Rationale: Hematological malignancies have always been a challenge for scientists because there is a constant need to better define these entities. Myelodysplastic syndromes (MDS) are clonal hematopoietic disorders characterized by ineffective hematopoiesis. Cytogenetics and molecular findings are a prerequisite for these syndromes as they confirm the clonal nature of the disease.
View Article and Find Full Text PDFThe plethora of available disease prediction models and the ongoing process of their application into clinical practice - following their clinical validation - have created new needs regarding their efficient handling and exploitation. Consolidation of software implementations, descriptive information, and supportive tools in a single place, offering persistent storage as well as proper management of execution results, is a priority, especially with respect to the needs of large healthcare providers. At the same time, modelers should be able to access these storage facilities under special rights, in order to upgrade and maintain their work.
View Article and Find Full Text PDFE2F-1 is the best-described member of the E2F family of transcriptional factors and is particularly interesting in view of its often opposing roles. Our purpose was to examine the immunohistochemical expression of E2F-1 in Hodgkin lymphoma (HL) and to correlate it with proliferation and apoptosis of the tumor, clinicopathological parameters and patient outcome, as well as with expression of the downstream molecules p53 and p21. The median percentage of E2F-1-expressing Hodgkin Reed-Sternberg (HRS) cells was 80.
View Article and Find Full Text PDFAngiogenesis leads to new blood vessel formation and is implicated in both physiological and pathological situations. The vascular endothelial growth factor (VEGF) family is the major mediator of this process. The aim of our study was to evaluate the expression of VEGF-A, vascular endothelial growth factor receptor-1 (VEGFR-1) and VEGFR-2 and their correlation with clinicopathological parameters and prognosis in patients with classical Hodgkin lymphoma (cHL), since the role of angiogenesis in this tumor still remains unclear.
View Article and Find Full Text PDFIn the past decades a great progress in cancer research has been made although medical treatment is still widely based on empirically established protocols which have many limitations. Computational models address such limitations by providing insight into the complex biological mechanisms of tumor progression. A set of clinically-oriented, multiscale models of solid tumor dynamics has been developed by the In Silico Oncology Group (ISOG), Institute of Communication and Computer Systems (ICCS)-National Technical University of Athens (NTUA) to study cancer growth and response to treatment.
View Article and Find Full Text PDFThe development of computational models for simulating tumor growth and response to treatment has gained significant momentum during the last few decades. At the dawn of the era of personalized medicine, providing insight into complex mechanisms involved in cancer and contributing to patient-specific therapy optimization constitute particularly inspiring pursuits. The in silico oncology community is facing the great challenge of effectively translating simulation models into clinical practice, which presupposes a thorough sensitivity analysis, adaptation and validation process based on real clinical data.
View Article and Find Full Text PDF