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CUL5 E3 ubiquitin ligase regulates the evasion of bladder cancer cells to CD8+ T cell-mediated killing by inhibiting autophagy

ABSTRACT: CD8+ T cells are capable of specifically targeting and eliminating malignant tumor cells, but tumor cells can develop resistance mechanisms to escape CD8+ T cell-mediated killing. Here, we performed a whole genome CRISPR-Cas9 knockout screen under CD8+ T cells pressure and identified the E3 ubiquitin ligase CUL5 as an essential factor required for escaping CD8+ T cells killing in bladder cancer cells. We found that CUL5 knockout promoted the sensitivity of bladder cancer cells to CD8+ T cell-mediated killing both in vivo and in vitro. Mechanistically, CUL5 loss reduced the ubiquitination of PTBP1, which regulated alternative splicing of RUBCN pre-mRNA and led to an increase in the levels of the RUBCN-S isoform, thereby preventing immune evasion of bladder cancer cells by inhibiting autophagy. Importantly, CUL5 knockout significantly enhanced the efficacy of anti-PD-1 immunotherapy in a xenograft model. Collectively, these findings reveal a novel mechanism of bladder cancer immune evasion, providing potential targets for cancer immunotherapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE279149 | GEO | 2026/01/29

REPOSITORIES: GEO

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Project description:To investigate the mechanism by which Cul5 regulates CD8+ T cell cytokine-dependent differentiation and TCR-dependent activation, we performed quantitative mass spectrometry (MS) by data-independent acquisition (DIA)-MS of total proteins in the Cul5 KO and NC primary CD8+ T cells in the following conditions: 1) Cytokine dependent expansion and differentiation (T0); 2) 8 hours cytokine withdraw prior to TCR stimulation (T8); and 3) 16 hours TCR stimulation post 8-hour cytokine withdraw (T16). Principal component analysis (PCA) and correlation analysis revealed that replicates in each condition clustered together while different conditions separated from each other, suggesting significant proteomic changes among different conditions of the same T cells as well as between Cul5 KO and NC T cells in each condition. Together with similar total protein quantities among all detected samples, DIA-MS analyses were of high quality. Additionally, the strong reductions of Cul5 abundances in the Cul5 KO cells from all three conditions compared to the NC cells confirms high KO efficiency. Of note, the proteomic analysis showed that the Cul5 protein level was significantly increased upon TCR stimulation post cytokine starvation in the NC cells, suggesting a potential negative feedback regulatory role of Cul5 in CD8+ T cell activation. Consistent with this idea, we observed more markedly upregulation of Cul5 expression upon of TCR stimulation of na•ve primary CD8+ cells. To identify Cul5 interacting proteins in CD8+ T cells, we overexpressed Cul5 with a C terminal HA-tag (Cul5-HA) in mouse primary CD8+ T cells by retroviral transduction. The cells were subjected to TCR stimulation for 12 hr, and Cul5-HA was immunoprecipitated by anti-HA, followed by DIA-MS analysis (co-IP-MS). Compared to the negative control samples (cells transduced with the empty vector), 65 proteins were enriched (p value <0.05 and fold change >1.5) in the anti-HA IP samples. Altogether, we report that Cul5 KO alters CD8+ T cell proteome and the Cul5 interactome.

Project description:The paper describes a model on the Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer. Created by COPASI 4.25 (Build 207) This model is described in the article: Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer Farouk Tijjani Saad, Evren Hincal, and Bilgen Kaymakamzade Computational and Mathematical Methods in Medicine, vol. 2017, no. 3573082 Abstract: This paper aims to study the dynamics of immune suppressors/checkpoints, immune system, and BCG in the treatment of superficial bladder cancer. Programmed cell death protein-1 (PD-1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and transforming growth factor-beta (TGF-b) are some of the examples of immune suppressors/checkpoints. They are responsible for deactivating the immune system and enhancing immunological tolerance. Moreover, they categorically downregulate and suppress the immune system by preventing and blocking the activation of T-cells, which in turn decreases autoimmunity and enhances self- tolerance. In cancer immunotherapy, the immune checkpoints/suppressors prevent and block the immune cells from attacking, spreading, and killing the cancer cells, which leads to cancer growth and development. We formulate a mathematical model that studies three possible dynamics of the treatment and establish the effects of the immune checkpoints on the immune system and the treatment at large. Although the effect cannot be seen explicitly in the analysis of the model, we show it by numerical simulations. This model is hosted on BioModels Database and identified by: MODEL1907100001. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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CUL5 E3 ubiquitin ligase regulates the evasion of bladder cancer cells to CD8+ T cell-mediated killing by inhibiting autophagy

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