Cargando…
Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma
The efficacy of the first-line treatment for hypopharyngeal carcinoma (HPC), a predominantly male cancer, at advanced stage is only about 50% without reliable molecular indicators for its prognosis. In this study, HPC biopsy samples collected before and after the first-line treatment are classified...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020474/ https://www.ncbi.nlm.nih.gov/pubmed/36928331 http://dx.doi.org/10.1038/s41467-023-37159-8 |
_version_ | 1784908264124710912 |
---|---|
author | Zhang, Yang Liu, Gan Tao, Minzhen Ning, Hui Guo, Wei Yin, Gaofei Gao, Wen Feng, Lifei Gu, Jin Xie, Zhen Huang, Zhigang |
author_facet | Zhang, Yang Liu, Gan Tao, Minzhen Ning, Hui Guo, Wei Yin, Gaofei Gao, Wen Feng, Lifei Gu, Jin Xie, Zhen Huang, Zhigang |
author_sort | Zhang, Yang |
collection | PubMed |
description | The efficacy of the first-line treatment for hypopharyngeal carcinoma (HPC), a predominantly male cancer, at advanced stage is only about 50% without reliable molecular indicators for its prognosis. In this study, HPC biopsy samples collected before and after the first-line treatment are classified into different groups according to treatment responses. We analyze the changes of HPC tumor microenvironment (TME) at the single-cell level in response to the treatment and identify three gene modules associated with advanced HPC prognosis. We estimate cell constitutions based on bulk RNA-seq of our HPC samples and build a binary classifier model based on non-malignant cell subtype abundance in TME, which can be used to accurately identify treatment-resistant advanced HPC patients in time and enlarge the possibility to preserve their laryngeal function. In summary, we provide a useful approach to identify gene modules and a classifier model as reliable indicators to predict treatment responses in HPC. |
format | Online Article Text |
id | pubmed-10020474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100204742023-03-18 Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma Zhang, Yang Liu, Gan Tao, Minzhen Ning, Hui Guo, Wei Yin, Gaofei Gao, Wen Feng, Lifei Gu, Jin Xie, Zhen Huang, Zhigang Nat Commun Article The efficacy of the first-line treatment for hypopharyngeal carcinoma (HPC), a predominantly male cancer, at advanced stage is only about 50% without reliable molecular indicators for its prognosis. In this study, HPC biopsy samples collected before and after the first-line treatment are classified into different groups according to treatment responses. We analyze the changes of HPC tumor microenvironment (TME) at the single-cell level in response to the treatment and identify three gene modules associated with advanced HPC prognosis. We estimate cell constitutions based on bulk RNA-seq of our HPC samples and build a binary classifier model based on non-malignant cell subtype abundance in TME, which can be used to accurately identify treatment-resistant advanced HPC patients in time and enlarge the possibility to preserve their laryngeal function. In summary, we provide a useful approach to identify gene modules and a classifier model as reliable indicators to predict treatment responses in HPC. Nature Publishing Group UK 2023-03-16 /pmc/articles/PMC10020474/ /pubmed/36928331 http://dx.doi.org/10.1038/s41467-023-37159-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Yang Liu, Gan Tao, Minzhen Ning, Hui Guo, Wei Yin, Gaofei Gao, Wen Feng, Lifei Gu, Jin Xie, Zhen Huang, Zhigang Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title | Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title_full | Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title_fullStr | Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title_full_unstemmed | Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title_short | Integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
title_sort | integrated transcriptome study of the tumor microenvironment for treatment response prediction in male predominant hypopharyngeal carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020474/ https://www.ncbi.nlm.nih.gov/pubmed/36928331 http://dx.doi.org/10.1038/s41467-023-37159-8 |
work_keys_str_mv | AT zhangyang integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT liugan integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT taominzhen integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT ninghui integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT guowei integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT yingaofei integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT gaowen integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT fenglifei integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT gujin integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT xiezhen integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma AT huangzhigang integratedtranscriptomestudyofthetumormicroenvironmentfortreatmentresponsepredictioninmalepredominanthypopharyngealcarcinoma |