A.T. van Oosterom

PURPOSE: This randomized trial evaluated antitumor activity of and survival asociated with high-dose-intensity chemotherapy with methotrexate, vinblastine, doxorubicin, and cisplatin (MVAC) plus granulocyte colony-stimulating factor (HD-MVAC) versus MVAC in patients with advanced transitional-cell carcinoma (TCC). PATIENTS AND METHODS: A total of 263 patients with metastatic or advanced TCC who had no prior chemotherapy were randomized to HD-MVAC (2-week cycles) or MVAC (4-week cycles). RESULTS: Using an intent-to-treat analysis, at a median follow-up of 38 months, on the HD-MVAC arm there were 28 complete responses (CRs) (21%) and 55 partial responses (PRs) (41%), for an overall response of 62% (95% confidence interval [CI], 54% to 70%). On the MVAC arm, there were 12 CRs (9%) and 53 PRs (41%), for an overall response of 50% (95% CI, 42% to 59%). The P value for the difference in CR rate was.009; and for the overall response, it was.06. There was no statistically significant difference in survival (P =.122) or time to progression (P =.114). Progression-free survival was significantly better with HD-MVAC (P=.037; hazard ratio.75; 95% CI.58 to.98). The median progression-free survival time was 9.1 months on the HD-MVAC arm versus 8.2 months on the MVAC arm. The 2-year progression-free survival rate was 24.7% for HD-MVAC (95% CI, 17.1% to 32.3%) versus 11.6% for MVAC (95% CI, 5.9% to 17.4%). CONCLUSION: With HD-MVAC, it was possible to deliver twice the doses of cisplatin and doxorubicin in half the time, with fewer dose delays and less toxicity. Although a 50% difference in median overall survival was not detected, a benefit was observed in progression-free survival, CR rates, and overall response rates with HD-MVAC.

PURPOSE: A total of 2,185 patients with advanced soft tissue sarcomas who had been treated in seven clinical trials investigating the use of doxorubicin- or epirubicin-containing regimens as first-line chemotherapy were studied in this prognostic-factor analysis. PATIENTS AND METHODS: Overall survival time (median, 51 weeks) and response to chemotherapy (26% complete response or partial response) were the two end points. The cofactors were sex; age; performance status; prior therapies; the presence of locoregional or recurrent disease; lung, liver, and bone metastases at the time of entry onto the trial; long time period between the initial diagnosis of sarcoma and entry onto the study; and histologic type and grade. RESULTS: Univariate analyses showed (a) a significant, favorable influence of good performance status, young age, and absence of liver metastases on both survival time and response rate, (b) a significant, favorable influence of low histopathologic disease grade on survival time, despite a significantly lower response rate, (c) increased survival time for patients with a long time period between the initial diagnosis of sarcoma and entry onto the study, despite equivalent response rates, and (d) increased survival time with liposarcoma or synovial sarcoma, a decreased survival time with malignant fibrous histiocytoma, a lower response rate with leiomyosarcoma, and a higher response rate with liposarcoma (P < .05 for all log-rank and chi2 tests). The Cox model selected good performance status (P < .0001), absence of liver metastases (P = .0001), low histopathologic grade (P = .0002), long time lapse since initial diagnosis (P = .0004), and young age (P = .0045) as favorable prognostic factors of survival time. The logistic model selected absence of liver metastases (P < .0001), young age (P = .0024), high histopathologic grade (P = .0051), and liposarcoma (P = .0065) as favorable prognostic factors of response rate. CONCLUSION: This analysis demonstrates that for advanced soft tissue sarcoma, response to chemotherapy is not predicted by the same factors as is overall survival time. This needs to be taken into account in the interpretation of trials assessing the value of new agents for this disease on the basis of response to treatment.

PURPOSE: The population pharmacokinetic/pharmacodynamic (PK/PD) approach was prospectively integrated in the clinical development of docetaxel to assess the PK profile in a large population of patients and investigate systemic exposure as a prognostic factor for clinical outcome. PATIENTS AND METHODS: PK analysis was performed at first course in 24 phase II studies of docetaxel monotherapy using four randomized limited-sampling schedules. Bayesian estimates of clearance (CL), area under the concentration-time curve (AUC), and peak and duration of plasma levels greater than threshold levels were used as measures of exposure. PD data included for efficacy, response rate, time to first response, and time to progression (TTP) in breast cancer and non-small-cell lung cancer (NSCLC), and for toxicity, grade 4 neutropenia, and febrile neutropenia at first course and time to onset of fluid retention. PK/PD analysis was conducted using logistic and Cox multivariate regression models. RESULTS: PK protocol implementation was successful. Most of the patients registered (721 of 936, 77%) were sampled and 68% were assessable for PK (640 patients). First-course docetaxel AUC was a significant predictor (P = .0232) of TTP in NSCLC (n = 151). Docetaxel CL was a strong independent predictor (P < .0001) of both grade 4 neutropenia and febrile neutropenia (n = 582). Cumulative dose was the strongest predictor (P < .0001) of the time to onset of fluid retention (n = 631). However, the duration of exposure over 0.20 micromol/L (0.16 microg/mL) at first course was an independent predictor (P = .0029). Few patients (n = 25, 4%) received the recommended dexamethasone premedication. CONCLUSION: First-course docetaxel PK is a predictor of first-course hematologic toxicity, but also of fluid retention, which is cumulative in nature. Patients with elevated hepatic enzymes have a 27% reduction in docetaxel CL and are at a higher risk of toxicity. A starting dose of 75 mg/m2 is currently being evaluated in this population. Prospective implementation of large-scale population PK/PD evaluation is feasible in early drug development and this approach generates clinically relevant findings.