髙原 健

BACKGROUND/AIM: Immune-related adverse events (irAEs) are associated with improved clinical outcomes in patients with metastatic renal cell carcinoma (mRCC) treated with immuno-oncology therapy. However, various irAEs occur during such therapy. In this study, we analyzed the association between irAEs and prognosis of patients with mRCC treated with nivolumab and ipilimumab. PATIENTS AND METHODS: We retrospectively collected data from 193 patients with mRCC who were treated with nivolumab and ipilimumab as first-line treatment between September 2018 and February 2023 at multiple institutions. We performed Cox proportional hazards analysis for progression-free (PFS) and overall (OS) survival to identify specific irAEs associated with prognosis. RESULTS: Among the 153 eligible patients (median age=68 years; range=27-86 years, the median PFS was 7.8 months (95% confidence interval=6.0-12.5 months), and the median OS was 34.0 months (95% confidence interval=23.9 months - not reached). The most common irAEs were endocrine disorder (28.8%), rash (18.3%), pulmonary disorder (10.5%), and liver dysfunction (9.8%). In the multivariate analysis, endocrine disorder-related irAEs were identified as prognostic factors for significantly better PFS and OS. Additionally, rash-related irAEs were significant prognostic factors, specifically for better OS (p<0.05). CONCLUSION: Both rash and endocrine disorder-related irAEs were predictors of survival outcomes in patients with mRCC treated with nivolumab and ipilimumab. Optimal management of these irAEs is essential for improving prognosis.

Immune checkpoint inhibitors (ICIs) are a key component of first-line treatment for metastatic renal cell carcinoma (mRCC). However, predicting treatment-related adverse events (TRAEs) remains challenging. This study investigated the utility of eosinophil-related biomarkers as predictors of Common Terminology Criteria for Adverse Events grade ≥ 3 TRAEs in mRCC patients undergoing ICI combination therapy. In this retrospective analysis across 21 hospitals in Japan, we examined 180 patients treated with ICI/ICI therapy and 216 patients treated with ICI/tyrosine kinase inhibitor (TKI) therapy. Grade ≥ 3 TRAEs occurred in 39.4% and 31.9% of patients in the ICI/ICI and ICI/TKI groups, respectively. An elevated eosinophil proportion of ≥ 2.0% (odds ratio [OR]: 2.36; 95% CI [confidence interval] 1.23-4.54, p = 0.01) and a low neutrophil/eosinophil ratio (NER) of ≤ 40.0 (OR: 2.78, 95% CI 1.39-5.53, p = 0.004) were significant predictors of severe TRAEs in the ICI/ICI group. However, no significant associations were found in the ICI/TKI group. These findings may help identify patients who suffer from grade ≥ 3 TRAEs and help determine individualized treatment strategies in patients with mRCC.

The composition of the distal ileum microbiota and the impact of fecal exposure during intracorporeal urinary diversion (ICUD) on gastrointestinal (GI) complications remain unclear. This study included 146 patients with bladder cancer who underwent ICUD without bowel preparation and received only a single day of antibiotic prophylaxis. Fecal samples were collected directly from the distal ileum during surgery, and ascitic fluid was obtained postoperatively from abdominal drains. Among the patients, 129 (88.3%) had minimal microbial growth in ileal feces, while 17 (11.7%) showed significant colonization. The most commonly identified organisms were Streptococcus, Enterococcus, Enterobacter, Klebsiella, and Candida. The incidence of GI complications was significantly higher in patients with positive ileal fecal cultures compared to those with no detectable growth (39.4% vs. 7.7%, P < 0.001), and even more pronounced in patients with positive ascitic cultures (72.5% vs. 11.3%, P < 0.001). Multivariate analysis identified positive ascitic cultures as an independent predictor of GI complications. Additionally, frailty was significantly associated with the presence of microbial growth in ascitic fluid. These findings suggest that, although the distal ileal microbiota is largely suppressed under short-term antibiotic prophylaxis, the presence of intra-abdominal bacteria or fungi is strongly linked to postoperative GI complications, including ileus. Frailty may contribute to microbial dysbiosis and the persistence of intra-abdominal pathogens, particularly Enterococcus and Enterobacter species.

PURPOSE: The purpose of this study is to determine the utility of the CANLPH score as a predictive biomarker for patients with advanced and metastatic renal cell carcinoma (a/mRCC). By validating its prognostic value, this study aims to contribute to more personalized treatment strategies for a/mRCC. METHODS: In a multicenter retrospective study by the JK-FOOT consortium, we analyzed data from 309 a/mRCC patients undergoing ICI-based therapy. The CANLPH score-a composite marker of C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR), and platelet to hemoglobin ratio (PHR)-for its prognostic accuracy in predicting cancer-specific survival (CSS). Advanced statistical methods, including receiver operating characteristic (ROC) curve analysis, Cox proportional-hazard regression, and Harrell's concordance index (C-index), were employed to assess its predictive capacity against established factors. RESULTS: The median follow-up period was 17 months, revealing two-year and five-year overall survival rates of 76.8% and 62.4%, respectively, with CSS rates at 78.3% and 66.2%. The CANLPH score well stratified survival outcomes of ICI-based treatment for RCC patients (HR 5.71; P < 0.0001). C-index analysis demonstrated that the CANLPH score had the highest predictive potency for CSS among models, including IMDC score. Multivariate analysis confirmed the CANLPH score (HR, 5.59; P = 0.0007) and Karnofsky performance status (HR, 2.59; P = 0.0032) as independent prognostic factors for CSS. CONCLUSIONS: The CANLPH score emerges as a critical tool in the a/mRCC therapeutic landscape, enabling precise prediction of patient outcomes with ICI-based therapies. Limitations include the retrospective design and the single national cohort. Prospective validation studies are warranted.

OBJECTIVE: This study aimed to establish a robust predictive model for biochemical recurrence (BCR) in patients with prostate cancer who underwent robot-Assisted Radical Prostatectomy. MATERIAL AND METHODS: A cohort of 1700 patients who underwent robot-assisted radical prostatectomy (RARP) for prostate cancer between August 2009 and December 2022 was included. BCR was defined as two consecutive PSA levels exceeding 0.2 ng/mL post-radical prostatectomy. Cox proportional hazards regression identified predictive variables for BCR. Subsequently, pathologic T stage, PSA level, positive surgical margin, extraprostatic extension, and seminal vesicle involvement were retained. A nomogram was constructed using R software to predict BCR. The model was evaluated using the C-index and calibration curves. RESULTS: A total of 161 instances of BCR were observed during a median follow-up of 61.0 months (range, 12-162 months). The 5-year BCR-free survival rate for the cohort was 25 %. Univariate analysis demonstrated significant associations between BCR and PSA, clinical T stage, biopsy Gleason score, D'Amico risk classification, pathologic T stage, pathologic Gleason score, extraprostatic extension, seminal vesicle invasion, and positive surgical margins. Multivariate analysis identified high PSA ≥20 ng/mL (HR: 1.93; p = 0.034), pathologic T stage 3-4 (HR: 1.89; p < 0.001), pathologic Gleason score 8-10 (HR: 5.43; p < 0.001), extraprostatic extension (HR: 1.41; p < 0.001), seminal vesicle involvement (HR: 1.92; p = 0.018), and positive surgical margin (HR: 2.73; p < 0.001) as independent predictors of BCR. The new model exhibited a C-index of 0.743 (95 % confidence interval: 0.741-0.745). CONCLUSION: The developed nomogram accurately predicts the likelihood of BCR-free status within 3 years following RARP. This allows for tailored follow-up strategies, optimizing resource allocation, and holds significant clinical utility, warranting broader implementation and further research.