Identification of potential salivary biomarker panels for oral squamous cell carcinoma

Abstract Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide with the maximum number of incidences and deaths reported from India. One of the major causes of poor survival rate associated with OSCC has been attributed to late presentation due to non-availability of a b...

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Autores principales:	Anu Jain, Chinmaya Narayana Kotimoole, Sushmita Ghoshal, Jaimanti Bakshi, Aditi Chatterjee, Thottethodi Subrahmanya Keshava Prasad, Arnab Pal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0784b8a673a14bdfa23d5cac05daf2d9
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spelling	oai:doaj.org-article:0784b8a673a14bdfa23d5cac05daf2d92021-12-02T13:30:34ZIdentification of potential salivary biomarker panels for oral squamous cell carcinoma10.1038/s41598-021-82635-02045-2322https://doaj.org/article/0784b8a673a14bdfa23d5cac05daf2d92021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82635-0https://doaj.org/toc/2045-2322Abstract Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide with the maximum number of incidences and deaths reported from India. One of the major causes of poor survival rate associated with OSCC has been attributed to late presentation due to non-availability of a biomarker. Identification of early diagnostic biomarker will help in reducing the disease morbidity and mortality. We validated 12 salivary proteins using targeted proteomics, identified initially by relative quantification of salivary proteins on LC–MS, in OSCC patients and controls. Salivary AHSG (p = 0.0041) and KRT6C (p = 0.002) were upregulated in OSCC cases and AZGP1 (p ≤ 0.0001*), KLK1 (p = 0.006) and BPIFB2 (p = 0.0061) were downregulated. Regression modelling resulted in a significant risk prediction model (p < 0.0001) consisting of AZGP1, AHSG and KRT6C for which ROC curve had AUC, sensitivity and specificity of 82.4%, 78% and 73.5% respectively for all OSCC cases and 87.9%, 87.5% and 73.5% respectively for late stage (T3/T4) OSCC. AZGP1, AHSG, KRT6C and BPIFB2 together resulted in ROC curve (p < 0.0001) with AUC, sensitivity and specificity of 94%, 100% and 77.6% respectively for N0 cases while KRT6C and AZGP1 for N+ cases with ROC curve (p < 0.0001*) having AUC sensitivity and specificity of 76.8%, 73% and 69.4%. Our data aids in the identification of biomarker panels for the diagnosis of OSCC cases with a differential diagnosis between early and late-stage cases.Anu JainChinmaya Narayana KotimooleSushmita GhoshalJaimanti BakshiAditi ChatterjeeThottethodi Subrahmanya Keshava PrasadArnab PalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anu Jain Chinmaya Narayana Kotimoole Sushmita Ghoshal Jaimanti Bakshi Aditi Chatterjee Thottethodi Subrahmanya Keshava Prasad Arnab Pal Identification of potential salivary biomarker panels for oral squamous cell carcinoma
description	Abstract Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide with the maximum number of incidences and deaths reported from India. One of the major causes of poor survival rate associated with OSCC has been attributed to late presentation due to non-availability of a biomarker. Identification of early diagnostic biomarker will help in reducing the disease morbidity and mortality. We validated 12 salivary proteins using targeted proteomics, identified initially by relative quantification of salivary proteins on LC–MS, in OSCC patients and controls. Salivary AHSG (p = 0.0041) and KRT6C (p = 0.002) were upregulated in OSCC cases and AZGP1 (p ≤ 0.0001*), KLK1 (p = 0.006) and BPIFB2 (p = 0.0061) were downregulated. Regression modelling resulted in a significant risk prediction model (p < 0.0001) consisting of AZGP1, AHSG and KRT6C for which ROC curve had AUC, sensitivity and specificity of 82.4%, 78% and 73.5% respectively for all OSCC cases and 87.9%, 87.5% and 73.5% respectively for late stage (T3/T4) OSCC. AZGP1, AHSG, KRT6C and BPIFB2 together resulted in ROC curve (p < 0.0001) with AUC, sensitivity and specificity of 94%, 100% and 77.6% respectively for N0 cases while KRT6C and AZGP1 for N+ cases with ROC curve (p < 0.0001*) having AUC sensitivity and specificity of 76.8%, 73% and 69.4%. Our data aids in the identification of biomarker panels for the diagnosis of OSCC cases with a differential diagnosis between early and late-stage cases.
format	article
author	Anu Jain Chinmaya Narayana Kotimoole Sushmita Ghoshal Jaimanti Bakshi Aditi Chatterjee Thottethodi Subrahmanya Keshava Prasad Arnab Pal
author_facet	Anu Jain Chinmaya Narayana Kotimoole Sushmita Ghoshal Jaimanti Bakshi Aditi Chatterjee Thottethodi Subrahmanya Keshava Prasad Arnab Pal
author_sort	Anu Jain
title	Identification of potential salivary biomarker panels for oral squamous cell carcinoma
title_short	Identification of potential salivary biomarker panels for oral squamous cell carcinoma
title_full	Identification of potential salivary biomarker panels for oral squamous cell carcinoma
title_fullStr	Identification of potential salivary biomarker panels for oral squamous cell carcinoma
title_full_unstemmed	Identification of potential salivary biomarker panels for oral squamous cell carcinoma
title_sort	identification of potential salivary biomarker panels for oral squamous cell carcinoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0784b8a673a14bdfa23d5cac05daf2d9
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_version_	1718392894730010624

Identification of potential salivary biomarker panels for oral squamous cell carcinoma

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