Effectiveness of perioperative chemotherapy and radical cystectomy in treating bladder cancer.

BACKGROUND: Despite abundant evidence supporting the use of perioperative chemotherapy from clinical trials, no study to date has comprehensively evaluated its use in the treatment of muscle-invasive bladder cancer (MIBC) in the real-world setting. Little is known regarding the impact of pretreatment disease stage and real-world factors such as patient comorbidities preventing timely completion of therapy on its effectiveness. This study aims to assess the usage of perioperative chemotherapy and examines its impact on pathologic downstaging rates and recurrence free survival in patients undergoing radical cystectomy. METHODS: A retrospective review was conducted in 805 patients with muscle invasive bladder cancer undergoing radical cystectomy with no perioperative chemotherapy, 761 with presurgical chemotherapy followed by radical cystectomy, and 134 radical cystectomy followed by adjuvant chemotherapy. Relevant clinicopathologic features were reviewed. Recurrence-free survival and Overall Survival probability estimates were calculated using the Kaplan-Meier method and compared using the Log-rank or Gehan-Breslow tests. The prognostic effects of presurgical chemotherapy and adjuvant chemotherapy regimens were evaluated by estimating hazard ratio and 95% confidence interval from an adjusted Cox proportional hazards model. Statistical tests were 2-sided, and significance was defined as P-value < 0.05. RESULTS: In this contemporary, real-world cohort, 5-yr RFS was found to be 65.6% in pT0, 59.1%in pT2, and 10.8% in pN+ patients. Presurgical chemotherapy increased pathologic downstaging rates from 27.5% to 41.1% in patients with ≥cT2 BCa. Stratified by clinical T-stage, only cT2 patients derived recurrence-free survival (Median 45.3 months vs. 29.0 months, P < 0.01) and overall survival (Median 62.3 months vs. 41.9 months, P < 0.001) benefits.  In patients with adverse pathologic features (≥pT3 or pN+), adjuvant chemotherapy improved recurrence-free survival (Median 22.8 months vs. 10.0 months, P < 0.0001) and overall survival (Median OS 32.4 months vs. 16.3 months, P < 0.0001). CONCLUSIONS: We report real-world outcomes from a large cohort of muscle-invasive bladder cancer patients undergoing surgical treatment with/out perioperative chemotherapy. Pathologic response rates to pre-surgical chemotherapy were modest and led to clinical benefit only in cT2 patients. Adjuvant chemotherapy provided survival benefit for pathologically advanced MIBC patients irrespective of pT/N staging.

An Assessment of the Penile Squamous Cell Carcinoma Surfaceome for Biomarker and Therapeutic Target Discovery.

Penile squamous cell carcinoma (PSCC) is a rare malignancy in most parts of the world and the underlying mechanisms of this disease have not been fully investigated. About 30-50% of cases are associated with high-risk human papillomavirus (HPV) infection, which may have prognostic value. When PSCC becomes resistant to upfront therapies there are limited options, thus further research is needed in this venue. The extracellular domain-facing protein profile on the cell surface (i.e., the surfaceome) is a key area for biomarker and drug target discovery. This research employs computational methods combined with cell line translatomic (n = 5) and RNA-seq transcriptomic data from patient-derived tumors (n = 18) to characterize the PSCC surfaceome, evaluate the composition dependency on HPV infection, and explore the prognostic impact of identified surfaceome candidates. Immunohistochemistry (IHC) was used to validate the localization of select surfaceome markers. This analysis characterized a diverse surfaceome within patient tumors with 25% and 18% of the surfaceome represented by the functional classes of receptors and transporters, respectively. Significant differences in protein classes were noted by HPV status, with the most change being seen in transporter proteins (25%). IHC confirmed the robust surface expression of select surfaceome targets in the top 85% of expression and a superfamily immunoglobulin protein called BSG/CD147 was prognostic of survival. This study provides the first description of the PSCC surfaceome and its relation to HPV infection and sets a foundation for novel biomarker and drug target discovery in this rare cancer.

Impact of surgical margin and extent of lymphadenectomy on oncologic outcomes in plasmacytoid urothelial carcinoma.

OBJECTIVE: Guideline recommendations disagree on template boundaries for pelvic lymph node dissection (PLND) in conventional urothelial carcinoma. Less is known about PLND in variant histology. We aimed to analyze the role of LND in plasmacytoid urothelial carcinoma (PUC). METHODS: A retrospective review of patients with cTanyNanyM0 PUC who underwent radical cystectomy (RC) with PLND was performed from 2012 to 2022. Lymph node count (LNC) was a surrogate for extent of lymph node dissection and dichotomized based on maximally selected rank statistics. Multivariable cox hazard regression analysis (MVA) for overall survival (OS) corrected for age, perioperative chemotherapy, soft tissue margin status, and stage ≥pT3 and/or pN+ was performed. Disease free survival (DFS) and OS were estimated using Kaplan-Meier (KM) analysis. RESULTS: Sixty-seven patients with median age of 71, who were 79.1% male were included. Neoadjuvant and adjuvant chemotherapy were administered in 61.2% and 19.4% of patients, respectively. At RC, 70.1% were ≥pT3. Median LNC was 22 (IQR 14-27) with 43.3% of patients being pN+. Calculated optimal-LNC cut point for DFS and OS was 19. Grouping by optimal (≥20) vs. suboptimal-LNC (<20), no significant clinicodemographic differences were found. Optimal-LNC provided improved DFS (P = 0.05) and OS (P = 0.02). Optimal-LNC (HR 0.47, 0.24-0.93 CI 95%, P = 0.03) and negative soft tissue margin (HR 0.38, 0.19-0.76 CI 95%, P = 0.01) was associated with improved OS on MVA. Receipt of perioperative chemotherapy did not improve OS (P = 0.46). CONCLUSION: In PUC, complete surgical extirpation achieving negative soft tissue margins and removing ≥20 lymph should be prioritized if operative intervention is pursued.

Novel Dose Escalation Approaches for Stereotactic Body Radiotherapy to Adrenal Oligometastases: A Single-Institution Experience.

OBJECTIVES: The role of local disease control in the oligometastatic setting is evolving. Stereotactic body radiation therapy (SBRT) is a noninvasive treatment option for oligometastases; however, using ablative radiation doses for adrenal metastases raises concern given the proximity to radiosensitive organs. Novel treatment techniques may allow for selective dose escalation to improve local control (LC) while minimizing dose to nearby critical structures. MATERIALS AND METHODS: We retrospectively reviewed patients with adrenal oligometastases treated with SBRT from 2013 to 2018. LC, disease-free survival, and overall survival were estimated using Kaplan-Meier methods. Predictors of outcomes were evaluated by log-rank and Cox proportional hazard analyses. RESULTS: We identified 45 adrenal oligometastases in 41 patients treated with SBRT. The median age at treatment was 67 years (range, 40 to 80). The most common primary histologies were non-small cell lung cancer (51%), renal cell carcinoma (24%), and small cell lung cancer (10%). The median prescription dose was 50 Gy (range, 25 to 60 Gy), with 30 (67%) lesions receiving ≥50 Gy and 14 (31%) receiving 60 Gy. In total, 26 (58%) lesions received a simultaneous-integrated boost. Of the 42 treatment simulations, 26 (62%) were supine, 5 (12%) prone, and 11 (26%) in the left lateral decubitus position. At a median follow-up of 10.5 months, there were 3 local failures with a 12-month LC rate of 96%. CONCLUSIONS: Adrenal SBRT for oligometastatic disease is a feasible, noninvasive option with excellent LC and minimal toxicity. Lesions in close proximity to radiosensitive organs may benefit from dynamic patient positioning and selective simultaneous-integrated boost techniques to allow for dose escalation, while also limiting toxicity risks.

Incidence, features and management of radionecrosis in melanoma patients treated with cerebral radiotherapy and anti-PD-1 antibodies.

BACKGROUND: Brain radiotherapy is used in the management of melanoma brain metastases (MBM) and can result in radionecrosis. Anti-PD-1 is active in the brain and may increase the risk of radionecrosis when combined with radiotherapy. We studied the incidence, associated factors and management of radionecrosis in longer-term survivors with MBM treated with this combination. METHODS: Patients with MBM treated with radiotherapy and anti-PD-1 who survived >1 year were identified to determine radionecrosis incidence (Cohort A, n = 135). Cohort A plus additional radionecrosis cases were examined for factors associated with radionecrosis and management (Cohort B, n = 148). RESULTS: From Cohort A, 17% developed radionecrosis, with a cumulative incidence at 2 years of 18%. Using Cohort B, multivariable analysis confirmed an association between radionecrosis and elevated lactate dehydrogenase (p = 0.0496) and prior treatment with ipilimumab (p = 0.0319). Radionecrosis was diagnosed based on MRI (100%), symptoms (69%) and pathology (56%). Treatment included corticosteroids, bevacizumab and neurosurgery. CONCLUSIONS: Radionecrosis is a significant toxicity in longer-term melanoma survivors with MBM treated with anti-PD-1 and radiotherapy. Identification of those at risk of radionecrosis who may avoid radiotherapy is required.

Radiotherapy for early stage diffuse large B-cell lymphoma with or without double or triple hit genetic alterations.

We investigated whether adding radiation (RT) to systemic therapy improved outcomes in early stage diffuse large B-cell lymphoma (DLBCL) patients with or without double- or triple-hit lymphoma (DHL/THL) biology. This analysis included 183 patients profiled with fluorescent in situ hybridization (FISH) for alterations in MYC, BLC2, and/or BCL6. A total of 146 (80%) were non-DHL/THL, 27 (15%) were DHL, and 10 (6%) were THL. Systemic therapy without RT resulted in inferior freedom from relapse (FFR) (HR: 2.28; 95% CI, 1.10-4.77; p = .02). The median FFR for non-DHL/THL was not reached and was 33 and 22.3 months for DHL and THL, respectively; p < .001. Low-risk (R-IPI <2) DHL/THL patients treated with rituximab-based therapy had 3-year FFR rates of 11% and 71% for systemic therapy without and with RT, respectively; p = .04. No differences in overall survival were observed between the treatment groups. Treatment intensification with RT may improve early stage DHL/THL outcomes.

Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets.

On the order of hundreds of absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) models have been described in the literature in the past decade which are more often than not inaccessible to anyone but their authors. Public accessibility is also an issue with computational models for bioactivity, and the ability to share such models still remains a major challenge limiting drug discovery. We describe the creation of a reference implementation of a Bayesian model-building software module, which we have released as an open source component that is now included in the Chemistry Development Kit (CDK) project, as well as implemented in the CDD Vault and in several mobile apps. We use this implementation to build an array of Bayesian models for ADME/Tox, in vitro and in vivo bioactivity, and other physicochemical properties. We show that these models possess cross-validation receiver operator curve values comparable to those generated previously in prior publications using alternative tools. We have now described how the implementation of Bayesian models with FCFP6 descriptors generated in the CDD Vault enables the rapid production of robust machine learning models from public data or the user's own datasets. The current study sets the stage for generating models in proprietary software (such as CDD) and exporting these models in a format that could be run in open source software using CDK components. This work also demonstrates that we can enable biocomputation across distributed private or public datasets to enhance drug discovery.

Effect of experimental pH on the in vitro permeability in intact rabbit intestines and Caco-2 monolayer.

The effect of experimental (apical) pH on absorptive permeability (Pe) was investigated in animal intestinal tissues and Caco-2 cell monolayers to examine whether the introduction of physiological pH such as 6.5 relates to the better prediction of animal intestinal Pe. Transport studies were conducted in a 24-well transwell for Caco-2 and diffusion chambers for rabbit intestinal permeability. Twenty-four test compounds were chosen (seven acidic, seven basic, eight neutral, and two zwitterionic) and Pe was measured at a 100microM donor concentration with two apical pHs, Krebs Bicarbonate Ringer's buffer (pH 7.4) and 4-morpholineethanesulfonic acid (MES) buffer (pH 6.5). Samples were collected over a 90-min interval and analyzed by LC/UV, LC/MS, or LSC. Upon the apical pH change from 7.4 to 6.5, Caco-2 Pe of acidic and basic compounds changed significantly, whereas rabbit intestinal Pe did not change possibly by the presence of mucous layer. When the intestinal Pe was correlated with pH 6.5 or 7.4 Caco-2 Pe, the correlation of pH 6.5 duodenum and jejunum Pe with pH 6.5 Caco-2 Pe was very poor. However, pH 7.4 Caco-2 Pe correlated relatively well with pH 6.5 duodenum and jejunum Pe and pH 7.4 ileum and colon Pe. The results suggested that pH 7.4 Caco-2 Pe is a good qualitative predictor for physiological intestinal permeability from duodenum to colon.

Physiologically-based pharmacokinetic simulation modelling.

Drug selection is now widely viewed as an important and relatively new, yet largely unsolved, bottleneck in the drug discovery and development process. In order to achieve an efficient selection process, high quality, rapid, predictive and correlative ADME models are required in order for them to be confidently used to support critical financial decisions. Systems that can be relied upon to accurately predict performance in humans have not existed, and decisions have been made using tools whose capabilities could not be verified until candidates went to clinical trial, leading to the high failure rates historically observed. However, with the sequencing of the human genome, advances in proteomics, the anticipation of the identification of a vastly greater number of potential targets for drug discovery, and the potential of pharmacogenomics to require individualized evaluation of drug kinetics as well as drug effects, there is an urgent need for rapid and accurately computed pharmacokinetic properties.