Retinogenesis involves expansion of pluripotent progenitors, specification of postmitotic precursors, and terminal differentiation. Rb or Rb/p107 loss causes retinoblastoma in humans or mice, respectively. One model suggests that Rb- or Rb/p107-deficient retinal precursors have infinite proliferative capacity but are death-prone and must acquire an antiapoptotic mutation. Indeed, we show that Rb/p107 loss does not affect progenitor proliferation or precursor specification, but perturbs cell cycle exit in all seven retinal precursors. However, three precursors survive Rb/p107-loss and stop proliferating following terminal differentiation. Tumors arise from precursors that escape this delayed growth arrest. Thus, retinoblastoma arises from a precursor that has extended, not infinite, proliferative capacity, and is intrinsically death-resistant, not death-prone. We suggest that additional lesions common in retinoblastoma overcome growth arrest, not apoptosis.
Epithelial ovarian cancer is the most lethal gynecological malignancy, and disease-specific biomarkers are urgently needed to improve diagnosis, prognosis, and to predict and monitor treatment efficiency. We present an in-depth proteomic analysis of selected biochemical fractions of human ovarian cancer ascites, resulting in the stringent and confident identification of over 2500 proteins. Rigorous filter schemes were applied to objectively minimize the number of false-positive identifications, and we only report proteins with substantial peptide evidence. Integrated computational analysis of the ascites proteome combined with several recently published proteomic data sets of human plasma, urine, 59 ovarian cancer related microarray data sets, and protein-protein interactions from the Interologous Interaction Database I 2 D (http://ophid.utoronto.ca/i2d) resulted in a short-list of 80 putative biomarkers. The presented proteomics analysis provides a significant resource for ovarian cancer research, and a framework for biomarker discovery.
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