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Optimization of Tissue Microarrays from Banked Human Formalin-Fixed Paraffin Embedded Tissues in the Cancer Research Setting.
Sexton, Tammy; Kucera, Gregory L; Levine, Edward A; Watabe, Kounosuke; O'Neill, Stacey S.
Afiliação
  • Sexton T; Wake Forest Baptist Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Kucera GL; Department of Internal Medicine, Section on Hematology and Oncology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Levine EA; Surgical Oncology Service, Department of General Surgery, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Watabe K; Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • O'Neill SS; Department of Pathology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Biopreserv Biobank ; 17(5): 452-457, 2019 Oct.
Article em En | MEDLINE | ID: mdl-31194582
ABSTRACT
The tissue microarray (TMA) is a powerful tool for cancer biomarker discovery and validation. Tens to hundreds of samples can be evaluated simultaneously for molecular marker status at the protein or nucleic acid level. Although fully automated or semiautomated technologies for TMA creation provide excellent precision with respect to core transfer, they do not obviate the need for technical expertise to successfully generate high-quality TMA blocks and derivative sections. We have leveraged our expanding bank of formalin-fixed paraffin embedded paired tumor and normal tissues in our academic cancer center to provide a rich source of input material for cancer research TMAs. In this study, we report a stepwise optimization of TMA generation parameters, including paraffin wax selection, tempering protocol, and sectioning conditions, to achieve the best ribbon sectioning.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Serial de Tecidos / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Serial de Tecidos / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article