Development and Validation of a Preoperative Nomogram for Endoscopic Management Decision Making in Upper Urinary Tract Urothelial Carcinoma.

OBJECTIVE: We aimed to develop and validate a preoperative nomogram that predicts low-grade, non-muscle invasive upper urinary tract urothelial carcinoma (LG-NMI UTUC), thereby aiding in the accurate selection of endoscopic management (EM) candidates. METHODS: This was a retrospective study that included 454 patients who underwent radical surgery (Cohort 1 and Cohort 2), and 26 patients who received EM (Cohort 3). Utilizing a multivariate logistic regression model, a nomogram predicting LG-NMI UTUC was developed based on data from Cohort 1. The nomogram's accuracy was compared with conventional European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) models. External validation was performed using Cohort 2 data, and the nomogram's prognostic value was evaluated via disease progression metrics in Cohort 3. RESULTS: In Cohort 1, multivariate analyses highlighted the absence of invasive disease on imaging (odds ratio [OR] 7.04; p = 0.011), absence of hydronephrosis (OR 2.06; p = 0.027), papillary architecture (OR 24.9; p < 0.001), and lack of high-grade urine cytology (OR 0.22; p < 0.001) as independent predictive factors for LG-NMI disease. The nomogram outperformed the two conventional models in predictive accuracy (0.869 vs. 0.759-0.821) and exhibited a higher net benefit in decision curve analysis. The model's clinical efficacy was corroborated in Cohort 2. Moreover, the nomogram stratified disease progression-free survival rates in Cohort 3. CONCLUSION: Our nomogram ( https://kmur.shinyapps.io/UTUC_URS/ ) accurately predicts LG-NMI UTUC, thereby identifying suitable candidates for EM. Additionally, the model serves as a useful tool for prognostic stratification in patients undergoing EM.

Geriatric nutritional risk index as a prognostic marker of first-line immune checkpoint inhibitor combination therapy in patients with renal cell carcinoma: a retrospective multi-center study.

PURPOSE: This study aimed to investigate the effectiveness of the Geriatric Nutritional Risk Index (GNRI) in predicting the efficacy of first-line immune checkpoint inhibitor (ICI) combination therapy for metastatic or unresectable renal cell carcinoma (RCC) and associated patient prognosis. METHODS: A retrospective study was conducted using data from 19 institutions. The GNRI was calculated using body mass index and serum albumin level, and patients were classified into two groups using the GNRI values, with 98 set as the cutoff point. RESULTS: In all, 119 patients with clear cell RCC who received first-line drug therapy with ICIs were analyzed. Patients with GNRI ≥ 98 had significantly better overall survival (OS) (p = 0.008) and cancer-specific survival (CSS) (p = 0.001) rates than those with GNRI < 98; however, progression-free survival (PFS) did not differ significantly. Inverse probability of treatment weighting analysis showed that low GNRI scores were significantly associated with poor OS (p = 0.004) and CSS (p = 0.015). Multivariate analysis showed that the Karnofsky performance status (KPS) score was a better predictor of prognosis (OS; HR 5.17, p < 0.001, CSS; HR 4.82, p = 0.003) than GNRI (OS; HR 0.36, p = 0.066, CSS; HR 0.35, p = 0.072). In a subgroup analysis of patients with a good KPS and GNRI ≥ 98 vs < 98, the 2-year OS rates were 91.4% vs 66.9% (p = 0.068), 2-year CSS rates were 91.4% vs 70.1% (p = 0.073), and PFS rates were 39.7% vs 21.4 (p = 0.27), respectively. CONCLUSION: The prognostic efficiency of GNRI was inferior to that of the KPS score at the initiation of the first-line ICI combination therapy for clear cell RCC.

Accuracy and Clinical Utility of a Tumor Grade- and Stage-based Predictive Model in Localized Upper Tract Urothelial Carcinoma.

BACKGROUND: Among various clinicopathologic factors used to identify low-risk upper tract urothelial carcinoma (UTUC), tumor grade and stage are of utmost importance. The clinical value added by inclusion of other risk factors remains unproven. OBJECTIVE: To assess the performance of a tumor grade- and stage-based (GS) model to identify patients with UTUC for whom kidney-sparing surgery (KSS) could be attempted. DESIGN, SETTING, AND PARTICIPANTS: In this international study, we reviewed the medical records of 1240 patients with UTUC who underwent radical nephroureterectomy. Complete data needed for risk stratification according to the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) guidelines were available for 560 patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable and multivariable logistic regression analyses were performed to determine if risk factors were associated with the presence of localized UTUC. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the GS, EAU, and NCCN models in predicting pathologic stage were calculated. RESULTS AND LIMITATIONS: Overall, 198 patients (35%) had clinically low-grade, noninvasive tumors, and 283 (51%) had ≤pT1disease. On multivariable analyses, none of the EAU and NCCN risk factors were associated with the presence of non-muscle-invasive UTUC among patients with low-grade and low-stage UTUC. The GS model exhibited the highest accuracy, sensitivity, and negative predictive value among all three models. According to the GS, EAU, and NCCN models, the proportion of patients eligible for KSS was 35%, 6%, and 4%, respectively. Decision curve analysis revealed that the net benefit of the three models was similar within the clinically reasonable range of probability thresholds. CONCLUSIONS: The GS model showed favorable predictive accuracy and identified a greater number of KSS-eligible patients than the EAU and NCCN models. A decision-making algorithm that weighs the benefits of avoiding unnecessary kidney loss against the risk of undertreatment in case of advanced carcinoma is necessary for individualized treatment for UTUC patients. PATIENT SUMMARY: We assessed the ability of three models to predict low-grade, low-stage disease in patients with cancer of the upper urinary tract. No risk factors other than grade assessed on biopsy and stage assessed from scans were associated with better prediction of localized cancer. A model based on grade and stage may help to identify patients who could benefit from kidney-sparing treatment of their cancer.

Adjuvant therapy with tyrosine kinase inhibitors for localized and locally advanced renal cell carcinoma: an updated systematic review and meta-analysis.

PURPOSE: Tyrosine kinase inhibitors (TKIs) have been widely used in the management of patients with metastatic renal cell carcinoma (RCC). However, the use of systemic therapies in the adjuvant setting of localized and locally advanced RCC has shown conflicting results across the literature. Therefore, we aimed to conduct an updated systematic review and meta-analysis comparing the efficacy and safety of TKIs in the adjuvant setting for patients with localized and locally advanced RCC. MATERIALS AND METHODS: The MEDLINE and EMBASE databases were searched in December 2020 to identify phase III randomized controlled trials of patients receiving adjuvant therapies with TKI for RCC. Disease-free survival (DFS) and overall survival (OS) were the primary endpoints. The secondary endpoints included treatment-related adverse events (TRAEs) of high and any grade. RESULTS: Five trials (S-TRAC, ASSURE, PROTECT, ATLAS, and SORCE) were included in our meta-analysis comprising 6,531 patients. The forest plot revealed that TKI therapy was associated with a significantly longer DFS compared to placebo (pooled HR: 0.88, 95% CI: 0.81-0.96, P= 0.004). The Cochrane's Q test (P = 0.51) and I2 test (I2 = 0%) revealed no significant heterogeneity. Adjuvant TKI was not associated with improved OS compared to placebo (pooled HR: 0.93, 95% CI: 0.83-1.04, P= 0.23). The Cochrane's Q test (P = 0.74) and I2 test (I2 = 0%) revealed no significant heterogeneity. The forest plot revealed that TKI therapy, compared to placebo, was associated with higher rates of high grade TRAEs (OR: 5.20, 95% CI: 4.10-6.59, P< 0.00001) as well as any grade TRAEs (OR: 3.85, 95% CI: 1.22-12.17, P= 0.02). The Cochrane's Q tests (P < 0.0001 and P < 0.00001, respectively) and I2 tests (I2 = 79% and I2 = 90%, respectively) revealed significant heterogeneity. CONCLUSIONS: The findings of our analyses suggest an improved DFS in patients with localized and locally advanced RCC receiving adjuvant TKI as compared to placebo; however, this did not translate into any significant OS benefit. Additionally, TKI therapy led to significant toxicity. Adjuvant TKI does not seem to offer a satisfactory risk and/orbenefit balance for all patients. Select patients with very poor prognosis may be considered in a shared decision-making process with the patient. With the successful arrival of immune-based therapies in RCC, these may allow a more favorable risk/benefit profile.

Optimization of chemically defined feed media for monoclonal antibody production in Chinese hamster ovary cells.

Chinese hamster ovary (CHO) cells are the most commonly used mammalian host for large-scale commercial production of therapeutic monoclonal antibodies (mAbs). Chemically defined media are currently used for CHO cell-based mAb production. An adequate supply of nutrients, especially specific amino acids, is required for cell growth and mAb production, and chemically defined fed-batch processes that support rapid cell growth, high cell density, and high levels of mAb production is still challenging. Many studies have highlighted the benefits of various media designs, supplements, and feed addition strategies in cell cultures. In the present study, we used a strategy involving optimization of a chemically defined feed medium to improve mAb production. Amino acids that were consumed in substantial amounts during a control culture were added to the feed medium as supplements. Supplementation was controlled to minimize accumulation of waste products such as lactate and ammonia. In addition, we evaluated supplementation with tyrosine, which has poor solubility, in the form of a dipeptide or tripeptide to improve its solubility. Supplementation with serine, cysteine, and tyrosine enhanced mAb production, cell viability, and metabolic profiles. A cysteine-tyrosine-serine tripeptide showed high solubility and produced beneficial effects similar to those observed with the free amino acids and with a dipeptide in improving mAb titers and metabolic profiles.

New lanostanoids, elfvingic acids A-H, from the fruit body of Elfvingia applanata.

Eight new lanostanoids, 12alpha,15beta-dihydroxy-3,7,11,23-tetraoxolanost-8,(20Z)(22)-dien-26-oic acid (1), 7beta,8beta-epoxy-15beta,20S-dihydroxy-3,12,23-trioxolanost-9(11),16-dien-26-oic acid (2), 7beta,8beta-epoxy-3beta,15beta,20S-trihydroxy-12,23-dioxolanost-9(11),16-dien-26-oic acid (3), 7beta,8beta-epoxy-2alpha,3beta,15beta,20S-tetrahydroxy-12,23-dioxolanost-9(11),16-dien-26-oic acid (4), 7beta,8beta-epoxy-3beta,15beta,20S,28-tetrahydroxy-12,23-dioxolanost-9(11),16-dien-26-oic acid (5), 7beta,8beta-epoxy-3beta,15beta,19,20S-tetrahydroxy-12,23-dioxolanost-9(11),16-dien-26-oic acid (6), 8beta,15beta,20S-trihydroxy-3,7,12,23-tetraoxolanost-9(11),16-dien-26-oic acid (7), 7alpha,8alpha-epoxy-15beta,23xi-dihydroxy-12-oxo-3,4-secolanost-4(28),9(11),(20Z)(22)-trien-3,26-dioic acid (8), and the methyl ester of 8 (8a) were isolated from the fruit bodies of Elfvingia applanata. Their structures were established primarily by NMR experiments, and their biological activity against Kato III and Ehlrich cells was investigated.