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1.
Cancer Lett ; 376(2): 367-76, 2016 07 01.
Article in English | MEDLINE | ID: mdl-27085458

ABSTRACT

PURPOSE: Wilms tumor gene 1 (WT1), a zinc-finger transcription factor essential for testis development and function, along with other genes, was investigated for their role in the pathogenesis of testicular germ cell tumors (TGCT). METHODS: In total, 284 TGCT and 100 control samples were investigated, including qPCR for WT1 expression and BRAF mutation, p53 immunohistochemistry detection, and massively parallel amplicon sequencing. RESULTS: WT1 was significantly (p < 0.0001) under-expressed in TGCT, with an increased ratio of exon 5-lacking isoforms, reaching low levels in chemo-naïve relapsed TGCT patients vs. high levels in chemotherapy-pretreated relapsed patients. BRAF V600E mutation was identified in 1% of patients only. p53 protein was lowly expressed in TGCT metastases compared to the matched primary tumors. Of 9 selected TGCT-linked genes, RAS/BRAF and WT1 mutations were frequent while significant TP53 and KIT variants were not detected (p = 0.0003). CONCLUSIONS: WT1 has been identified as a novel factor involved in TGCT pathogenesis, with a potential prognostic impact. Distinct biologic nature of the two types of relapses occurring in TGCT has been demonstrated. Differential mutation rate of the key TGCT-related genes has been documented.


Subject(s)
Biomarkers, Tumor/genetics , Genes, ras , Mutation , Neoplasms, Germ Cell and Embryonal/genetics , Proto-Oncogene Proteins B-raf/genetics , Proto-Oncogene Proteins c-kit/genetics , Testicular Neoplasms/genetics , Tumor Suppressor Protein p53/genetics , WT1 Proteins/genetics , Cell Line, Tumor , DNA Mutational Analysis/methods , Down-Regulation , Feasibility Studies , Genetic Predisposition to Disease , High-Throughput Nucleotide Sequencing , Humans , Immunohistochemistry , Male , Neoplasms, Germ Cell and Embryonal/enzymology , Neoplasms, Germ Cell and Embryonal/pathology , Phenotype , Prospective Studies , Real-Time Polymerase Chain Reaction , Retrospective Studies , Testicular Neoplasms/enzymology , Testicular Neoplasms/pathology
2.
Differentiation ; 91(1-3): 19-28, 2016.
Article in English | MEDLINE | ID: mdl-26674556

ABSTRACT

Differentiation during hematopoiesis leads to the generation of many cell types with specific functions. At various stages of maturation, the cells may change pathologically, leading to diseases including acute leukemias (ALs). Expression levels of regulatory molecules (such as the IKZF, GATA, HOX, FOX, NOTCH and CEBP families, as well as SPI-1/PU1 and PAX5) and lineage-specific molecules (including CD2, CD14, CD79A, and BLNK) may be compared between pathological and physiological cells. Although the key steps of differentiation are known, the available databases focus mainly on fully differentiated cells as a reference. Precursor cells may be a more appropriate reference point for diseases that evolve at immature stages. Therefore, we developed a quantitative real-time polymerase chain reaction (qPCR) array to investigate 90 genes that are characteristic of the lymphoid or myeloid lineages and/or are thought to be involved in their regulation. Using this array, sorted cells of granulocytic, monocytic, T and B lineages were analyzed. For each of these lineages, 3-5 differentiation stages were selected (17 stages total), and cells were sorted from 3 different donors per stage. The qPCR results were compared to similarly processed AL cells of lymphoblastic (n=18) or myeloid (n=6) origins and biphenotypic AL cells of B cell origin with myeloid involvement (n=5). Molecules characteristic of each lineage were found. In addition, cells of a newly discovered switching lymphoblastic AL (swALL) were sorted at various phases during the supposed transdifferentiation from an immature B cell to a monocytic phenotype. As demonstrated previously, gene expression changed along with the immunophenotype. The qPCR data are publicly available in the LeukoStage Database in which gene expression in malignant and non-malignant cells of different lineages can be explored graphically and differentially expressed genes can be identified. In addition, the LeukoStage Database can aid the functional analyses of next-generation sequencing data.


Subject(s)
Cell Differentiation/genetics , Hematopoiesis/genetics , Leukemia, Biphenotypic, Acute/genetics , Neoplasm Proteins/biosynthesis , B-Lymphocytes/immunology , B-Lymphocytes/pathology , Cell Lineage/genetics , Gene Expression Regulation, Leukemic , Humans , Immunophenotyping , Leukemia, Biphenotypic, Acute/immunology , Leukemia, Biphenotypic, Acute/pathology , T-Lymphocytes/immunology , T-Lymphocytes/pathology , Tissue Array Analysis
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