Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients

BackgroundDisulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood.MethodsDisulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was establish...

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Main Authors: Hualin Chen, Wenjie Yang, Yingjie Li, Lin Ma, Zhigang Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1198878/full
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author Hualin Chen
Wenjie Yang
Yingjie Li
Lin Ma
Zhigang Ji
author_facet Hualin Chen
Wenjie Yang
Yingjie Li
Lin Ma
Zhigang Ji
author_sort Hualin Chen
collection DOAJ
description BackgroundDisulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood.MethodsDisulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was established and verified in various datasets. A series of experiments including qRT-PCR, immunoblotting, IHC, CCK-8, EdU, wound-healing, transwell, dual-luciferase reporter, and ChIP assays were used to study the biological functions.ResultsWe identified two DRG clusters, which exhibited distinct clinicopathological features, prognosis, and tumor immune microenvironment (TIME) landscapes. A DRG prognostic model with ten features (DCBLD2, JAM3, CSPG4, SCEL, GOLGA8A, CNTN1, APLP1, PTPRR, POU5F1, CTSE) was established and verified in several external datasets in terms of prognosis and immunotherapy response prediction. BCa patients with high DRG scores may be characterized by declined survival, inflamed TIME, and elevated tumor mutation burden. Besides, the correlation between DRG score and immune checkpoint genes and chemoradiotherapy-related genes indicated the implication of the model in personalized therapy. Furthermore, random survival forest analysis was performed to select the top important features within the model: POU5F1 and CTSE. qRT-PCR, immunoblotting, and immunohistochemistry assays showed the enhanced expression of CTSE in BCa tumor tissues. A series of phenotypic assays revealed the oncogenetic roles of CTSE in BCa cells. Mechanically, POU5F1 can transactivate CTSE, promoting BCa cell proliferation and metastasis.ConclusionsOur study highlighted the disulfidptosis in the regulation of tumor progression, sensitivity to therapy, and survival of BCa patients. POU5F1 and CTSE may be potential therapeutic targets for the clinical treatment of BCa.
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spelling doaj.art-b2af72b572b4414cb6a5bc7dd32b0a8c2023-05-31T13:51:29ZengFrontiers Media S.A.Frontiers in Immunology1664-32242023-05-011410.3389/fimmu.2023.11988781198878Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patientsHualin ChenWenjie YangYingjie LiLin MaZhigang JiBackgroundDisulfidptosis is a recently discovered form of cell death. However, its biological mechanisms in bladder cancer (BCa) are yet to be understood.MethodsDisulfidptosis-related clusters were identified by consensus clustering. A disulfidptosis-related gene (DRG) prognostic model was established and verified in various datasets. A series of experiments including qRT-PCR, immunoblotting, IHC, CCK-8, EdU, wound-healing, transwell, dual-luciferase reporter, and ChIP assays were used to study the biological functions.ResultsWe identified two DRG clusters, which exhibited distinct clinicopathological features, prognosis, and tumor immune microenvironment (TIME) landscapes. A DRG prognostic model with ten features (DCBLD2, JAM3, CSPG4, SCEL, GOLGA8A, CNTN1, APLP1, PTPRR, POU5F1, CTSE) was established and verified in several external datasets in terms of prognosis and immunotherapy response prediction. BCa patients with high DRG scores may be characterized by declined survival, inflamed TIME, and elevated tumor mutation burden. Besides, the correlation between DRG score and immune checkpoint genes and chemoradiotherapy-related genes indicated the implication of the model in personalized therapy. Furthermore, random survival forest analysis was performed to select the top important features within the model: POU5F1 and CTSE. qRT-PCR, immunoblotting, and immunohistochemistry assays showed the enhanced expression of CTSE in BCa tumor tissues. A series of phenotypic assays revealed the oncogenetic roles of CTSE in BCa cells. Mechanically, POU5F1 can transactivate CTSE, promoting BCa cell proliferation and metastasis.ConclusionsOur study highlighted the disulfidptosis in the regulation of tumor progression, sensitivity to therapy, and survival of BCa patients. POU5F1 and CTSE may be potential therapeutic targets for the clinical treatment of BCa.https://www.frontiersin.org/articles/10.3389/fimmu.2023.1198878/fulldisulfidptosisbladder cancermolecular clusterstumor immune microenvironmentprognostic modelPOU5F1
spellingShingle Hualin Chen
Wenjie Yang
Yingjie Li
Lin Ma
Zhigang Ji
Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
Frontiers in Immunology
disulfidptosis
bladder cancer
molecular clusters
tumor immune microenvironment
prognostic model
POU5F1
title Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
title_full Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
title_fullStr Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
title_full_unstemmed Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
title_short Leveraging a disulfidptosis-based signature to improve the survival and drug sensitivity of bladder cancer patients
title_sort leveraging a disulfidptosis based signature to improve the survival and drug sensitivity of bladder cancer patients
topic disulfidptosis
bladder cancer
molecular clusters
tumor immune microenvironment
prognostic model
POU5F1
url https://www.frontiersin.org/articles/10.3389/fimmu.2023.1198878/full
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