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TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study

Background: The tumor suppressor gene TP53 is frequently mutated or inactivated in bladder cancer (BLCA), which is implicated in the pathogenesis of tumor. However, the cellular mechanisms of TP53 mutations are complicated, yet well-defined, but their clinical prognostic value in the management of B...

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Autores principales: Tao, Yuting, Li, Xia, Zhang, Yushan, He, Liangyu, Lu, Qinchen, Wang, Yaobang, Pan, Lixin, Wang, Zhenxing, Feng, Chao, Xie, Yuanliang, Lai, Zhiyong, Li, Tianyu, Tang, Zhong, Wang, Qiuyan, Wang, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780475/
https://www.ncbi.nlm.nih.gov/pubmed/36568387
http://dx.doi.org/10.3389/fgene.2022.1057302
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author Tao, Yuting
Li, Xia
Zhang, Yushan
He, Liangyu
Lu, Qinchen
Wang, Yaobang
Pan, Lixin
Wang, Zhenxing
Feng, Chao
Xie, Yuanliang
Lai, Zhiyong
Li, Tianyu
Tang, Zhong
Wang, Qiuyan
Wang, Xi
author_facet Tao, Yuting
Li, Xia
Zhang, Yushan
He, Liangyu
Lu, Qinchen
Wang, Yaobang
Pan, Lixin
Wang, Zhenxing
Feng, Chao
Xie, Yuanliang
Lai, Zhiyong
Li, Tianyu
Tang, Zhong
Wang, Qiuyan
Wang, Xi
author_sort Tao, Yuting
collection PubMed
description Background: The tumor suppressor gene TP53 is frequently mutated or inactivated in bladder cancer (BLCA), which is implicated in the pathogenesis of tumor. However, the cellular mechanisms of TP53 mutations are complicated, yet well-defined, but their clinical prognostic value in the management of BLCA remains controversial. This study aimed to explore the role of TP53 mutation in regulating the tumor microenvironment (TME), elucidate the effects of TP53 activity on BLCA prognosis and immunotherapy response. Methods: A TP53-related signature based on TP53-induced and TP53-repressed genes was used to construct a TP53 activity-related score and classifier. The abundance of different immune cell types was determined using CIBERSORT to estimate immune cell infiltration. Moreover, the heterogeneity of the tumor immune microenvironment between the high and low TP53 score groups was further evaluated using single-cell mass cytometry (CyTOF) and imaging mass cytometry (IMC). Moreover, pathway enrichment analysis was performed to explore the differential biological functions between tumor epithelial cells with high and low TP53 activity scores. Finally, the receptor–ligand interactions between immune cells and tumor epithelial cells harboring distinct TP53 activity were analyzed by single-cell RNA-sequencing. Results: The TP53 activity-related gene signature differentiated well between TP53 functional retention and inactivation in BLCA. BLCA patients with low TP53 scores had worse survival prognosis, more TP53 mutations, higher grade, and stronger lymph node metastasis than those with high TP53 scores. Additionally, CyTOF and IMC analyses revealed that BLCA patients with low TP53 scores exhibited a potent immunosuppressive TME. Consistently, single-cell sequencing results showed that tumor epithelial cells with low TP53 scores were significantly associated with high cell proliferation and stemness abilities and strongly interacted with immunosuppressive receptor–ligand pairs. Conclusion: BLCA patients with low TP53 scores have a worse prognosis and a more immunosuppressive TME. This TP53 activity-related signature can serve as a potential prognostic signature for predicting the immune response, which may facilitate the development of new strategies for immunotherapy in BLCA.
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spelling pubmed-97804752022-12-24 TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study Tao, Yuting Li, Xia Zhang, Yushan He, Liangyu Lu, Qinchen Wang, Yaobang Pan, Lixin Wang, Zhenxing Feng, Chao Xie, Yuanliang Lai, Zhiyong Li, Tianyu Tang, Zhong Wang, Qiuyan Wang, Xi Front Genet Genetics Background: The tumor suppressor gene TP53 is frequently mutated or inactivated in bladder cancer (BLCA), which is implicated in the pathogenesis of tumor. However, the cellular mechanisms of TP53 mutations are complicated, yet well-defined, but their clinical prognostic value in the management of BLCA remains controversial. This study aimed to explore the role of TP53 mutation in regulating the tumor microenvironment (TME), elucidate the effects of TP53 activity on BLCA prognosis and immunotherapy response. Methods: A TP53-related signature based on TP53-induced and TP53-repressed genes was used to construct a TP53 activity-related score and classifier. The abundance of different immune cell types was determined using CIBERSORT to estimate immune cell infiltration. Moreover, the heterogeneity of the tumor immune microenvironment between the high and low TP53 score groups was further evaluated using single-cell mass cytometry (CyTOF) and imaging mass cytometry (IMC). Moreover, pathway enrichment analysis was performed to explore the differential biological functions between tumor epithelial cells with high and low TP53 activity scores. Finally, the receptor–ligand interactions between immune cells and tumor epithelial cells harboring distinct TP53 activity were analyzed by single-cell RNA-sequencing. Results: The TP53 activity-related gene signature differentiated well between TP53 functional retention and inactivation in BLCA. BLCA patients with low TP53 scores had worse survival prognosis, more TP53 mutations, higher grade, and stronger lymph node metastasis than those with high TP53 scores. Additionally, CyTOF and IMC analyses revealed that BLCA patients with low TP53 scores exhibited a potent immunosuppressive TME. Consistently, single-cell sequencing results showed that tumor epithelial cells with low TP53 scores were significantly associated with high cell proliferation and stemness abilities and strongly interacted with immunosuppressive receptor–ligand pairs. Conclusion: BLCA patients with low TP53 scores have a worse prognosis and a more immunosuppressive TME. This TP53 activity-related signature can serve as a potential prognostic signature for predicting the immune response, which may facilitate the development of new strategies for immunotherapy in BLCA. Frontiers Media S.A. 2022-12-09 /pmc/articles/PMC9780475/ /pubmed/36568387 http://dx.doi.org/10.3389/fgene.2022.1057302 Text en Copyright © 2022 Tao, Li, Zhang, He, Lu, Wang, Pan, Wang, Feng, Xie, Lai, Li, Tang, Wang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Tao, Yuting
Li, Xia
Zhang, Yushan
He, Liangyu
Lu, Qinchen
Wang, Yaobang
Pan, Lixin
Wang, Zhenxing
Feng, Chao
Xie, Yuanliang
Lai, Zhiyong
Li, Tianyu
Tang, Zhong
Wang, Qiuyan
Wang, Xi
TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title_full TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title_fullStr TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title_full_unstemmed TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title_short TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
title_sort tp53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: a multi-omics study
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780475/
https://www.ncbi.nlm.nih.gov/pubmed/36568387
http://dx.doi.org/10.3389/fgene.2022.1057302
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