor secretome deconvolution is a promising strategy to identify diagnostic and prognostic biomarkers. Here, transcriptomic-based secretome analysis was performed aiming to discover laryngeal squamous cell carcinomas (LSCC) biomarkers from potentially secreted proteins (PSPs). Material and Methods: The tumor expression profile (35 LSCC biopsies compared with surrounding normal tissues - SN) revealed 589 overexpressed genes. This gene list was used for secretome analysis based on laryngeal tumors and related secretome databases. Results: Forty-nine (Laryngeal tumor secretome database) and 50 (Human Protein Atlas and Cancer Secretome Database) PSPs presented an association with worse overall survival. Specifically, DSG2 overexpression was strongly correlated with poor survival and distant metastasis. DSG2 increased expression was confirmed in the LSCC dataset (LSCC = 111; SN = 12) from TCGA. A significant association between shorter survival and DSG2 overexpression was also detected. In an independent cohort of cases, we analyzed and confirmed high protein levels of DSG2 in plasma from LSCC patients. Conclusion: A set of PSPs including the circulating DSG2, were associated with shorter overall survival in LSCC. DSG2 overexpression was also correlated with distant metastasis. The high plasmatic protein levels of DSG2 suggest its potential to be tested in liquid biopsies and applied as prognostic biomarker of LSCC.
KW - Biomarker
KW - Laryngeal squamous cell carcinoma
KW - Liquid biopsy
KW - Secretome
KW - Transcriptome
U2 - 10.1016/j.oraloncology.2020.104592
DO - 10.1016/j.oraloncology.2020.104592
M3 - Journal article
C2 - 32087405
AN - SCOPUS:85079538957
SN - 1368-8375
VL - 103
JO - Oral Oncology
JF - Oral Oncology
M1 - 104592
ER -