No abstract

The rs4796793 genotype appears to be a novel factor for mTKI-induced HFSR in patients with mRCC. Prospective translational trials with larger numbers of patients are required to confirm our results. This research suggests a potential benefit of STAT3 polymorphism screening in patients treated with mTKIs.

The gut microbiome influences tumor response to immune checkpoint inhibitors (ICIs). The proton pump inhibitors (PPI) significantly impair diversity of the gut microbiota and can affect the efficacy of ICIs. Therefore, the present study aimed to evaluate the influence of PPI on survival in patients with metastatic or unresectable urothelial carcinoma receiving pembrolizumab. We conducted a retrospective cohort study of patients with metastatic or unresectable urothelial carcinoma receiving pembrolizumab. The use of PPI was defined as any administration for ≥30 d within 60 d prior and/or 30 d after treatment initiation. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method, and Cox proportional hazards regression analysis was performed to investigate prognostic factors based on patient characteristics. Seventy-nine patients were included in the analysis, and 34 patients (43.0%) received PPI. There were no significant differences in OS and PFS between PPI users and nonusers (median OS: 8.2 months vs. 11.2 months, hazard ratio (HR): 1.36, 95% confidence interval (CI): 0.75-2.42, p 0.296; median PFS: 3.5 months vs. 5.1 months, HR: 1.63, 95% CI: 0.95-2.80, p 0.069). In the multivariable analysis, PPI use was not associated with OS (HR 0.80, 95% CI 0.40-1.56, p 0.526) or PFS (HR 1.44, 95% CI 0.79-2.60, p 0.233). In conclusion, the estimated effect size of PPI use on survival in Japanese patients with metastatic or unresectable urothelial carcinoma treated with pembrolizumab was not reproducible.

Signal transducer and activator of transcription (STAT) 3 is a key factor in homeostasis of the oral mucosa by regulating the production of inflammatory cytokines. Sunitinib is a substrate of P-glycoprotein (multidrug resistance (MDR)-1/ABCB1) and breast-cancer resistance protein (BCRP/ABCG2). In this retrospective study, we evaluated the association between sunitinib-induced stomatitis and STAT3, ABCB1, and ABCG2 polymorphisms in patients with metastatic renal cell carcinoma (mRCC). Fifty-two Japanese patients with RCC treated with sunitinib were retrospectively genotyped to elucidate a potential association between STAT3, ABCB1, and ABCG2 polymorphisms and stomatitis development. Stomatitis occurred in 22 out of 52 patients. The TT TC genotypes at STAT3 rs744166 had an odds ratio of 5.00 against CC genotype for the stomatitis development (95% confident interval, 0.97-25.8). In the Kaplan-Meier method for the cumulative incidence of stomatitis, a statistically significant difference was observed between the TT TC and CC genotypes in STAT3 rs744166 (p 0.037). Both multiple logistic regression analysis and Cox proportional-hazards regression analysis show STAT3 rs744166 TT TC genotypes and serum creatinine in each patient were significant independent factors for stomatitis development. In conclusion, STAT3 polymorphism may be a novel risk factor for sunitinib-induced stomatitis in patients with mRCC.

Signal transducer and activator of transcription (STAT) 3 is a key factor in multiple tyrosine kinase inhibitor (mTKI)-induced growth inhibition and apoptosis of renal cell carcinoma (RCC) cells. This study aimed to identify associations between single-nucleotide polymorphisms (SNPs) in the STAT3 gene and tumor response to mTKIs in patients with metastatic RCC (mRCC). Seventy-one patients with clear cell RCC treated with any mTKI were retrospectively genotyped to elucidate a potential association between STAT3 SNPs and overall best response to drugs. Of 50 patients included for analysis, a partial or complete response was observed in 17. A significant association was found between rs4796793 alleles and tumor response [G vs. C, odds ratio (OR) 3.25, 95 % confidence interval (CI) 1.30-8.07]. There were a higher percentage of responders with the C/C genotype at rs4796793 than with the G/C + G/G genotypes (OR 4.46, 95 % CI 1.31-15.28). Time-to-event analysis demonstrated a statistically significant difference between patients with the CC genotype and those with G/C + G/G genotypes in time-to-treatment response, but not in progression-free survival or time-to-treatment failure. The rs4796793 genotype is a novel predictive factor of the response to mTKIs in patients with mRCC. However, prospective translational trials with larger patient cohorts are required to confirm these results.