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Jeremy A. Squire

Researcher at University of São Paulo

Publications -  349
Citations -  41173

Jeremy A. Squire is an academic researcher from University of São Paulo. The author has contributed to research in topics: Comparative genomic hybridization & Fluorescence in situ hybridization. The author has an hindex of 87, co-authored 344 publications receiving 38764 citations. Previous affiliations of Jeremy A. Squire include University of Toronto & Kingston General Hospital.

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Cytogenetic Findings in 36 Osteosarcoma Specimens and a Review of the Literature

TL;DR: Examination of the cytogenetic findings of 36 osteosarcoma specimens and a review of the literature reveals that chromosomal bands or regions Ip11-13, Iq11-12, and Iq21-22 are most frequently rearranged, and the most common numerical abnormalities are +1, −9, −10, −13, and −17.
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Molecular genetic, cytogenetic, and immunohistochemical characterization of alveolar soft-part sarcoma. Implications for cell of origin.

TL;DR: Alveolar soft‐part sarcoma is a rare tumor of uncertain histogenesis that has no known cause, but the mechanism behind its development is unknown.
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Molecular characterization of deletion breakpoints in adults with 22q11 deletion syndrome

TL;DR: Neither deletion extent nor PRODH haploinsufficiency appeared to explain the clinical expression of schizophrenia in the present study, and the results delineate proximal and distal breakpoint variants in 22q11DS.
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Identification of PEG10 as a progression related biomarker for hepatocellular carcinoma.

TL;DR: The present study demonstrated the usefulness of integrated genomic and expression profilings in identifying candidate genes within regions of genomic alteration and suggested that PEG10 may be a potential biomarker in the progressive development of HCC and that genomic gain represents one of the major mechanisms in the induction of P EG10 over-expressions.
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Defining a 0.5-Mb Region of Genomic Gain on Chromosome 6p22 in Bladder Cancer by Quantitative-Multiplex Polymerase Chain Reaction

TL;DR: These findings demonstrate the power of QM-PCR to narrow the regions identified by CGH to facilitate identifying specific candidate oncogenes and also represents the first study identifying DNA copy number increases for DEK in bladder cancer.