Context: Mitotane plasma concentrations R14 mg/l have been shown to predict tumor response and better survival in patients with advanced adrenocortical carcinoma (ACC). A correlation between mitotane concentrations and patient outcome has not been demonstrated in an adjuvant setting. Objective: To compare recurrence-free survival (RFS) in patients who reached and maintained mitotane concentrations R14 mg/l vs patients who did not. Design and setting: Retrospective analysis at six referral European centers. Patients: Patients with ACC who were radically resected between 1995 and 2009 and were treated adjuvantly with mitotane targeting concentrations of 14-20 mg/l. Main outcome measures: RFS (primary) and overall survival (secondary). Results: Of the 122 patients included, 63 patients (52%) reached and maintained during a median follow-up of 36 months the target mitotane concentrations (group 1) and 59 patients (48%) did not (group 2). ACC recurrence was observed in 22 patients of group 1 (35%) and 36 patients in group 2 (61%). In multivariable analysis, the maintenance of target mitotane concentrations was associated with a significantly prolonged RFS (hazard ratio (HR) of recurrence: 0.418, 0.22-0.79; PZ0.007), while the risk of death was not significantly altered (HR: 0.59, PZ0.20). Grades 3-4 toxicity was observed in 11 patients (9%) and was managed with temporary mitotane discontinuation. None of the patients discontinued mitotane definitively for toxicity. Conclusions: Mitotane concentrations R14 mg/l predict response to adjuvant treatment being associated with a prolonged RFS. A monitored adjuvant mitotane treatment may benefit patients after radical removal of ACC.
Background: There is a strong rationale in the use of antiangiogenic therapy in the management of adrenocortical carcinoma (ACC). Metronomic administration of chemotherapy and antiangiogenic drugs can be synergistic in targeting endothelial cells. Objective: We assessed the activity of sorafenib plus metronomic paclitaxel as second/third-line therapy in advanced ACC patients. We also tested the activity of sorafenib and paclitaxel against NCI-H295R in vitro. Design: Multicenter, prospective phase II trial. Setting: Referral centers for ACC. Methods: Twenty-five consecutive metastatic ACC patients who progressed after mitotane plus one or two chemotherapy lines were planned to be enrolled. The patients received a combination of i.v. paclitaxel (60 mg/m 2 every week) and oral sorafenib (400 mg twice a day) till progression. The primary aim was to measure the progression-free survival rate after 4 months and the secondary aims were to assess the objective response rate and toxicity. Results: Tumor progression was observed in nine evaluable patients at the first assessment. These results led to the premature interruption of the trial. The treatment was well tolerated. The most relevant toxicities were fatigue, being grade 2 or 3 in four patients, and hypophosphatemia, being grade 3 in three patients. In the in vitro study, sorafenib impaired the viability of H295R cells with dose-response and time-response relationships. The in vitro sorafenib activity was not increased in combination with paclitaxel. Conclusions: Despite the in vitro activity, sorafenib plus weekly paclitaxel is an inactive salvage treatment in patients with advanced ACC and should not be recommended.
GEM-based chemotherapy is a well-tolerated, but modestly active, regimen against advanced ACC. No reliable molecular predictive factors could be identified. Owing to the scarce alternative therapeutic options, GEM-based chemotherapy remains an important option for salvage treatment for advanced ACC.
Context Urine steroid metabolomics, combining mass spectrometry-based steroid profiling and machine learning, has been described as a novel diagnostic tool for detection of adrenocortical carcinoma (ACC). Objective, Design, Setting This proof-of-concept study evaluated the performance of urine steroid metabolomics as a tool for postoperative recurrence detection after microscopically complete (R0) resection of ACC. Patients and Methods 135 patients from 14 clinical centers provided postoperative urine samples, which were analyzed by gas chromatography–mass spectrometry. We assessed the utility of these urine steroid profiles in detecting ACC recurrence, either when interpreted by expert clinicians or when analyzed by random forest, a machine learning-based classifier. Radiological recurrence detection served as the reference standard. Results Imaging detected recurrent disease in 42 of 135 patients; 32 had provided pre- and post-recurrence urine samples. 39 patients remained disease-free for ≥3 years. The urine “steroid fingerprint” at recurrence resembled that observed before R0 resection in the majority of cases. Review of longitudinally collected urine steroid profiles by 3 blinded experts detected recurrence by the time of radiological diagnosis in 50% to 72% of cases, improving to 69% to 92%, if a preoperative urine steroid result was available. Recurrence detection by steroid profiling preceded detection by imaging by more than 2 months in 22% to 39% of patients. Specificities varied considerably, ranging from 61% to 97%. The computational classifier detected ACC recurrence with superior accuracy (sensitivity = specificity = 81%). Conclusion Urine steroid metabolomics is a promising tool for postoperative recurrence detection in ACC; availability of a preoperative urine considerably improves the ability to detect ACC recurrence.
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