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Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling

BACKGROUND: Bladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic a...

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Autores principales: Tang, Chaozhi, Ma, Jiakang, Liu, Xiuli, Liu, Zhengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594303/
https://www.ncbi.nlm.nih.gov/pubmed/33115513
http://dx.doi.org/10.1186/s13287-020-01973-4
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author Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
author_facet Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
author_sort Tang, Chaozhi
collection PubMed
description BACKGROUND: Bladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic and epigenetic changes that have evolved in stem and progenitor cells. To address this issue, we have developed a novel stem cell typing method. METHODS: Based on six published genomic datasets, we used 26 stem cell gene sets to classify each dataset. Unsupervised and supervised machine learning methods were used to perform the classification. RESULTS: We classified BLCA into three subtypes—high stem cell enrichment (SCE_H), medium stem cell enrichment (SCE_M), and low stem cell enrichment (SCE_L)—based on multiple cross-platform datasets. The stability and reliability of the classification were verified. Compared with the other subtypes, SCE_H had the highest degree of cancer stem cell concentration, highest level of immune cell infiltration, and highest sensitivity not only to predicted anti-PD-1 immunosuppressive therapy but also to conventional chemotherapeutic agents such as cisplatin, sunitinib, and vinblastine; however, this group had the worst prognosis. Comparison of gene set enrichment analysis results for pathway enrichment of various subtypes reveals that the SCE_H subtype activates the important pathways regulating cancer occurrence, development, and even poor prognosis, including epithelial-mesenchymal transition, hypoxia, angiogenesis, KRAS signal upregulation, interleukin 6-mediated JAK-STAT signaling pathway, and inflammatory response. Two identified pairs of transcription factors, GRHL2 and GATA6 and IRF5 and GATA3, possibly have opposite regulatory effects on SCE_H and SCE_L, respectively. CONCLUSIONS: The identification of BLCA subtypes based on cancer stem cell gene sets revealed the complex mechanism of carcinogenesis of BLCA and provides a new direction for the diagnosis and treatment of BLCA.
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spelling pubmed-75943032020-10-30 Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling Tang, Chaozhi Ma, Jiakang Liu, Xiuli Liu, Zhengchun Stem Cell Res Ther Research BACKGROUND: Bladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic and epigenetic changes that have evolved in stem and progenitor cells. To address this issue, we have developed a novel stem cell typing method. METHODS: Based on six published genomic datasets, we used 26 stem cell gene sets to classify each dataset. Unsupervised and supervised machine learning methods were used to perform the classification. RESULTS: We classified BLCA into three subtypes—high stem cell enrichment (SCE_H), medium stem cell enrichment (SCE_M), and low stem cell enrichment (SCE_L)—based on multiple cross-platform datasets. The stability and reliability of the classification were verified. Compared with the other subtypes, SCE_H had the highest degree of cancer stem cell concentration, highest level of immune cell infiltration, and highest sensitivity not only to predicted anti-PD-1 immunosuppressive therapy but also to conventional chemotherapeutic agents such as cisplatin, sunitinib, and vinblastine; however, this group had the worst prognosis. Comparison of gene set enrichment analysis results for pathway enrichment of various subtypes reveals that the SCE_H subtype activates the important pathways regulating cancer occurrence, development, and even poor prognosis, including epithelial-mesenchymal transition, hypoxia, angiogenesis, KRAS signal upregulation, interleukin 6-mediated JAK-STAT signaling pathway, and inflammatory response. Two identified pairs of transcription factors, GRHL2 and GATA6 and IRF5 and GATA3, possibly have opposite regulatory effects on SCE_H and SCE_L, respectively. CONCLUSIONS: The identification of BLCA subtypes based on cancer stem cell gene sets revealed the complex mechanism of carcinogenesis of BLCA and provides a new direction for the diagnosis and treatment of BLCA. BioMed Central 2020-10-28 /pmc/articles/PMC7594303/ /pubmed/33115513 http://dx.doi.org/10.1186/s13287-020-01973-4 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Research
Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title_full Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title_fullStr Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title_full_unstemmed Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title_short Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
title_sort development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594303/
https://www.ncbi.nlm.nih.gov/pubmed/33115513
http://dx.doi.org/10.1186/s13287-020-01973-4
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