Many Elderly Patients With Stage IV Metastatic Renal Cell Carcinoma May Benefit From More-Aggressive Treatment

Identification of tumor-antigen signatures and immune subtypes for messenger RNA vaccine selection in advanced clear cell renal cell carcinoma

BACKGROUND

Advanced clear cell renal cell carcinoma still lacks reliable diagnostic and prognostic biomarkers. Recently, tumor vaccines targeting specific molecules have been proposed as a promising treatment in mitigating tumor progression, which was rekindled under the background of the COVID-19 pandemic. However, the application of messenger RNA vaccine against advanced clear cell renal cell carcinoma antigens remains stagnant, and no subgroup of patients deemed suitable for vaccination has been extensively studied or validated. Our study aims to explore novel advanced clear cell renal cell carcinoma antigen signatures to select suitable patients for vaccination.

METHODS

Gene expression profiles of advanced clear cell renal cell carcinoma samples and their corresponding clinical data were retrieved from The Cancer Genome Atlas. The least absolute shrinkage and selection operator model was applied to develop signatures to stratify patients with advanced clear cell renal cell carcinoma. Receiver operating characteristic analysis was used to compare the prognostic accuracy of each factor. Tumor Immune Estimation Resource was used to visualize the relationship between the proportion of antigen-presenting cells and the expression of filtered genes. The "CIBERSORT" and "WGCNA" R Packages were employed to ascertain disparities in immune infiltration levels between advanced clear cell renal cell carcinoma subgroups. The Search Tools for the Retrieval of Interacting Genes database and Cytoscape were used to construct the protein-protein interaction network. CCK-8 and colony formation assays were included in the invitro experiment.

RESULTS

In total, 244 potential tumor antigens were identified. Using the least absolute shrinkage and selection operator Cox regression, 21 tumor antigens were selected for developing a risk evaluation signature. The risk score signature can be a useful tool to predict the outcome of advanced clear cell renal cell carcinoma patients. According to the differential clinical, molecular, and immune-related genes, we divided advanced clear cell renal cell carcinoma patients into the immune "cold" subtype and immune "hot" subtype. By developing a logistic score, the immune subtype signature can better distinguish a patient more likely to be immune "cold" subtype or immune "hot" subtype. Interestingly, patients with high risk scores had a higher proportion of immune "hot" subtype than those with a low risk score. Furthermore, the prognostic value was significantly improved when combining risk score and immune subtype. Distinct immune landscapes and signal pathways were observed between different tumor subtypes. Finally, novel tumor antigens related to oxidative stress were identified.

CONCLUSION

The tumor-antigens-based risk score and immune subtype signatures identified potentially effective neo-antigens for advanced clear cell renal cell carcinoma messenger RNA vaccine development, and patients with low risk scores and immune "cold" subtype tumors are more prone to benefit from messenger RNA vaccination. Furthermore, our study highlights the significant role of oxidative stress in determining the efficacy of the messenger RNA vaccine.

Overall survival in patients with metastatic renal cell carcinoma in Russia, Kazakhstan, and Belarus: a report from the RENSUR3 registry

Background

Real‐world data describing outcomes of treatment among metastatic renal cell carcinoma (mRCC) patients are limited and heterogeneous.

Aim

RENSUR3 registry study assessed real‐world data on the use of therapies in mRCC and overall survival (OS) in Russia, Kazakhstan, and Belarus.

Methods

Patients were included in the retrospective multicenter registry study. To be eligible, patients were required to have mRCC diagnosed from January 2015 to January 2016. Anonymized data were collected through an online registry. The outcomes of interest were patient characteristics, treatment patterns, and OS.

Results

1094 mRCC patients were identified. Mean age was 62.3 (SD, 11.2) years. Four hundred and forty‐four (41%) patients were 65 years and older. Primary tumor has not been removed in 503 (46%) patients. Subtype of RCC based on WHO classification (clear‐cell or other) has been reported in 402 (37%) patients. In total, 595 (54.4%) patients received systemic therapy for metastatic disease. 58% of elderly patients (≥65) were not treated compared to 37% of younger patients. Cytokines and targeted therapy were used in 298 (50.1%) and 297 (49.9%) of 595 treated patients, respectively. Median OS was 11.9 months (95% CI 10.9‐12.9). The 1‐ and 3‐year OS rates were 49.6% and 19.3%.

Conclusions

Half of patients received no systemic therapy or had only cytokines for mRCC in Russia, Kazakhstan, and Belarus, which doubtless negatively affected OS in this population. Novel therapies should be considered as life prolonging and a priority.