Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas

Squamous cell carcinoma of the head and neck (SCCHN) is common worldwide and related to several risk factors including smoking, alcohol consumption, poor dentition and human papillomavirus (HPV) infection. Different etiological factors may influence the tumor microenvironment and play a role in dict...

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Autores principales: Yuri Belotti, Su Bin Lim, Narayanan Gopalakrishna Iyer, Wan-Teck Lim, Chwee Teck Lim
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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HPV
Acceso en línea:https://doaj.org/article/bb1532e635c5423f9e54435788fda483
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spelling oai:doaj.org-article:bb1532e635c5423f9e54435788fda4832021-11-25T17:03:38ZPrognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas10.3390/cancers132257612072-6694https://doaj.org/article/bb1532e635c5423f9e54435788fda4832021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5761https://doaj.org/toc/2072-6694Squamous cell carcinoma of the head and neck (SCCHN) is common worldwide and related to several risk factors including smoking, alcohol consumption, poor dentition and human papillomavirus (HPV) infection. Different etiological factors may influence the tumor microenvironment and play a role in dictating response to therapeutics. Here, we sought to investigate whether an early-stage SCCHN-specific prognostic matrisome-derived gene signature could be identified for HPV-negative SCCHN patients (<i>n</i> = 168), by applying a bioinformatics pipeline to the publicly available SCCHN-TCGA dataset. We identified six matrisome-derived genes with high association with prognostic outcomes in SCCHN. A six-gene risk score, the SCCHN TMI (SCCHN-tumor matrisome index: composed of MASP1, EGFL6, SFRP5, SPP1, MMP8 and P4HA1) was constructed and used to stratify patients into risk groups. Using machine learning-based deconvolution methods, we found that the risk groups were characterized by a differing abundance of infiltrating immune cells. This work highlights the key role of immune infiltration cells in the overall survival of patients affected by HPV-negative SCCHN. The identified SCCHN TMI represents a genomic tool that could potentially aid patient stratification and selection for therapy in these patients.Yuri BelottiSu Bin LimNarayanan Gopalakrishna IyerWan-Teck LimChwee Teck LimMDPI AGarticleextracellular matrixhead and neck cancerbioinformaticsTCGAHPVprognostic biomarkerNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5761, p 5761 (2021)
institution DOAJ
collection DOAJ
language EN
topic extracellular matrix
head and neck cancer
bioinformatics
TCGA
HPV
prognostic biomarker
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle extracellular matrix
head and neck cancer
bioinformatics
TCGA
HPV
prognostic biomarker
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Yuri Belotti
Su Bin Lim
Narayanan Gopalakrishna Iyer
Wan-Teck Lim
Chwee Teck Lim
Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
description Squamous cell carcinoma of the head and neck (SCCHN) is common worldwide and related to several risk factors including smoking, alcohol consumption, poor dentition and human papillomavirus (HPV) infection. Different etiological factors may influence the tumor microenvironment and play a role in dictating response to therapeutics. Here, we sought to investigate whether an early-stage SCCHN-specific prognostic matrisome-derived gene signature could be identified for HPV-negative SCCHN patients (<i>n</i> = 168), by applying a bioinformatics pipeline to the publicly available SCCHN-TCGA dataset. We identified six matrisome-derived genes with high association with prognostic outcomes in SCCHN. A six-gene risk score, the SCCHN TMI (SCCHN-tumor matrisome index: composed of MASP1, EGFL6, SFRP5, SPP1, MMP8 and P4HA1) was constructed and used to stratify patients into risk groups. Using machine learning-based deconvolution methods, we found that the risk groups were characterized by a differing abundance of infiltrating immune cells. This work highlights the key role of immune infiltration cells in the overall survival of patients affected by HPV-negative SCCHN. The identified SCCHN TMI represents a genomic tool that could potentially aid patient stratification and selection for therapy in these patients.
format article
author Yuri Belotti
Su Bin Lim
Narayanan Gopalakrishna Iyer
Wan-Teck Lim
Chwee Teck Lim
author_facet Yuri Belotti
Su Bin Lim
Narayanan Gopalakrishna Iyer
Wan-Teck Lim
Chwee Teck Lim
author_sort Yuri Belotti
title Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
title_short Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
title_full Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
title_fullStr Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
title_full_unstemmed Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
title_sort prognostic matrisomal gene panel and its association with immune cell infiltration in head and neck carcinomas
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/bb1532e635c5423f9e54435788fda483
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AT narayanangopalakrishnaiyer prognosticmatrisomalgenepanelanditsassociationwithimmunecellinfiltrationinheadandneckcarcinomas
AT wantecklim prognosticmatrisomalgenepanelanditsassociationwithimmunecellinfiltrationinheadandneckcarcinomas
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