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Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging.
Sans, Marta; Gharpure, Kshipra; Tibshirani, Robert; Zhang, Jialing; Liang, Li; Liu, Jinsong; Young, Jonathan H; Dood, Robert L; Sood, Anil K; Eberlin, Livia S.
Afiliação
  • Sans M; Department of Chemistry, The University of Texas at Austin, Austin, Texas.
  • Gharpure K; Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Tibshirani R; Departments of Biomedical Data Sciences and Statistics, Stanford University, Stanford, California.
  • Zhang J; Department of Chemistry, The University of Texas at Austin, Austin, Texas.
  • Liang L; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Liu J; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Young JH; Department of Chemistry, The University of Texas at Austin, Austin, Texas.
  • Dood RL; Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Sood AK; Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. liviase@utexas.edu asood@mdanderson.org.
  • Eberlin LS; Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Cancer Res ; 77(11): 2903-2913, 2017 06 01.
Article em En | MEDLINE | ID: mdl-28416487
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Biomarcadores Tumorais / Cistadenocarcinoma Seroso / Neoplasias Epiteliais e Glandulares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Cancer Res Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Biomarcadores Tumorais / Cistadenocarcinoma Seroso / Neoplasias Epiteliais e Glandulares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Cancer Res Ano de publicação: 2017 Tipo de documento: Article