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Search: WFRF:(Ludwig Wolf Dieter)

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1.
  • Lemez, Petr, et al. (author)
  • Childhood near-tetraploid acute lymphoblastic leukemia : an EGIL study on 36 cases
  • 2010
  • In: European Journal of Haematology. - : Wiley. - 0902-4441 .- 1600-0609. ; 85:4, s. 300-308
  • Journal article (peer-reviewed)abstract
    • OBJECTIVES: Patients with near-tetraploid (karyotype: 81 - 103 chromosomes) acute lymphoblastic leukemia (NT-ALL) constitute about 1% of childhood ALL and data reported on them are limited and controversial. The aim of the study was to enlarge the knowledge on these rarely occurring ALL. METHODS: The members of the European Group for Immunophenotyping of Leukemias (EGIL) searched retrospectively their databases for NT-ALL patients. RESULTS: We collected data of 36 European children from seven European countries with NT-ALL diagnosed since 1992. All patients reached complete remission (CR) after induction chemotherapy. Their blasts were negative for peroxidase and BCR-ABL1. Ten children were diagnosed as T-cell ALL (T-ALL) EGIL categories (T-I n=2, T-II n=2, T-III n=3, T-IV n=3) and four displayed various structural chromosomal abnormalities. Eight of 10 T-ALL remained in 1st CR; one died in CR from sepsis and one is alive in 2nd CR. Median survival was 88 (7-213) months. B-cell precursor (BCP) ALL was diagnosed in 26 children. Thirteen were positive for ETV6-RUNX1 and are alive in 1st CR for 32-147 months. Ten children were ETV6-RUNX1 negative and remained in 1st CR for 16-163 months. One girl with hypodiploid and NT metaphases and ETV6-RUNX1-negative BCP-ALL and one of two boys with NT-BCP-ALL not examined for ETV6-RUNX1 died of infection after stem cell transplantation in 2nd/3rd CR. Secondary myelodysplastic syndrome developed in two patients with NT-BCP-ALL. CONCLUSIONS: Our data demonstrate immunophenotypic, cytogenetic, and molecular heterogeneity of NT-ALL and favorable prognosis of most NT-ALL across different immunophenotypic and/or genetic ALL subtypes.
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2.
  • Steimer, Jean-Louis, et al. (author)
  • Modelling the genesis and treatment of cancer : the potential role of physiologically based pharmacodynamics
  • 2010
  • In: European Journal of Cancer. - : Elsevier BV. - 0959-8049 .- 1879-0852. ; 46:1, s. 21-32
  • 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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