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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

This article is part of the Research TopicNew Challenges in Cancer Immunotherapy: Mechanisms, Translational Approaches, and Pan-Tumor StrategiesView all 7 articles

Targeting PSMB5-induced PANoptosis in bladder cancer: multi-omics insights and TCM candidate discovery

Provisionally accepted
  • Lanzhou University Second Hospital, Lanzhou, China

The final, formatted version of the article will be published soon.

Background: Bladder cancer (BLCA) is among the most common malignancies worldwide, with significant mortality rates. The function of PANoptosis in BLCA, as a controlled process of programmed cell death, remains largely unelucidated. The study aimed to elucidate the role of PANoptosis-related genes in BLCA and investigate their molecular mechanisms, prognostic significance, and therapeutic potential. Methods: By analyzing differentially expressed genes in BLCA from The Cancer Genome Atlas (TCGA) and PANoptosis-associated genes, we discovered 98 genes associated with PANoptosis. Functional enrichment and consensus clustering identified molecular subtypes linked to these genes. A prognostic model was developed via LASSO regression based on these genes. Subsequent analyses assessed clinical significance, characteristics of the immunological milieu, and treatment responsiveness. Systematic screening with machine learning (ML) identified PSMB5 as a pivotal gene, with its functional importance further clarified using single-cell sequencing and Mendelian randomization analysis (MR). In vitro research confirmed the biological activities of PSMB5 in BLCA. Molecular docking demonstrated PSMB5's binding affinity with traditional Chinese medicines (TCMs). Results: Clustering of 98 PANoptosis-associated genes revealed molecular subgroups A and B. A prognostic approach identified high-risk and low-risk cohorts, revealing considerable disparities in clinical characteristics and immunological landscapes across the groups. ML and MR identified PSMB5 as a risk factor in BLCA. Single-cell sequencing revealed that PSMB5 expression is predominantly associated with three cell lines linked to lymph node metastases. In vitro findings demonstrated that PSMB5 knockdown inhibited the proliferation and migration of BLCA cells while promoting apoptosis, whereas overexpression has the opposite effect. Molecular docking revealed a robust binding affinity between PSMB5 and five TCMs. Conclusions: A prognostic model incorporating PANoptosis-related genes was developed for stratifying BLCA risk and assessing the immune microenvironment. PSMB5 has been recognized as a crucial therapeutic target, exhibiting dual importance in the molecular aetiology of BLCA and traditional Chinese medicine intervention.

Keywords: Bladder cancer, PANoptosis, machine learning, Prognostic model, PSMB5, Sing-cell, TCM

Received: 30 Jun 2025; Accepted: 18 Nov 2025.

Copyright: © 2025 Chang, Wang, Cao, Fan, Li, Wang, Zhang, Wang, Yang, Chen and Yang. 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) or licensor 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.

* Correspondence:
Siyu Chen, 1432996042@qq.com
Li Yang, ery_yangli@lzu.edu.cn

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