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- Leitao, Mario M, Jr, et al.
(author)
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Gynecologic Cancer InterGroup (GCIG) consensus review for vulvovaginal melanomas.
- 2014
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In: International Journal of Gynecological Cancer. - : Lippincott Williams & Wilkins. - 1048-891X .- 1525-1438. ; 24:9, s. S117-S122
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Research review (peer-reviewed)abstract
- Vulvovaginal melanomas are rare tumors that account for a small fraction of all vulvovaginal cancers. Biologically, they seem to be similar to mucosal and acral melanomas of other sites. There are limited data specific to vulvovaginal melanomas, especially regarding systemic therapies. Most treatment decisions are based on extrapolation from data regarding cutaneous melanomas of other sites. It is reasonable to follow already established guidelines from other professional groups and societies. Outcomes tend to be worse compared with cutaneous melanomas likely because of the later presentation and physical biological characteristics of these tumors.
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| 2. |
- Pujade-Lauraine, Eric, et al.
(author)
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Volasertib Versus Chemotherapy in Platinum-Resistant or -Refractory Ovarian Cancer : A Randomized Phase II Groupe des Investigateurs Nationaux pour l'Etude des Cancers de l'Ovaire Study
- 2016
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In: Journal of Clinical Oncology. - 0732-183X .- 1527-7755. ; 34:7, s. 706-
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Journal article (peer-reviewed)abstract
- Purpose Volasertib is a potent and selective cell-cycle kinase inhibitor that induces mitotic arrest and apoptosis by targeting Polo-like kinase. This phase II trial evaluated volasertib or single-agent chemotherapy in patients with platinum-resistant or -refractory ovarian cancer who experienced failure after treatment with two or three therapy lines. Patients and Methods Patients were randomly assigned to receive either volasertib 300 mg by intravenous infusion every 3 weeks or an investigator's choice of single-agent, nonplatinum, cytotoxic chemotherapy. The primary end point was 24-week disease control rate. Secondary end points included best overall response, progression-free survival (PFS), safety, quality of life, and exploratory biomarker analyses. Results Of the 109 patients receiving treatment, 54 received volasertib and 55 received chemotherapy; demographics were well balanced. The 24-week disease control rates for volasertib and chemotherapy were 30.6% (95% CI, 18.0% to 43.2%) and 43.1% (95% CI, 29.6% to 56.7%), respectively, with partial responses in seven (13.0%) and eight (14.5%) patients, respectively. Median PFS was 13.1 weeks and 20.6 weeks for volasertib and chemotherapy (hazard ratio, 1.01; 95% CI, 0.66 to 1.53). Six patients (11%) receiving volasertib achieved PFS fore more than 1 year, whereas no patient receiving chemotherapy achieved PFS greater than 1 year. No relationship between the expression of the biomarkers tested and their response was determined. Patients treated with volasertib experienced more grade 3 and 4 drug-related hematologic adverse events (AEs) and fewer nonhematologic AEs than did patients receiving chemotherapy. Discontinuation resulting from AEs occurred in seven (13.0%) and 15 (27.3%) patients in the volasertib and chemotherapy arms, respectively. Both arms showed similar effects on quality of life. Conclusion Single-agent volasertib showed antitumor activity in patients with ovarian cancer. AEs in patients receiving volasertib were mainly hematologic and manageable.
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| 3. |
- Steimer, Jean-Louis, et al.
(author)
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Modelling the genesis and treatment of cancer : the potential role of physiologically based pharmacodynamics
- 2010
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In: European Journal of Cancer. - : Elsevier BV. - 0959-8049 .- 1879-0852. ; 46:1, s. 21-32
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Journal article (peer-reviewed)abstract
- Physiologically based modelling of pharmacodynamics/toxicodynamics requires an a priori knowledge on the underlying mechanisms causing toxicity or causing the disease. In the context of cancer, the objective of the expert meeting was to discuss the molecular understanding of the disease, modelling approaches used so far to describe the process, preclinical models of cancer treatment and to evaluate modelling approaches developed based on improved knowledge. Molecular events in cancerogenesis can be detected using 'omics' technology, a tool applied in experimental carcinogenesis, but also for diagnostics and prognosis. The molecular understanding forms the basis for new drugs, for example targeting protein kinases specifically expressed in cancer. At present, empirical preclinical models of tumour growth are in great use as the development of physiological models is cost and resource intensive. Although a major challenge in PKPD modelling in oncology patients is the complexity of the system, based in part on preclinical models, successful models have been constructed describing the mechanism of action and providing a tool to establish levels of biomarker associated with efficacy and assisting in defining biologically effective dose range selection for first dose in man. To follow the concentration in the tumour compartment enables to link kinetics and dynamics. in order to obtain a reliable model of tumour growth dynamics and drug effects, specific aspects of the modelling of the concentration-effect relationship in cancer treatment that need to be accounted for include: the physiological/circadian rhythms of the cell cycle; the treatment with combinations and the need to optimally choose appropriate combinations of the multiple agents to study; and the schedule dependence of the response in the clinical situation.
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