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  • 1
    Keywords: ANGIOGENESIS ; ADVANCED SOLID TUMORS ; carcinoma ; ENDOTHELIAL GROWTH-FACTOR ; THERAPY ; GENE-EXPRESSION ; CELL-LINES ; adenocarcinoma ; VEGF ; tyrosine kinase inhibitors
    Abstract: Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most common malignant tumours and is still associated with a poor prognosis in advanced disease. To improve the standard therapy with gemcitabine, we initiated a prospective randomised phase-II trial with gemcitabine (GEM) versus gemcitabine plus sunitinib (SUNGEM) based on data of in vitro trials and phase-I data for the combination treatment. The rational of adding sunitinib was its putative antiangiogenic mechanism of action. Methods: A total of 106 eligible patients with locally advanced, unresectable or metastatic PDAC without previous system therapy were randomised to receive GEM at a dosage of 1.000 mg/m(2) d1, 8, 15 q28 versus a combination of SUNGEM at a dosage of GEM 1.000 mg/m(2) d1 + 8 and sunitinib 50 mg p.o. d1-14, q21d. The primary end-point was progression free survival (PFS), secondary end-points were overall survival (OS), toxicity and overall response rate (ORR). Results: The confirmatory analysis of PFS was based on the intend-to-treat (ITT) population (N = 106). The median PFS was 13.3 weeks (95% confidence interval (95%-CI): 10.4-18.1 weeks) for GEM and 11.6 weeks for SUNGEM (95%-CI: 7.0-18.0 weeks; p = 0.78 one-sided log-rank). The ORR was 6.1% (95%-CI: 0.7-20.2%) for GEM and for 7.1% (95%-CI: 0.9-23.5%) for SUNGEM (p = 0.87). The median time to progression (TTP) was 14.0 weeks (95%-CI: 12.4-22.3 weeks) for GEM and 18.0 weeks (95%-CI: 11.3-19.3 weeks) for SUNGEM (p = 0.60; two-sided log-rank). The median OS was 36.7 weeks (95%-CI: 20.6-49.0 weeks) for the GEM arm and 30.4 weeks (95%-CI: 18.1-37.6 weeks) for the SUNGEM (p = 0.78, one-sided log-rank). In regard to toxicities, suspected SAEs were reported in 53.7% in the GEM arm and 71.2% in the SUNGEM arm. Grade 3 and 4 neutropenia was statistically significantly higher in the SUNGEM arm with 48.1% versus 27.8% in the GEM arm (p = 0.045, two sided log-rank). Conclusions: The combination SUNGEM was not sufficient superior in locally advanced or metastatic PDAC compared to GEM alone in regard to efficacy but was associated with more toxicity.
    Type of Publication: Journal article published
    PubMed ID: 25459392
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  • 2
    Abstract: Biomarker-stratified cancer pharmacotherapy was pioneered in the care of breast cancer patients. The utility of agents modulating hormone receptors, synthesis of steroid hormones, or HER2-targeting agents has been greatly enhanced by the detection of predictive biomarkers in diagnostic tumor samples. Based on deeper understanding of breast cancer biology multiple drug candidates have been developed to modulate additional molecular targets which may associate with specific biomarker profiles. Accordingly, exploratory biomarkers are increasingly incorporated in early clinical trials, thus demanding a new process of patient selection. Here, we describe the implementation of preemptive, multiplexed biomarker profiling linked to standard diagnostic algorithms for metastatic breast cancer patients treated at the West German Cancer Center. Profiling for experimental biomarkers was prospectively offered to patients with metastatic breast cancer who met generic clinical trial inclusion criteria. Formalin-fixed, paraffin-embedded tumor samples were retrieved and studied for potentially "actionable" biomarkers related to active clinical trials by immunohistochemistry, amplicon sequencing, and in situ hybridization. The clinical course of those "profiled" patients was closely monitored to offer trial participation whenever applicable. Here, we report results from the first 131 patients enrolled in this program. PIK3CA mutations (23 %) and amplifications (2 %), loss of PTEN expression (13 %), and FGFR1 amplifications (8 %) were detected next to established biomarkers such as estrogen (67 %) and progesterone receptor expression (52 %), and HER2 overexpression or amplification (23 %). So far 16 "profiled" patients (12 %) have been enrolled in biomarker-stratified early clinical trials. Preemptive profiling of investigational biomarkers can be integrated into the diagnostic algorithm of a large Comprehensive Cancer Center. Extensive administrative efforts are required to successfully enroll "profiled" patients with metastatic breast cancer in early clinical trials stratified by exploratory biomarkers.
    Type of Publication: Journal article published
    PubMed ID: 24122392
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  • 3
    Keywords: GROWTH ; CELL LUNG-CANCER ; PATHWAYS ; MUTATIONS ; sensitivity ; FUTURE ; THERAPIES
    Abstract: PURPOSE: Multiple investigational drugs are currently explored in cancer patient populations defined by specific biomarkers. This demands a new process of patient selection for clinical trials. PATIENTS AND METHODS: Starting January 1, 2012, preemptive biomarker profiling was offered at the West German Cancer Center to all patients with advanced non-small-cell lung (NSCLC) or colorectal cancer (CRC), who met generic study inclusion criteria. Tumour specimens were subjected to prespecified profiling algorithms to detect 'actionable biomarkers' by amplicon sequencing, in situ hybridisation and immunohistochemistry. The clinical course was closely monitored to offer trial participation whenever applicable. RESULTS: Within 12 months, 267 patients (188 NSCLC, 79 CRC) were profiled. Estimated additional cost for biomarker profiling was 219615.51 EUR excluding histopathology workup and administration. The most prevalent biomarkers in pulmonary adenocarcinoma were KRAS mutations (29%), loss of PTEN expression (18%), EGFR mutations (9%), HER2 amplification (5%) and BRAF mutations (3%), while the prevalence of ALK translocations and PIK3CA mutations was extremely low. In pulmonary squamous cell carcinoma FGFR1 amplifications were found in 15%, PTEN expression was lost in 20% and DDR2 was mutated in a single case. KRAS mutations (41%) predominated in CRC, followed by loss of PTEN expression (16%), PIK3CA (5%) and BRAF (5%) mutations. So far 13 patients (5%) have entered biomarker-stratified clinical trials. Therapeutic decisions for approved drugs were guided in another 45 patients (17%). CONCLUSION: Preemptive biomarker profiling can be implemented into the diagnostic algorithm of a large Comprehensive Cancer Center. Substantial investments in diagnostics and administration are required.
    Type of Publication: Journal article published
    PubMed ID: 23876834
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