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Background: BRAF and MEK inhibition is a successful strategy in managing BRAF-mutant melanoma, even if the treatment-related toxicity is substantial. We analyzed the role of drug-drug interactions (DDI) on the toxicity profile of anti-BRAF/anti-MEK therapy., Methods: In this multicenter, observational, and retrospective study, DDIs were assessed using Drug-PIN software (V 2/23). The association between the Drug-PIN continuous score or the Drug-PIN traffic light and the occurrence of treatment-related toxicities and oncological outcomes was evaluated., Results: In total, 177 patients with advanced BRAF-mutated melanoma undergoing BRAF/MEK targeted therapy were included. All grade toxicity was registered in 79% of patients. Cardiovascular toxicities occurred in 31 patients (17.5%). Further, 94 (55.9%) patients had comorbidities requiring specific pharmacological treatments. The median Drug-PIN score significantly increased when the target combination was added to the patient's home therapy ( p -value < 0.0001). Cardiovascular toxicity was significantly associated with the Drug-PIN score ( p -value = 0.048). The Drug-PIN traffic light ( p = 0.00821) and the Drug-PIN score ( p = 0.0291) were seen to be significant predictors of cardiotoxicity. Patients with low-grade vs. high-grade interactions showed a better prognosis regarding overall survival (OS) ( p = 0.0045) and progression-free survival (PFS) ( p = 0.012). The survival analysis of the subgroup of patients with cardiological toxicity demonstrated that patients with low-grade vs. high-grade DDIs had better outcomes in terms of OS ( p = 0.0012) and a trend toward significance in PFS ( p = 0.068)., Conclusions: DDIs emerged as a critical issue for the risk of treatment-related cardiovascular toxicity. Our findings support the utility of DDI assessment in melanoma patients treated with BRAF/MEK inhibitors.

The actual role of chemotherapy in vulvar cancer is undeniably a niche topic. The low incidence of the disease limits the feasibility of randomized trials. Decision making is thus oriented by clinical and pathological features, whose relevance is generally weighted against evidence from observational studies and clinical practice. The therapeutic management of vulvar cancer is increasingly codified and refined at an individual patient level. It is of note that the attitude towards evidence sharing and discussion within a multidisciplinary frame is progressively consolidating. Viable options included in the therapeutic armamentarium available for vulvar cancer patients are frequently an adaption from standards used for cervical or anal carcinoma. Chemotherapy is more frequently combined with radiotherapy as neo-/adjuvant or definitive treatment. Drugs commonly used are platinum derivative, 5-fluorouracil and mitomicin C, mostly in combination with radiotherapy for radiosensitization. Exclusive chemotherapy in the neo-/adjuvant setting comprises platinum-derivative, combined with bleomicin and methotrexate, 5-fluorouracil, ifosfamide or taxanes. In advanced disease, current regimens include cisplatin-based chemoradiation, with or without 5-fluorouracil, or doublets with platinum in combination with a taxane. Our work is also enriched by a concise excursus on the biologic pathways underlying vulvar cancer. Introductory hints are also provided on targeted agents, a rapidly evolving research field.

Pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) can predict better survival outcomes in patients with early triple negative breast cancer (TNBC). Tumor infiltrating lymphocytes (TILs), Programmed Death-Ligand 1 (PD-L1), and Cluster of Differentiation 73 (CD73) are immune-related biomarkers that can be evaluated in the tumor microenvironment. We investigated if the contemporary expression of these biomarkers combined in a tissue immune profile (TIP) can predict pCR better than single biomarkers in TNBC. Tumor infiltrating lymphocytes (TILs), CD73 expression by cancer cells (CC), and PD-L1 expression by immune cells (IC) were evaluated on pre-NACT biopsies. We defined TIP positive (TIP+) as the simultaneous presence of TILS ≥ 50%, PD-L1 ≥ 1%, and CD73 ≤ 40%. To consider the effects of all significant variables on the pCR, multivariate analysis was performed. Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used for model selection. We retrospectively analyzed 60 biopsies from patients with TNBC who received standard NACT. Pathological complete response was achieved in 23 patients (38.0%). Twelve (20.0%) cases resulted to be TIP+. The pCR rate was significantly different between TIP+ (91.7%) and TIP- (25.0%) ( p < 0.0001). Using a multivariate analysis, TIP was confirmed as an independent predictive factor of pCR (OR 49.7 (6.30-392.4), p < 0.0001). Finally, we compared the efficacy of TIP versus each single biomarker in predicting pCR by AIC and BIC. The combined immune profile is more accurate in predicting pCR (AIC 68.3; BIC 74.5) as compared to single biomarkers. The association between TIP+ and pCR can be proposed as a novel link between immune background and response to chemotherapy in TNBC, highlighting the need to consider an immunological patients' profile rather than single biomarkers.