Cargando…
A systematic review of proteomic biomarkers in oral squamous cell cancer
BACKGROUND: Head and neck squamous cell cancer (HNSCC) is the most common cancer associated with chewing tobacco, in the world. As this is divided in to sites and subsites, it does not make it to top 10 cancers. The most common subsite is the oral cancer. At the time of diagnosis, more than 50% of p...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555221/ https://www.ncbi.nlm.nih.gov/pubmed/34711249 http://dx.doi.org/10.1186/s12957-021-02423-y |
_version_ | 1784591934620172288 |
---|---|
author | Pillai, Jyotsnaa Chincholkar, Tanvi Dixit, Ruhi Pandey, Manoj |
author_facet | Pillai, Jyotsnaa Chincholkar, Tanvi Dixit, Ruhi Pandey, Manoj |
author_sort | Pillai, Jyotsnaa |
collection | PubMed |
description | BACKGROUND: Head and neck squamous cell cancer (HNSCC) is the most common cancer associated with chewing tobacco, in the world. As this is divided in to sites and subsites, it does not make it to top 10 cancers. The most common subsite is the oral cancer. At the time of diagnosis, more than 50% of patients with oral squamous cell cancers (OSCC) had advanced disease, indicating the lack of availability of early detection and risk assessment biomarkers. The new protein biomarker development and discovery will aid in early diagnosis and treatment which lead to targeted treatment and ultimately a good prognosis. METHODS: This systematic review was performed as per PRISMA guidelines. All relevant studies assessing characteristics of oral cancer and proteomics were considered for analysis. Only human studies published in English were included, and abstracts, incomplete articles, and cell line or animal studies were excluded. RESULTS: A total of 308 articles were found, of which 112 were found to be relevant after exclusion. The present review focuses on techniques of cancer proteomics and discovery of biomarkers using these techniques. The signature of protein expression may be used to predict drug response and clinical course of disease and could be used to individualize therapy with such knowledge. CONCLUSIONS: Prospective use of these markers in the clinical setting will enable early detection, prediction of response to treatment, improvement in treatment selection, and early detection of tumor recurrence for disease monitoring. However, most of these markers for OSCC are yet to be validated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02423-y. |
format | Online Article Text |
id | pubmed-8555221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85552212021-10-29 A systematic review of proteomic biomarkers in oral squamous cell cancer Pillai, Jyotsnaa Chincholkar, Tanvi Dixit, Ruhi Pandey, Manoj World J Surg Oncol Review BACKGROUND: Head and neck squamous cell cancer (HNSCC) is the most common cancer associated with chewing tobacco, in the world. As this is divided in to sites and subsites, it does not make it to top 10 cancers. The most common subsite is the oral cancer. At the time of diagnosis, more than 50% of patients with oral squamous cell cancers (OSCC) had advanced disease, indicating the lack of availability of early detection and risk assessment biomarkers. The new protein biomarker development and discovery will aid in early diagnosis and treatment which lead to targeted treatment and ultimately a good prognosis. METHODS: This systematic review was performed as per PRISMA guidelines. All relevant studies assessing characteristics of oral cancer and proteomics were considered for analysis. Only human studies published in English were included, and abstracts, incomplete articles, and cell line or animal studies were excluded. RESULTS: A total of 308 articles were found, of which 112 were found to be relevant after exclusion. The present review focuses on techniques of cancer proteomics and discovery of biomarkers using these techniques. The signature of protein expression may be used to predict drug response and clinical course of disease and could be used to individualize therapy with such knowledge. CONCLUSIONS: Prospective use of these markers in the clinical setting will enable early detection, prediction of response to treatment, improvement in treatment selection, and early detection of tumor recurrence for disease monitoring. However, most of these markers for OSCC are yet to be validated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-021-02423-y. BioMed Central 2021-10-28 /pmc/articles/PMC8555221/ /pubmed/34711249 http://dx.doi.org/10.1186/s12957-021-02423-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Pillai, Jyotsnaa Chincholkar, Tanvi Dixit, Ruhi Pandey, Manoj A systematic review of proteomic biomarkers in oral squamous cell cancer |
title | A systematic review of proteomic biomarkers in oral squamous cell cancer |
title_full | A systematic review of proteomic biomarkers in oral squamous cell cancer |
title_fullStr | A systematic review of proteomic biomarkers in oral squamous cell cancer |
title_full_unstemmed | A systematic review of proteomic biomarkers in oral squamous cell cancer |
title_short | A systematic review of proteomic biomarkers in oral squamous cell cancer |
title_sort | systematic review of proteomic biomarkers in oral squamous cell cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555221/ https://www.ncbi.nlm.nih.gov/pubmed/34711249 http://dx.doi.org/10.1186/s12957-021-02423-y |
work_keys_str_mv | AT pillaijyotsnaa asystematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT chincholkartanvi asystematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT dixitruhi asystematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT pandeymanoj asystematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT pillaijyotsnaa systematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT chincholkartanvi systematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT dixitruhi systematicreviewofproteomicbiomarkersinoralsquamouscellcancer AT pandeymanoj systematicreviewofproteomicbiomarkersinoralsquamouscellcancer |