The Tumor Microenvironment and Immunotherapy in Prostate and Bladder Cancer

2020 ◽  
Vol 47 (4) ◽  
pp. e17-e54
Author(s):  
Sujit S. Nair ◽  
Rachel Weil ◽  
Zachary Dovey ◽  
Avery Davis ◽  
Ashutosh K. Tewari
2021 ◽  
Vol 13 (594) ◽  
pp. eabd1346
Author(s):  
Christopher S. Garris ◽  
Jeffrey L. Wong ◽  
Jeffrey V. Ravetch ◽  
David A. Knorr

Intravesical immunotherapy using Bacille Calmette-Guérin (BCG) attenuated bacteria delivered transurethrally to the bladder has been the standard of care for patients with high-risk non–muscle-invasive bladder cancer (NMIBC) for several decades. BCG therapy continues to be limited by high rates of disease recurrence and progression, and patients with BCG-unresponsive disease have few effective salvage therapy options besides radical cystectomy, highlighting a need for new therapies. We report that the immune-stimulatory receptor CD40 is highly expressed on dendritic cells (DCs) within the bladder tumor microenvironment of orthotopic bladder cancer mouse models, recapitulating CD40 expression by DCs found in human disease. We demonstrate that local CD40 agonism in mice with orthotopic bladder cancer through intravesical delivery of anti-CD40 agonist antibodies drives potent antitumor immunity and induces pharmacodynamic effects in the bladder tumor microenvironment, including a reduction in CD8+ T cells with an exhausted phenotype. We further show that type 1 conventional DCs (cDC1) and CD8+ T cells are required for both bladder cancer immune surveillance and anti-CD40 agonist antibody responses. Using orthotopic murine models humanized for CD40 and Fcγ receptors, we demonstrate that intravesical treatment with a fully human, Fc-enhanced anti-CD40 agonist antibody (2141-V11) induces robust antitumor activity in both treatment-naïve and treatment-refractory settings, driving long-term systemic antitumor immunity with no evidence of systemic toxicity. These findings support targeting CD40-expressing DCs in the bladder cancer microenvironment through an intravesical agonistic antibody approach for the treatment of NMIBC.


2020 ◽  
Vol 10 ◽  
Author(s):  
Yutao Wang ◽  
Kexin Yan ◽  
Jiaxing Lin ◽  
Yang Liu ◽  
Jianfeng Wang ◽  
...  

PurposeTo identify immune-related co-expressed genes that promote CD8+ T cell infiltration in bladder cancer, and to explore the interactions among relevant genes in the tumor microenvironment.MethodWe obtained bladder cancer gene matrix and clinical information data from TCGA, GSE32894 and GSE48075. The “estimate” package was used to calculate tumor purity and immune score. The CIBERSORT algorithm was used to assess CD8+ T cell proportions. Weighted gene co-expression network analysis was used to identify the co-expression modules with CD8+ T cell proportions and bladder tumor purity. Subsequently, we performed correlation analysis among angiogenesis factors, angiogenesis inhibitors, immune inflammatory responses, and CD8+ T cell related genes in tumor microenvironment.ResultsA CD8+ T cell related co-expression network was identified. Eight co-expressed genes (PSMB8, PSMB9, PSMB10, PSME2, TAP1, IRF1, FBOX6, ETV7) were identified as CD8+ T cell-related genes that promoted infiltration of CD8+ T cells, and were enriched in the MHC class I tumor antigen presentation process. The proteins level encoded by these genes (PSMB10, PSMB9, PSMB8, TAP1, IRF1, and FBXO6) were lower in the high clinical grade patients, which suggested the clinical phenotype correlation both in mRNA and protein levels. These factors negatively correlated with angiogenesis factors and positively correlated with angiogenesis inhibitors. PD-1 and PD-L1 positively correlated with these genes which suggested PD-1 expression level positively correlated with the biological process composed by these co-expression genes. In the high expression group of these genes, inflammation and immune response were more intense, and the tumor purity was lower, suggesting that these genes were immune protective factors that improved the prognosis in patients with bladder cancer.ConclusionThese co-expressed genes promote high levels of infiltration of CD8+ T cells in an immunoproteasome process involved in MHC class I molecules. The mechanism might provide new pathways for treatment of patients who are insensitive to PD-1 immunotherapy due to low degrees of CD8+ T cell infiltration.


2016 ◽  
Vol 15 (3) ◽  
pp. e799
Author(s):  
S. Baumgart ◽  
J. Heinzelmann ◽  
E. Krause ◽  
M. Stöckle ◽  
M. Stampe Ostenfeld ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
pp. 1438-1438
Author(s):  
Ji Liu ◽  
Zongtai Zheng ◽  
Wentao Zhang ◽  
Moxi Wan ◽  
Wenchao Ma ◽  
...  

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jiao Hu ◽  
Belaydi Othmane ◽  
Anze Yu ◽  
Huihuang Li ◽  
Zhiyong Cai ◽  
...  

Abstract Background Depicting the heterogeneity and functional characteristics of the tumor microenvironment (TME) is necessary to achieve precision medicine for bladder cancer (BLCA). Although classical molecular subtypes effectively reflect TME heterogeneity and characteristics, their clinical application is limited by several issues. Methods In this study, we integrated the Xiangya cohort and multiple external BLCA cohorts to develop a novel 5-methylcytosine (5mC) regulator-mediated molecular subtype system and a corresponding quantitative indicator, the 5mC score. Unsupervised clustering was performed to identify novel 5mC regulator-mediated molecular subtypes. The principal component analysis was applied to calculate the 5mC score. Then, we correlated the 5mC clusters (5mC score) with classical molecular subtypes, immunophenotypes, clinical outcomes, and therapeutic opportunities in BLCA. Finally, we performed pancancer analyses on the 5mC score. Results Two 5mC clusters, including 5mC cluster 1 and cluster 2, were identified. These novel 5mC clusters (5mC score) could accurately predict classical molecular subtypes, immunophenotypes, prognosis, and therapeutic opportunities of BLCA. 5mC cluster 1 (high 5mC score) indicated a luminal subtype and noninflamed phenotype, characterized by lower anticancer immunity but better prognosis. Moreover, 5mC cluster 1 (high 5mC score) predicted low sensitivity to cancer immunotherapy, neoadjuvant chemotherapy, and radiotherapy, but high sensitivity to antiangiogenic therapy and targeted therapies, such as blocking the β-catenin, FGFR3, and PPAR-γ pathways. Conclusions The novel 5mC regulator-based subtype system reflects many aspects of BLCA biology and provides new insights into precision medicine in BLCA. Furthermore, the 5mC score may be a generalizable predictor of immunotherapy response and prognosis in pancancers.


2021 ◽  
Author(s):  
YiHeng Du ◽  
Xiang Jiang ◽  
Bo Wang ◽  
Jin Cao ◽  
Yi Wang ◽  
...  

Abstract Background: Stromal components of the tumor microenvironment contribute to bladder cancer progression, and Cancer-Associated Fibroblasts (CAFs) were reported to play an important role. Accumulating pieces of evidence indicate that CAFs participate in the crosstalk with tumor cells and have a complex interaction network with immune components. Further study of the role of CAFs in the bladder cancer microenvironment and the search for possible specific markers are important for a deeper understanding of the roles of CAFs in bladder cancer progression and immunomodulation.Methods: In the present study, we examined the abundance of CAFs in the TCGA and GEO datasets using the MCP-Counter algorithm. Additionally, the expression of genes related to CAFs was analyzed through the Weighted Gene Co-expression Network Analysis (WGCNA). The CIBERSORT and ESTIMATE algorithms were used for the correlation analysis between the key CAFs related gene and the tumor microenvironment components.Immunohistochemistry analysis in clinical samples was used to validate the results of bioinformatics analysis.Results: The results showed that CAFs were closely associated with the progression and prognosis of bladder cancer. WGCNA also revealed that CALD1 was a key gene significantly associated with CAFs in bladder cancer. Moreover, the further in-depth analysis showed that CALD1 significantly affected the progression and prognosis of bladder cancer. The CIBERSORT and ESTIMATE algorithms significant correlations between CALD1 and the tumor microenvironment components, including CAFs, macrophages, T cells, and multiple immune checkpoint related genes. Finally, immunohistochemistry results of clinical samples' validated the strong association between CALD1, CAFs, and macrophages.Conclusions: In the present study, we confirmed the cancer-promoting roles of CAFs in bladder cancer. Being a key gene associated with CAFs, CALD1 may promote bladder cancer progression by remodeling the tumor microenvironment. The bioinformatics methods, including the CIBERSORT, MCP-COUNTER and ESTIMATE algorithms, may provide important value for studying the tumor microenvironment.


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