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Daniel C. Chung

Researcher at Harvard University

Publications -  307
Citations -  27050

Daniel C. Chung is an academic researcher from Harvard University. The author has contributed to research in topics: Colorectal cancer & Cancer. The author has an hindex of 69, co-authored 290 publications receiving 24211 citations. Previous affiliations of Daniel C. Chung include University of Pennsylvania & Google.

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Defining molecular classifications and targets in gastroenteropancreatic neuroendocrine tumors through DNA microarray analysis

TL;DR: Gene expression profiles reflect the current WHO classification and can distinguish benign from malignant P NETs and also PNETs from GI-NETs, and PDGFR and RET are candidates that may represent novel therapeutic targets.
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Hedgehog promotes neovascularization in pancreatic cancers by regulating Ang-1 and IGF-1 expression in bone-marrow derived pro-angiogenic cells.

TL;DR: The BMPCs are identified as alternative stromal targets of Hh-ligand in PDAC suggesting that the tumor vasculature is an attractive therapeutic target of HH blockade, consistent with the emerging concept that BM-derived cells make important contributions to epithelial tumorigenesis.
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Natural History of the Central Structural Abnormalities in Choroideremia : A Prospective Cross-Sectional Study

TL;DR: Abnormalities of the POS and rod dysfunction are the earliest central abnormalities observed in choroideremia, and foveal function is relatively preserved until the fifth decade of life.
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Overexpression of cyclin D1 occurs frequently in human pancreatic endocrine tumors.

TL;DR: Overexpression of cyclin D1 was identified in 43% of cases, and no correlation was observed with clinical phenotype, which suggests that this established oncogene may be implicated in the pathogenesis of human PETs.
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Molecular Pathogenesis of Neuroendocrine Tumors: Implications for Current and Future Therapeutic Approaches

TL;DR: The results of clinical trials have shown that the VEGF pathway inhibitor sunitinib and the mTOR inhibitor everolimus have efficacy in patients with advanced pancreatic NETs, suggesting that the molecular characterization of NETs may provide an avenue to predict both which patients may benefit most from the treatment and to overcome potential drug resistance.