Review Article | Open Access
Immunotherapies to Nano-Immunotherapies: Advances in Immune Targeting in Bladder Cancer
Beatriz Ramos1, Dakota Rogers21Department of Medical Laboratory Science, University of Kentucky, Lexington 40506, Kentucky, USA.
2School of Pharmaceutical Sciences, University of Kentucky, Lexington 40506, Kentucky, USA.
Correspondence: Dakota Rogers (School of Pharmaceutical Sciences, University of Kentucky, Lexington 40506, Kentucky, USA; Email: dakotauok12@gmail.com).
Annals of Urologic Oncology 2025, 8: 4. https://doi.org/10.32948/auo.2025.02.01
Received: 18 Nov 2024 | Accepted: 29 Jan 2025 | Published online: 05 Feb 2025
Key words bladder cancer, nano-immunotherapies, BCG immunotherapy, nanovaccines, checkpoint molecules
In terms of adaptive immune responses, recent research in both human and mouse models has uncovered specific actions of various T cell subsets, most of which seem to negatively impact the host, such as insufficient elimination of cancer cells, and/or increased inflammation [32]. Extensive research has been conducted to characterize T cell-mediated immune responses in bladder cancer models, with the objective of advancing targeted immunotherapeutic strategies. A diverse array of T cell subsets has been identified, each playing distinct immunological roles in bladder cancer. These include cytotoxic CD8+ T cells, which exert pro-inflammatory and antitumor effects, regulatory T cells (Tregs) that contribute to immunosuppression, and CD4+ helper T (Th) cells, with a notable presence of Th1-polarized subsets [33]. This heterogeneity in T cell populations within bladder tumors underscores the complexity of immune interactions shaping disease progression and therapeutic outcomes [34]. In the tumor microenvironment, T-cells release IFN-γ, which enhances antigen presentation by dendritic cells via CD40/CD40L, promotes cytotoxic T cell function, and shifts macrophages to an M1 pro-inflammatory state [34]. In bladder cancer murine models, an increase in IFN-γ producing Th1 cells infiltration has been observed. Moreover, neutralizing IFN-γ nullifies the anti-tumor effects of the therapy, highlighting the crucial role of Th1 cells [35]. An elevated density of CD4+ T cells in the tumor has been linked to poor prognosis in NMIBC [36, 37]. Factors released within the tumor microenvironment play a significant role in attracting Tregs from the bloodstream, which subsequently weakens tumor immune surveillance. This immunosuppressive effect is primarily mediated through the secretion of IL-10 and TGF-β [34, 38], which contribute to dampening anti-tumor immune responses. Additionally, these factors may facilitate the depletion or functional impairment of key anti-tumor effector cells and antigen-presenting cells, further weakening immune surveillance [34]. This adaptive shift in T cell phenotype exacerbates immunosuppression, ultimately hindering the activation of nascent anti-tumor immunity and promoting tumor progression. T cells upregulate the expression of programmed cell death protein 1 (PD-1) upon activation, which interacts with its PD-L1 present on the majority of tumor cells, thus impairing the T cells' anti-tumor functions by restricting their effector activities [39].
Immunotherapy works by activating immune system, and has thus become a viable option as a first-line treatment [46, 47] or as part of combination therapy strategies alongside other therapeutic modalities [48]. Immune checkpoint inhibitors aim to boost immune defenses against cancer. This approach leads to improved cancer cell eradication and the establishment of durable anti-tumor immunity [49]. These advancements have significantly broadened the scope of immunotherapy, offering new hope for patients with various malignancies. Although clinical outcomes have been somewhat limited, ongoing clinical trials and experimental models are investigating novel approaches to amplify anti-tumor T cell responses. These include the use of monoclonal antibodies that prevent PD-1’s interaction with PD-L1, thereby improving T cell activity against tumors [39, 50]. The most significant breakthroughs over the past decade has been the development of immune checkpoint inhibitors targeting CTLA-4 and PD-1/PD-L1 [49, 51]. Additionally, other immune checkpoint molecules like tumor necrosis factor receptor 2 (TNFR2) [52], are also being targeted to further modulate T lymphocyte function and improve therapeutic efficacy. The success of immunotherapy with immune checkpoint inhibitors largely depends on how responsive the tumor is to these inhibitors, with factors such as the genomic diversity of the tumor, host germline genetics, microbiome composition, and PD-L1 expression levels influencing their effectiveness [53]. Different immunotherapies being used and tested as bladder cancer treatment are discussed in the following sections in detail (Figure 1).
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Table 1. Immunotherapies in bladder cancer. |
|||||
Drug / Approach |
Target |
Clinical trials |
Key findings |
FDA approval status |
References |
Ipilimumab |
CTLA-4 |
CheckMate 032, CheckMate 901 |
Combination with nivolumab shows improved response |
Not approved yet for bladder cancer |
[55, 56] |
Tremelimumab |
CTLA-4 |
DANUBE, NCT0281242 |
Combination with durvalumab did not improve survival over chemotherapy |
Not yet approved |
[57, 58] |
Nivolumab |
PD-1 |
CheckMate 275, CheckMate 274 |
Improved survival in platinum-resistant and high-risk MIBC patients |
Approved for metastatic bladder cancer and adjuvant therapy in MIBC |
[59-62] |
Pembrolizumab |
PD-1 |
KEYNOTE-052, KEYNOTE-045 |
Significant response in platinum-refractory patients |
Approved for advanced or metastatic bladder cancer |
[63-65] |
Avelumab |
PD-L1 |
JAVELIN Solid Tumor, JAVELIN Bladder 100 |
Improved disease control in maintenance therapy after chemotherapy |
Approved for maintenance therapy in advanced bladder cancer |
[66-68] |
Atezolizumab |
PD-L1 |
IMvigor130 |
Effective as a first-line option for cisplatin-ineligible patients |
Approved but later restricted due to trial findings |
[69] |
BCG |
Immune activation via TLR2, TLR4, TLR9 |
- |
Standard therapy for NMIBC, induces T cell and NK cell responses |
Approved for NMIBC |
[73, 74] |
Monalizumab |
NKG2A |
COAST, ENHANCE |
Blocks NK cell inhibition, under investigation for combination therapy |
Not yet approved |
[91, 92] |
Tiragolumab |
TIGIT |
NCT05394337 |
Tested in combination with PD-1 inhibitors (atezolizumab) for urothelial carcinoma |
Not yet approved |
[93] |
Sacituzumab |
TIGIT |
NCT03547973 |
Shown to improve survival in metastatic bladder cancer |
Approved for metastatic bladder cancer |
[94, 95] |
KIR2DL5 Inhibitors |
KIR2DL5/CD155 |
Preclinical studies |
Blocking KIR2DL5 enhances NK cell activity |
Not yet approved |
[96] |
Table 2. Preclinical nanoimmunotherapies and nanovaccines in bladder cancer. |
|||
Approach |
Target / Mechanism |
Key findings |
References |
Macrophage-derived exosome-mimetic nanovesicles (EMVs) with AB680 + PD-L1 inhibitor |
CD73 inhibition + PD-L1 blockade |
Enhanced T cell activation and tumor infiltration |
[102, 103] |
Reactive oxygen species (ROS)-sensitive nanoparticles (NP@ESCu) with cuproptosis induction |
Copper ion release + PD-L1 upregulation |
Induced cancer cell death and improved immune response |
[104] |
Gold nanoparticles (GNPs) conjugated with listeriolysin O peptide (GNP-LLO 91–99 nanovaccine) |
Tumor microenvironment modulation |
Increased cytotoxic T cell infiltration and improved response to checkpoint inhibitors |
[105] |
MNC-ICG-NIG@SiO2 (MINS) macrophage-targeted delivery system |
BCG therapy enhancement + autoimmunity modulation |
Improved BCG therapy response through cytokine regulation |
[107] |
TLR7/8 agonist-loaded polymeric nanoparticles |
Dendritic cell activation |
Enhanced CD8+ T cell response and reduced metastasis |
[108, 113, 114] |
BCG cell wall skeleton-based nanovaccine with neoantigens (M27, M30) |
Cancer-specific immune activation |
60% tumor elimination and synergy with PD-L1 inhibitors |
[115] |
None.
Ethical policy
Non applicable.
Availability of data and materials
All data generated or analysed during this study are included in this publication.
Author contributions
BR and DR searched academic literature, wrote the draft manuscript, drew the figures and submitted the final manuscript online.
Competing interests
None.
Funding
None.
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