BCG-mediated bladder cancer immunotherapy: identifying determinants of treatment response using a calibrated mathematical model

Mathematical modeling of BCG-based bladder cancer treatment using socio-demographics

Cancer is one of the most widespread diseases around the world with millions of new patients each year. Bladder cancer is one of the most prevalent types of cancer affecting all individuals alike with no obvious "prototypical patient". The current standard treatment for BC follows a routine weekly Bacillus Calmette-Guérin (BCG) immunotherapy-based therapy protocol which is applied to all patients alike. The clinical outcomes associated with BCG treatment vary significantly among patients due to the biological and clinical complexity of the interaction between the immune system, treatments, and cancer cells. In this study, we take advantage of the patient's socio-demographics to offer a personalized mathematical model that describes the clinical dynamics associated with BCG-based treatment. To this end, we adopt a well-established BCG treatment model and integrate a machine learning component to temporally adjust and reconfigure key parameters within the model thus promoting its personalization. Using real clinical data, we show that our personalized model favorably compares with the original one in predicting the number of cancer cells at the end of the treatment, with [Formula: see text] improvement, on average.

Cell-Level Spatio-Temporal Model for a Bacillus Calmette–Guérin-Based Immunotherapy Treatment Protocol of Superficial Bladder Cancer

Bladder cancer is one of the most widespread types of cancer. Multiple treatments for non-invasive, superficial bladder cancer have been proposed over the last several decades with a weekly Bacillus Calmette–Guérin immunotherapy-based therapy protocol, which is considered the gold standard today. Nonetheless, due to the complexity of the interactions between the immune system, healthy cells, and cancer cells in the bladder’s microenvironment, clinical outcomes vary significantly among patients. Mathematical models are shown to be effective in predicting the treatment outcome based on the patient’s clinical condition at the beginning of the treatment. Even so, these models still have large errors for long-term treatments and patients that they do not fit. In this work, we utilize modern mathematical tools and propose a novel cell-level spatio-temporal mathematical model that takes into consideration the cell–cell and cell–environment interactions occurring in a realistic bladder’s geometric configuration in order to reduce these errors. We implement the model using the agent-based simulation approach, showing the impacts of different cancer tumor sizes and locations at the beginning of the treatment on the clinical outcomes for today’s gold-standard treatment protocol. In addition, we propose a genetic-algorithm-based approach to finding a successful and time-optimal treatment protocol for a given patient’s initial condition. Our results show that the current standard treatment protocol can be modified to produce cancer-free equilibrium for deeper cancer cells in the urothelium if the cancer cells’ spatial distribution is known, resulting in a greater success rate.

Intravesical High Dose BCG Tokyo and Low Dose BCG Tokyo with GMCSF+IFN α Induce Systemic Immunity in a Murine Orthotopic Bladder Cancer Model

This study evaluates a short therapy schedule for bladder cancer using BCG Tokyo. BCG Tokyo was evaluated in vitro using bone marrow derived dendritic cells, neutrophils, RAW macrophages and the murine bladder cancer cell line, MB49PSA, and compared to other BCG strains. BCG Tokyo > BCG TICE at inducing cytokine production. In vivo, high dose (1 × 10⁷ colony forming units (cfu)) and low dose (1 × 10⁶ cfu) BCG Tokyo with and without cytokine genes (GMCSF + IFNα) were evaluated in C57BL/6J mice (n = 12–16 per group) with orthotopically implanted MB49PSA cells. Mice were treated with four instillations of cytokine gene therapy and BCG therapy. Both high dose BCG alone and low dose BCG combined with cytokine gene therapy were similarly effective. In the second part the responsive groups, mice (n = 27) were monitored by urinary PSA analysis for a further 7 weeks after therapy cessation. More mice were cured at day 84 than at day 42 confirming activation of the immune system. Cured mice resisted the re-challenge with subcutaneous tumors unlike naïve, age matched mice. Antigen specific T cells recognizing BCG, HY and PSA were identified. Thus, fewer intravesical instillations, with high dose BCG Tokyo or low dose BCG Tokyo with GMCSF + IFNα gene therapy, can induce effective systemic immunity.

Dendritic cell targeting with Fc-enhanced CD40 antibody agonists induces durable antitumor immunity in humanized mouse models of bladder cancer

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.

Delaying BCG immunotherapy onset after transurethral resection of non-muscle-invasive bladder cancer is associated with adverse survival outcomes

PURPOSE

This study was carried out to assess whether a prolonged time between primary transurethral resection of non-muscle-invasive bladder cancer (TURB) and implementation of bacillus Calmette-Guerin (BCG) immunotherapy (time to BCG; TTBCG) is associated with adverse oncological survival in patients with T1 high-grade (HG) non-muscle-invasive bladder cancer (NMIBC).

MATERIALS AND METHODS

Data on 429 patients from 13 tertiary care centers with primary T1HG NMIBC treated with reTURB and maintenance BCG between 2001 and 2019 were retrospectively reviewed. Change-point regression was applied following Muggeo's approach. The population was divided into subgroups according to TTBCG, whereas the recurrence-free survival (RFS) and progression-free survival (PFS) were estimated with log-rank tests. Additionally, Cox regression analyses were performed. Due to differences in baseline patient characteristics, propensity-score-matched analysis (PSM) and inverse-probability weighting (IPW) were implemented.

RESULTS

The median TTBCG was 95 days (interquartile range (IQR): 71-127). The change-point regression analysis revealed a gradually increasing risk of recurrence with growing TTBCG. The risk of tumor progression gradually increased until a TTBCG of approximately 18 weeks. When the study population was divided into two subgroups (time intervals: ≤ 101 and > 101 days), statistically significant differences were found for both RFS (p = 0.029) and PFS (p = 0.005). Furthermore, in patients with a viable tumor at reTURB, there were no differences in RFS and PFS. After both PSM and IPW, statistically significant differences were found for both RFS and PFS, with worse results for longer TTBCG.

CONCLUSION

This study shows that delaying BCG immunotherapy after TURB of T1HG NMIBC is associated with an increased risk of tumor recurrence and progression.

The Dose-Response Relationship of bacillus Calmette-Guérin and Urothelial Carcinoma Cell Biology

PURPOSE

Attenuated mycobacterium bacillus Calmette-Guérin is widely used as intravesical immunotherapy of nonmuscle invasive urothelial carcinoma. Currently there are limited data on the relationship between bacillus Calmette-Guérin dose intensity and tumor response. We evaluated the dose-response relationship of bacillus Calmette-Guérin to nonmuscle invasive bladder cancer in vitro using urothelial carcinoma cell lines and in vivo using an orthotopic mouse model.

MATERIALS AND METHODS

Two human urothelial carcinoma cell lines were used to study the effect of bacillus Calmette-Guérin dose on the tumor cell response. Internalization, activation of signaling pathways, gene transactivation, cell viability, lactate dehydrogenase and HMGB1 release were study end points. An orthotopic tumor model was used to compare the effect of different doses on the antitumor efficacy of bacillus Calmette-Guérin.

RESULTS

Bacillus Calmette-Guérin internalization by urothelial carcinoma cells increased as a function of time and dose with a plateau at higher doses and/or long exposure times. Intracellular signaling demonstrated a similar direct, dose dependent increase. Cytokine expression by urothelial carcinoma cells as a function of dose was variable. Some genes increased progressively but others showed a decrease at the highest dose. While nonviable cell number increased in proportion to dose, the number of cells undergoing necrotic cell death decreased at higher doses. A higher dose of bacillus Calmette-Guérin (1:200) showed a better antitumor effect than a standard dose (1:50) (p <0.01).

CONCLUSIONS

Bacillus Calmette-Guérin dose has a direct impact on urothelial carcinoma cell biology. Increased dose intensity, particularly in nonresponders, may represent a strategy to increase bacillus Calmette-Guérin treatment efficacy.

Summary of the 8th Annual Bladder Cancer Think Tank: Collaborating to move research forward

OBJECTIVES

The 8th Annual Bladder Cancer Think Tank (BCAN-TT) brought together a multidisciplinary group of clinicians, researchers, and patient advocates in an effort to advance bladder cancer research.

METHODS AND MATERIALS

With the theme of "Collaborating to Move Research Forward," the meeting included three panel presentations and seven small working groups.

RESULTS

The panel presentations and interactive discussions focused on three main areas: gender disparities, sexual dysfunction, and targeting novel pathways in bladder cancer. Small working groups also met to identify projects for the upcoming year, including: (1) improving enrollment and quality of clinical trials; (2) collecting data from multiple institutions for future research; (3) evaluating patterns of care for non-muscle-invasive bladder cancer; (4) improving delivery of care for muscle-invasive disease; (5) improving quality of life for survivors; (6) addressing upper tract disease; and (7) examining the impact of health policy changes on research and treatment of bladder cancer.

CONCLUSIONS

The goal of the BCAN-TT is to advance the care of patients with bladder cancer and to promote collaborative research throughout the year. The meeting provided ample opportunities for collaboration among clinicians from multiple disciplines, patients and patient advocates, and industry representatives.

Mathematical models for translational and clinical oncology

In the context of translational and clinical oncology, mathematical models can provide novel insights into tumor-related processes and can support clinical oncologists in the design of the treatment regime, dosage, schedule, toxicity and drug-sensitivity. In this review we present an overview of mathematical models in this field beginning with carcinogenesis and proceeding to the different cancer treatments. By doing so we intended to highlight recent developments and emphasize the power of such theoretical work.We first highlight mathematical models for translational oncology comprising epidemiologic and statistical models, mechanistic models for carcinogenesis and tumor growth, as well as evolutionary dynamics models which can help to describe and overcome a major problem in the clinic: therapy resistance. Next we review models for clinical oncology with a special emphasis on therapy including chemotherapy, targeted therapy, radiotherapy, immunotherapy and interaction of cancer cells with the immune system.As evident from the published studies, mathematical modeling and computational simulation provided valuable insights into the molecular mechanisms of cancer, and can help to improve diagnosis and prognosis of the disease, and pinpoint novel therapeutic targets.