New prognostic model in patients with advanced urothelial carcinoma treated with second-line immune checkpoint inhibitors

Avelumab first-line maintenance in advanced urothelial carcinoma: Complete screening for prognostic and predictive factors using machine learning in the JAVELIN Bladder 100 phase 3 trial

BACKGROUND

Avelumab first-line (1 L) maintenance is a standard of care for advanced urothelial carcinoma (aUC) based on the JAVELIN Bladder 100 phase 3 trial, which showed that avelumab 1 L maintenance + best supportive care (BSC) significantly prolonged overall survival (OS) and progression-free survival (PFS) vs BSC alone in patients who were progression free after receiving 1 L platinum-containing chemotherapy. Here, we comprehensively screened JAVELIN Bladder 100 trial datasets to identify prognostic factors that define subpopulations of patients with longer or shorter OS irrespective of treatment, and predictive factors that select patients who could obtain a greater OS benefit from avelumab 1 L maintenance treatment.

METHODS

We performed machine learning analyses to screen a large set of baseline covariates, including patient demographics, disease characteristics, laboratory values, molecular biomarkers, and patient-reported outcomes. Covariates were identified from previously reported analyses and established prognostic and predictive markers. Variables selected from random survival forest models were processed further in univariate Cox models with treatment interaction and visually inspected using correlation analysis and Kaplan-Meier curves. Results were summarized in a multivariable Cox model.

RESULTS

Prognostic baseline covariates associated with OS included in the final model were assignment to avelumab 1 L maintenance treatment, Eastern Cooperative Oncology Group performance status, site of metastasis, sum of longest target lesion diameters, levels of C-reactive protein and alkaline phosphatase in blood, lymphocyte proportion in intratumoral stroma, tumor mutational burden, and tumor CD8+ T-cell infiltration. Potential predictive factors included site of metastasis, tumor mutation burden, and tumor CD8+ T-cell infiltration. An analysis in patients with PD-L1+ tumors had similar findings to those in the overall population.

CONCLUSIONS

Machine learning analyses of data from the JAVELIN Bladder 100 trial identified potential prognostic and predictive factors for avelumab 1 L maintenance treatment in patients with aUC, which warrant further evaluation in other clinical datasets.

Prognostic role of circulating cytokines and inflammation indexes for avelumab maintenance in metastatic urothelial carcinoma

Background

Avelumab maintenance after first-line platinum-based chemotherapy represents a cornerstone for the treatment of metastatic urothelial carcinoma (mUC). However, identifying prognostic biomarkers is paramount for optimizing patients' benefits while minimizing toxicity. Cytokines represent circulating mediators of the complex interaction between cancer, the immune system, and inflammation. Inflammation, a hallmark of cancer, can be expressed by circulating factors. In different tumor subtypes, peripheral blood biomarkers, such as circulating cytokines, and systemic inflammatory indexes, have been addressed as potential prognostic factors for immune checkpoint inhibitors. However, their role in mUC still needs to be determined.

Methods

Between February 2021 and April 2023, we prospectively collected plasma cytokines and inflammation indexes in 28 patients with mUC before starting avelumab as first-line maintenance. The primary endpoint was the relationship between baseline cytokines and inflammatory indexes with the clinical benefit (CB), defined as the number of Responders. Secondary endpoints included the correlation of baseline cytokines and inflammatory indexes with progression-free survival (PFS), overall survival (OS), and the number and grade of immune-related adverse events.

Results

High pre-treatment levels of interferon (IFN)-γ and interleukin (IL)-2, and low levels of IL-6, IL-8, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and systemic-inflammation index (SII) were associated with clinical benefit and longer survival. In the multivariate analysis, low IL-8, NLR, and SII levels maintained a positive prognostic value for OS.

Conclusion

Our data suggest that, in mUC patients receiving avelumab, pre-treatment levels of plasma cytokines and inflammatory indexes may serve as potential prognostic biomarkers for response and efficacy. In particular, patients with signs of pre-therapeutic inflammation showed a significantly lower response and survival to avelumab. On the contrary, low systemic inflammation and high levels of cytokines characterized responders and longer survivors.

Pre-first-line chemotherapy risk stratification for overall survival in advanced urothelial carcinoma in sequential therapy era

PURPOSE

To explore pre-treatment risk factors for overall survival (OS) in advanced urothelial carcinoma (UC) patients treated with first-line (1L) chemotherapy in sequential therapy (ST) era. Additionally, to evaluate the proportion of patients who were not able to undergo subsequent immune checkpoint inhibitor (ICI) therapy according to the subgroups stratified by the risk factors.

METHODS

A multicenter retrospective study was conducted. Metastatic or locally advanced UC patients treated between 2017 and 2022 were included. The Kaplan-Meier method with the log-rank test and multivariate Cox regression models were used to address OS.

RESULTS

Three hundred and fourteen patients treated with 1L chemotherapy were included in the study and 57 (18.2%) patients were not able to proceed to subsequent ICI therapy. Pre-chemotherapy risk factors for OS in 314 patients were ECOG-PS 1 or more, having no primary site resection, C-reactive protein (CRP) level of 3 mg/dL or more, and non-cisplatin-based regimen. Patients having 3 or 4 risk factors had higher risk for not being able to receive ST (Mann-Whitney U test, P < 0.001). As risk factors for OS in 230 patients who were able to receive ST, having no primary site resection, a neutrophil to lymphocyte ratio of 3 or more, and the presence of liver metastasis were identified.

CONCLUSION

We reported the risk factors for OS in advanced UC patients treated with 1L chemotherapy in ST era. Patients with high risk for OS may not be able to proceed to subsequent ICI therapy even in the ST era.

Development and Validation of an Inflammatory Prognostic Index to Predict Outcomes in Advanced/Metastatic Urothelial Cancer Patients Receiving Immune Checkpoint Inhibitors

BACKGROUND

Immune checkpoint inhibitors (ICIs) improve overall survival (OS) in advanced/metastatic urothelial cancer (a/mUC) patients. Preliminary evidence suggests a prognostic role of inflammatory biomarkers in this setting. We aimed to develop a disease-specific prognostic inflammatory index for a/mUC patients on ICIs.

METHODS

Fifteen variables were retrospectively correlated with OS and progression-free survival (PFS) in a development (D, n = 264) and a validation (V, n = 132) cohort of platinum-pretreated a/mUC pts receiving ICIs at L2 or further line. A nomogram and inflammatory prognostic index (U-IPI) were developed. The index was also tested in a control cohort of patients treated with chemotherapy only (C, n = 114).

RESULTS

The strongest predictors of OS were baseline platelet/lymphocyte (PLR) and neutrophil/lymphocyte (NLR) ratios, and lactate dehydrogenase (LDH), NLR, and albumin changes at 4 weeks. These were used to build the U-IPI, which can distinctly classify patients into good or poor response groups. The nomogram scoring is significant for PFS and OS (p < 0.001 in the D, V, and combined cohorts) for the immunotherapy (IO) cohort, but not for the control cohort.

CONCLUSIONS

The lack of a baseline systemic inflammatory profile and the absence of early serum inflammatory biomarker changes are associated with significantly better outcomes on ICIs in a/mUC pts. The U-IPI is an easily applicable dynamic prognostic tool for PFS and OS, allowing for the early identification of a sub-group with dismal outcomes that would not benefit from ICIs, while distinguishing another that draws an important benefit.

Real world evidence of enfortumab vedotin in patients with advanced urothelial cancer: A multicenter observational study

OBJECTIVES

To explore the characteristics of patients and assess the effectiveness of enfortumab vedotin (EV) in those with treatment-resistant advanced urothelial cancer in a real-world setting.

PATIENTS AND METHODS

A multicenter observational study was conducted on 103 evaluable patients with advanced urothelial cancer who received EV. Outcomes were assessed by radiographic response, progression-free survival (PFS), and overall survival (OS), with treatment-related adverse events (trAEs). Radiographic response was assessed using Response Evaluation Criteria in Solid Tumors version 1.1, while trAEs were studied in line with Common Terminology Criteria for Adverse Events version 5.0.

RESULTS

The median follow-up was 8.9 months (range, 0.1-16.4). The observed objective response rate was 50.5%. The median PFS was 6.0 months (95% CI: 4.7-9.8), and the median OS was 14.5 months (95% CI: 12.4-not reached). Out of the 103 patients, 19 (18.4%) had an Eastern Cooperative Oncology Group performance status of 2 or more, 14 (14.7%) had an non-urothelial carcinoma histology, and 40 (38.3%) had at least one pre-existing comorbidity. There were 26 (25.2%) patients who reported 49 trAEs, with 9 (18.3%) being grade 3 or higher. The most common trAEs included rash, occurring in 18.4%.

CONCLUSIONS

This study describes the characteristics and outcomes of patients with previously treated advanced urothelial cancer receiving EV. The findings demonstrate that EV showed robust anti-tumor activity and had manageable safety profiles outside the clinical trial setting.

Real-world data of atezolizumab in patients with previously treated locally advanced or metastatic urothelial bladder cancer

BACKGROUND

Clinical trials of atezolizumab for locally advanced or metastatic urothelial bladder cancer (mUBC) report controversial efficacy data. Furthermore, real-world evidence about this use is limited.

AIM

We aimed to evaluate the effectiveness of atezolizumab in a real-world population with mUBC, to explore effectiveness with regard to selected poor prognostic criteria such as performance status by Eastern Oncology Cooperative Group (ECOG), hemoglobin levels and liver metastases, and to determine the safety profile of atezolizumab.

METHOD

Multicenter, retrospective real-world study including previously treated mUBC patients who received atezolizumab. The primary endpoint was overall survival (OS). Additionally, progression-free survival (PFS), best response reached and safety data were analyzed. A descriptive analysis was performed, while OS and PFS were estimated by Kaplan-Meier method.

RESULTS

A total of 185 patients (84.9% men, median age 69 years) were included. Median PFS was 4.8 months [95% confidence interval (CI) 3.6-6.0], and median OS was 20.0 months (95% CI 11.8-28.5), with an objective response rate of 28.1%. OS was higher for patients with ECOG 0-1 versus 2-3 [24.5 months (95% CI 14.5-34.6) vs. 5.2 (95% CI 4.4-6.0), p = 0.004]; and for patients without liver metastases [25.4 months (95% CI 16.2-34.6) vs. 6.4 months (95% CI 4.0-8.1), p = 0.006]. Regarding hemoglobin levels, no survival differences were detected. Adverse events were registered in 55.1% of patients.

CONCLUSION

In a real-world population with previously treated mUBC, atezolizumab seems to provide clinically relevant benefit, which is even higher for patients with ECOG 0-1 and without liver metastases, with an acceptable safety profile.

Tislelizumab with gemcitabine and cisplatin as a neoadjuvant regimen for muscle-invasive bladder cancer: case series

Introduction and importance

The feasibility of combined tislelizumab with gemcitabine and cisplatin as a neoadjuvant regimen for muscle-invasive bladder cancer (MIBC) remains to be investigated.

Case presentation

The neoadjuvant treatment not only shrunk tumours significantly but also lowered their stages from T4bN1M0, T3N0M0, and T3bN0M0 to pT1, pT0 and pTis, respectively. The treatment suppressed tumour cell proliferation and promoted luminal-to-basal transition.

Clinical discussion

MIBC is an aggressive bladder cancer with poor prognosis. All three patients with MIBC benefited greatly from the neoadjuvant regimen (tislelizumab + gemcitabine + cisplatin). It appears that the effect of the treatment is independent of the levels of programmed death-ligand 1 nor the subtype of urothelial bladder cancer.

Conclusion

Combination of tislelizumab with gemcitabine and cisplatin appeared to be a safe and efficacious neoadjuvant therapy for MIBC.

Change in Splenic Volume as a Surrogate Marker for Immunotherapy Response in Patients with Advanced Urothelial and Renal Cell Carcinoma-Evaluation of a Novel Approach of Fully Automated Artificial Intelligence Based Splenic Segmentation

BACKGROUND

In the treatment of advanced urothelial (aUC) and renal cell carcinoma (aRCC), biomarkers such as PD-1 and PD-L1 are not robust prognostic markers for immunotherapy (IO) response. Previously, a significant association between IO and a change in splenic volume (SV) was described for several tumour entities. To the best of our knowledge, this study presents the first correlation of SV to IO in aUC and aRCC.

METHODS

All patients with aUC (05/2017-10/2021) and aRCC (01/2012-05/2022) treated with IO at our academic centre were included. SV was measured at baseline, 3 and 9 months after initiation of IO using an in-house developed convolutional neural network-based spleen segmentation method. Uni- and multivariate Cox regression models for overall survival (OS) and progression-free survival (PFS) were used.

RESULTS

In total, 35 patients with aUC and 30 patients with aRCC were included in the analysis. Lower SV at the three-month follow-up was significantly associated with improved OS in the aRCC group.

CONCLUSIONS

We describe a new, innovative artificial intelligence-based approach of a radiological surrogate marker for IO response in aUC and aRCC which presents a promising new predictive imaging marker. The data presented implicate improved OS with lower follow-up SV in patients with aRCC.

Predictive biomarkers for immune checkpoint inhibitor response in urothelial cancer

Immune checkpoint inhibitors (ICIs) are commonly used to treat patients with advanced urothelial cancer. However, a significant number of patients do not respond to ICI, and the lack of validated predictive biomarkers impedes the success of the ICI strategy alone or in combination with chemotherapy or targeted therapies. In addition, some patients experience potentially severe adverse events with limited clinical benefit. Therefore, identifying biomarkers of response to ICI is crucial to guide treatment decisions. The most evaluated biomarkers to date are programmed death ligand 1 expression, microsatellite instability/defective mismatch repair phenotype, and tumor mutational burden. Other emerging biomarkers, such as circulating tumor DNA and microbiota, require evaluation in clinical trials. This review aims to examine these biomarkers for ICI response in urothelial cancer and assess their analytical and clinical validation.