Prediction and monitoring of relapse in stage III melanoma using circulating tumor DNA.

BACKGROUND: The advent of effective adjuvant therapies for patients with resected melanoma has highlighted the need to stratify patients based on risk of relapse given the cost and toxicities associated with treatment. Here we assessed circulating tumor DNA (ctDNA) to predict and monitor relapse in resected stage III melanoma. PATIENTS AND METHODS: Somatic mutations were identified in 99/133 (74%) patients through tumor tissue sequencing. Personalized droplet digital PCR (ddPCR) assays were used to detect known mutations in 315 prospectively collected plasma samples from mutation-positive patients. External validation was performed in a prospective independent cohort (n = 29). RESULTS: ctDNA was detected in 37 of 99 (37%) individuals. In 81 patients who did not receive adjuvant therapy, 90% of patients with ctDNA detected at baseline and 100% of patients with ctDNA detected at the postoperative timepoint relapsed at a median follow up of 20 months. ctDNA detection predicted patients at high risk of relapse at baseline [relapse-free survival (RFS) hazard ratio (HR) 2.9; 95% confidence interval (CI) 1.5-5.6; P = 0.002] and postoperatively (HR 10; 95% CI 4.3-24; P < 0.001). ctDNA detection at baseline [HR 2.9; 95% CI 1.3-5.7; P = 0.003 and postoperatively (HR 11; 95% CI 4.3-27; P < 0.001] was also associated with inferior distant metastasis-free survival (DMFS). These findings were validated in the independent cohort. ctDNA detection remained an independent predictor of RFS and DMFS in multivariate analyses after adjustment for disease stage and BRAF mutation status. CONCLUSION: Baseline and postoperative ctDNA detection in two independent prospective cohorts identified stage III melanoma patients at highest risk of relapse and has potential to inform adjuvant therapy decisions.

Docetaxel pharmacokinetics and its correlation with two in vivo probes for cytochrome P450 enzymes: the C(14)-erythromycin breath test and the antipyrine clearance test.

BACKGROUND: Docetaxel has marked inter-patient PK variability, and metabolic phenotypic probes may enable individualised dosing. This is the first report directly comparing the erythromycin breath test (EBT) (a CYP3A4 probe) with the antipyrine clearance test (ACT), (a general CYP-P450/predominant CYP3A4 probe) for the correlation with docetaxel PK and toxicity. METHODS: Patients pretherapy underwent: (A) EBT: IV C(14)[N-methyl]-erythromycin was administered and breath samples analysed for (14)CO(2), derived parameters included (1) (14)CO(2) flux at 10-min (CO(2)f(10)), (2) 20-min (CO(2)f(20)), (3) terminal rate constant k(CO2) and (4) AUC(CO2,(0-∞)) and AUC(CO2,(0-60).) (B) ACL test: patients were given oral antipyrine 10 mg/kg, blood samples were taken for PK, and the clearance (CL(Ant)) was derived. Docetaxel was then given at 75 mg/m(2)/3-weekly or 35 mg/m(2)/weekly. Samples taken for docetaxel PK in first course on day 1 and PK parameters included clearance (CL(Doc)). RESULTS: Twenty patients accrued, docetaxel: 3-weekly/weekly = 13:7. EBT parameters (N = 19) (mean, [CV%]): CO(2)f(10) (%/min) 0.051 (106), CO(2)f(20) 0.052 (82), k(CO2) (min(-1)) 0.007 (22), AUC(CO2,(0-∞)) 7.9 (85), AUC(CO2,(0-60)) 2.64 (81). CL(Ant) (N = 19) (ml/min); 35.8 (37). Docetaxel PK parameters (N = 19): CL(Doc) (l/h) = 57.2 (36), t(Doc1/2) (h) = 12.7 (33). No correlations were observed between the docetaxel PK and EBT parameters. For docetaxel weekly patients, a significant linear relationship was observed between CL(Doc) and CL(Ant) (P = 0.007, R (2) = 79.47%). CONCLUSIONS: The utility of EBT for the prediction of docetaxel PK was not confirmed in this study. The antipyrine clearance test may be superior in this regard for docetaxel, but regimen dependent and hence warrants further evaluation.