Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential.

Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of MM undeniably contributes to tumor dynamics.

MicroRNA Expression Profile in Bone Marrow and Lymph Nodes in B-Cell Lymphomas.

Hodgkin's lymphomas (HL) and the majority of non-Hodgkin's lymphomas (NHL) derive from different stages of B-cell differentiation. MicroRNA (miRNA) expression profiles change during lymphopoiesis. Thus, miRNA expression analysis can be used as a reliable diagnostic tool to differentiate tumors.

Effective Prognostic Model for Therapy Response Prediction in Acute Myeloid Leukemia Patients.

Acute myeloid leukemia (AML) is a hematopoietic disorder characterized by the malignant transformation of bone marrow-derived myeloid progenitor cells with extremely short survival. To select the optimal treatment options and predict the response to therapy, the stratification of AML patients into risk groups based on genetic factors along with clinical characteristics is carried out. Despite this thorough approach, the therapy response and disease outcome for a particular patient with AML depends on several patient- and tumor-associated factors.

[Endocrine disorders after combined chemoradiotherapy in Hodgkin Lymphoma survivors].

Background: Hodgkin's lymphoma (HL) is one of the most common malignant lymphoproliferative diseases. Chemotherapy and radiotherapy used in the treatment of LH induce a number of toxic effects leading to dysfunction of endocrine system. Hormonal disorders in HL and their relationships with the therapy used remain to be clarified.