Please use this identifier to cite or link to this item: https://doi.org/10.3390/cancers13225761
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dc.titlePrognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas
dc.contributor.authorBelotti, Yuri
dc.contributor.authorLim, Su Bin
dc.contributor.authorIyer, Narayanan Gopalakrishna
dc.contributor.authorLim, Wan-Teck
dc.contributor.authorLim, Chwee Teck
dc.date.accessioned2022-04-07T06:32:53Z
dc.date.available2022-04-07T06:32:53Z
dc.date.issued2021-11-01
dc.identifier.citationBelotti, Yuri, Lim, Su Bin, Iyer, Narayanan Gopalakrishna, Lim, Wan-Teck, Lim, Chwee Teck (2021-11-01). Prognostic Matrisomal Gene Panel and Its Association with Immune Cell Infiltration in Head and Neck Carcinomas. CANCERS 13 (22). ScholarBank@NUS Repository. https://doi.org/10.3390/cancers13225761
dc.identifier.issn20726694
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/218576
dc.description.abstractSquamous 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 (n = 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.
dc.language.isoen
dc.publisherMDPI
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectOncology
dc.subjectextracellular matrix
dc.subjecthead and neck cancer
dc.subjectbioinformatics
dc.subjectTCGA
dc.subjectHPV
dc.subjectprognostic biomarker
dc.subjectCANCER
dc.subjectEXPRESSION
dc.subjectMACROPHAGES
dc.typeArticle
dc.date.updated2022-04-07T02:22:53Z
dc.contributor.departmentDEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
dc.contributor.departmentBIOMEDICAL ENGINEERING
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.contributor.departmentINST FOR HEALTH INNOVATION & TECHNOLOGY
dc.description.doi10.3390/cancers13225761
dc.description.sourcetitleCANCERS
dc.description.volume13
dc.description.issue22
dc.published.statePublished
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