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Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue

The 5-year survival rate for patients with oral squamous cell carcinomas (SCC), including tongue SCC, has not significantly improved over the last several decades. Oral potentially malignant disorders (OPMD), including oral dysplasias, are oral epithelial disorders that can develop into oral SCCs. T...

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Autores principales: Zhang, Tuo, Kutler, David, Scognamiglio, Theresa, Gudas, Lorraine J., Tang, Xiao-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950315/
https://www.ncbi.nlm.nih.gov/pubmed/36820942
http://dx.doi.org/10.1007/s12672-023-00629-y
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author Zhang, Tuo
Kutler, David
Scognamiglio, Theresa
Gudas, Lorraine J.
Tang, Xiao-Han
author_facet Zhang, Tuo
Kutler, David
Scognamiglio, Theresa
Gudas, Lorraine J.
Tang, Xiao-Han
author_sort Zhang, Tuo
collection PubMed
description The 5-year survival rate for patients with oral squamous cell carcinomas (SCC), including tongue SCC, has not significantly improved over the last several decades. Oral potentially malignant disorders (OPMD), including oral dysplasias, are oral epithelial disorders that can develop into oral SCCs. To identify molecular characteristics that might predict conversion of OPMDs to SCCs and guide treatment plans, we performed global transcriptomic analysis of human tongue OPMD (n = 9) and tongue SCC (n = 11) samples with paired normal margin tissue from patients treated at Weill Cornell Medicine. Compared to margin tissue, SCCs showed more transcript changes than OPMDs. OPMDs and SCCs shared some altered transcripts, but these changes were generally greater in SCCs than OPMDs. Both OPMDs and SCCs showed altered signaling pathways related to cell migration, basement membrane disruption, and metastasis. We suggest that OPMDs are on the path toward malignant transformation. Based on patterns of gene expression, both OPMD and tongue SCC samples can be categorized into subclasses (mesenchymal, classical, basal, and atypical) similar to those seen in human head and neck SCC (HNSCC). These subclasses of OPMDs have the potential to be used to stratify patient prognoses and therapeutic options for tongue OPMDs. Lastly, we identified a gene set (ELF5; RPTN; IGSF10; CRMP1; HTR3A) whose transcript changes have the power to classify OPMDs and SCCs and developed a Firth logistic regression model using the changes in these transcripts relative to paired normal tissue to validate pathological diagnosis and potentially predict the likelihood of an OPMD developing into SCC, as data sets become available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00629-y.
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spelling pubmed-99503152023-02-25 Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue Zhang, Tuo Kutler, David Scognamiglio, Theresa Gudas, Lorraine J. Tang, Xiao-Han Discov Oncol Research The 5-year survival rate for patients with oral squamous cell carcinomas (SCC), including tongue SCC, has not significantly improved over the last several decades. Oral potentially malignant disorders (OPMD), including oral dysplasias, are oral epithelial disorders that can develop into oral SCCs. To identify molecular characteristics that might predict conversion of OPMDs to SCCs and guide treatment plans, we performed global transcriptomic analysis of human tongue OPMD (n = 9) and tongue SCC (n = 11) samples with paired normal margin tissue from patients treated at Weill Cornell Medicine. Compared to margin tissue, SCCs showed more transcript changes than OPMDs. OPMDs and SCCs shared some altered transcripts, but these changes were generally greater in SCCs than OPMDs. Both OPMDs and SCCs showed altered signaling pathways related to cell migration, basement membrane disruption, and metastasis. We suggest that OPMDs are on the path toward malignant transformation. Based on patterns of gene expression, both OPMD and tongue SCC samples can be categorized into subclasses (mesenchymal, classical, basal, and atypical) similar to those seen in human head and neck SCC (HNSCC). These subclasses of OPMDs have the potential to be used to stratify patient prognoses and therapeutic options for tongue OPMDs. Lastly, we identified a gene set (ELF5; RPTN; IGSF10; CRMP1; HTR3A) whose transcript changes have the power to classify OPMDs and SCCs and developed a Firth logistic regression model using the changes in these transcripts relative to paired normal tissue to validate pathological diagnosis and potentially predict the likelihood of an OPMD developing into SCC, as data sets become available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00629-y. Springer US 2023-02-23 /pmc/articles/PMC9950315/ /pubmed/36820942 http://dx.doi.org/10.1007/s12672-023-00629-y Text en © The Author(s) 2023 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/) .
spellingShingle Research
Zhang, Tuo
Kutler, David
Scognamiglio, Theresa
Gudas, Lorraine J.
Tang, Xiao-Han
Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title_full Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title_fullStr Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title_full_unstemmed Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title_short Transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
title_sort transcriptomic analysis predicts the risk of progression of premalignant lesions in human tongue
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950315/
https://www.ncbi.nlm.nih.gov/pubmed/36820942
http://dx.doi.org/10.1007/s12672-023-00629-y
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