TEAM Study: Upfront Docetaxel Treatment in Patients With Metastatic Hormone-Sensitive Prostate Cancer: A Real-World, Multicenter, Retrospective Analysis.

BACKGROUND: Treatment of metastatic hormone-sensitive prostate cancer (mHSPC) dramatically changed. PEACE-1 and ARASENS trials established triplet therapy efficacy. Identifying prognostic factors supporting treatment choice is pivotal. METHODS: TEAM is an observational, retrospective study to evaluate prognostic role of variables in mHSPC patients receiving upfront docetaxel in 11 Italian centers. Outcome measures were progression-free survival (PFS) and overall-survival (OS). RESULTS: From September 2014 to December 2020, 147 patients were included. Median PFS and OS were 11.6 and 37.4 months. At univariate analysis, PFS-related variables were Gleason Score (GS) (P = .001), opioid use (P = .004), bone metastases number (P < .001), baseline PSA (P = .006), Hb (P < .001), ALP (P < .001) and LDH (P = .002), time between ADT and docetaxel start (P = .018), 3-month PSA (P < .001) and ALP (P < .001), and number of docetaxel cycles (P < .001). OS-related variables were PSA at diagnosis (P = .024), primary tumor treatment (P = .022), baseline pain (P = .015), opioid use (P < .001), bone metastases number (P < . 001), baseline Hb (P < .001), ALP (P < .001) and LDH (P = .001), NLR ratio (P = .039), 3-month PSA (P < .001) and ALP (P < .001) and docetaxel cycles number (P < .001). At multivariate analysis, independent prognostic variables were GS, opioid use, baseline LDH and time between ADT and docetaxel initiation for PFS, and baseline Hb and LDH for OS. CONCLUSION: Patients receiving upfront docetaxel with high GS, high disease burden, pain or opioid use, baseline unfavorable laboratory values had worse outcomes. Patients had greater docetaxel benefit when initiated early after ADT start. These parameters could be taken into account when selecting candidates for triplet therapy.

Role of Bone Metastases in Patients Receiving Immunotherapy for Pre-Treated Urothelial Carcinoma: The Multicentre, Retrospective Meet-URO-1 Bone Study.

BACKGROUND: Considerable numbers of patients with metastatic urothelial carcinoma (mUC) develop bone metastases (BoM). Their impact on the efficacy of immune-checkpoint inhibitors (ICIs) is not yet investigated. METHODS: Between July 2014 and August 2020 data on pts treated with single-agent ICIs after failure of at least 1 previous line of chemotherapy for advanced disease, were retrospectively collected across 14 Italian centers. Overall survival (OS) and progression-free survival (PFS) were analyzed using the Kaplan-Meier method. Cox regression analysis was performed evaluating potential prognostic factors for OS and PFS. Each factor was evaluated in univariable (UVA) and multivariable analysis (MVA). RESULTS: A total of 208 evaluable patients treated with ICIs were identified, including 122 (59%) without BoM (BoM-) and 86 (41%) with bone metastases (BoM+). After a median follow-up of 22.3 months, BoM+ patients showed shorter OS (median 3.9 vs 7.8 months, HR 1.59 [95%CI, 1.15-2.20], P = .005) and shorter PFS (median 2.0 vs 2.6 months, HR 1.76 [95%CI, 1.31-2.37], P < .001). Probability of being alive was 62% vs 40% after 6 months, 38% vs 23% after 1 year and 24% vs 13% after 2 years, in BoM- and BoM+ respectively. Within each Bellmunt score, OS and PFS of BoM+ patients were shorter. Both presence of BoM and higher Bellmunt risk score were significantly associated with shorter OS and PFS in UVA and MVA. CONCLUSION: Patients treated with single-agent ICIs for BoM+ mUC have a dismal prognosis compared to BoM-. Further research is needed to understand the mechanism behind these outcomes.

Development and validation of a microRNA-based signature (MiROvaR) to predict early relapse or progression of epithelial ovarian cancer: a cohort study.

BACKGROUND: Risk of relapse or progression remains high in the treatment of most patients with epithelial ovarian cancer, and development of a molecular predictor could be a valuable tool for stratification of patients by risk. We aimed to develop a microRNA (miRNA)-based molecular classifier that can predict risk of progression or relapse in patients with epithelial ovarian cancer. METHODS: We analysed miRNA expression profiles in three cohorts of samples collected at diagnosis. We used 179 samples from a Multicenter Italian Trial in Ovarian cancer trial (cohort OC179) to develop the model and 263 samples from two cancer centres (cohort OC263) and 452 samples from The Cancer Genome Atlas epithelial ovarian cancer series (cohort OC452) to validate the model. The primary clinical endpoint was progression-free survival, and we adapted a semi-supervised prediction method to the miRNA expression profile of OC179 to identify miRNAs that predict risk of progression. We assessed the independent prognostic role of the model using multivariable analysis with a Cox regression model. FINDINGS: We identified 35 miRNAs that predicted risk of progression or relapse and used them to create a prognostic model, the 35-miRNA-based predictor of Risk of Ovarian Cancer Relapse or progression (MiROvaR). MiROvaR was able to classify patients in OC179 into a high-risk group (89 patients; median progression-free survival 18 months [95% CI 15-22]) and a low-risk group (90 patients; median progression-free survival 38 months [24-not estimable]; hazard ratio [HR] 1·85 [1·29-2·64], p=0·00082). MiROvaR was a significant predictor of progression in the two validation sets (OC263 HR 3·16, 95% CI 2·33-4·29, p<0·0001; OC452 HR 1·39, 95% CI 1·11-1·74, p=0·0047) and maintained its independent prognostic effect when adjusted for relevant clinical covariates using multivariable analyses (OC179: adjusted HR 1·48, 95% CI 1·03-2·13, p=0·036; OC263: adjusted HR 3·09 [2·24-4·28], p<0·0001; and OC452: HR 1·41 [1·11-1·79], p=0·0047). INTERPRETATION: MiROvaR is a potential predictor of epithelial ovarian cancer progression and has prognostic value independent of relevant clinical covariates. MiROvaR warrants further investigation for the development of a clinical-grade prognostic assay. FUNDING: AIRC and CARIPLO Foundation.