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Imaging Mass Spectrometry Is an Accurate Tool in Differentiating Clear Cell Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma: A Proof-of-concept Study.
Lu, Hsiang-Chih; Patterson, Nathan Heath; Judd, Audra M; Reyzer, Michelle L; Sehn, Jennifer K.
Afiliación
  • Lu HC; Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Patterson NH; Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, TN.
  • Judd AM; Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, TN.
  • Reyzer ML; Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, TN.
  • Sehn JK; Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO.
J Histochem Cytochem ; 68(6): 403-411, 2020 06.
Article en En | MEDLINE | ID: mdl-32466698
Clear cell renal cell carcinoma (ccRCC) and chromophobe renal cell carcinoma (chRCC) are relatively common tumors that can have significant risk for mortality. Treatment and prognostication in renal cell carcinoma (RCC) are dependent upon correct histologic typing. ccRCC and chRCC are generally straightforward to diagnose based on histomorphology alone. However, high-grade ccRCC and chRCC can sometimes resemble each other morphologically, particularly in small biopsies. Multiple immunostains and/or colloidal iron stain are sometimes required to differentiate the two. Imaging mass spectrometry (IMS) allows simultaneous spatial mapping of thousands of biomarkers, using formalin-fixed paraffin-embedded tissue sections. In this study, we evaluate the ability of IMS to differentiate between World Health Organization/International Society for Urological Pathology grade 3 ccRCC and chRCC. IMS spectra from a training set of 14 ccRCC and 13 chRCC were evaluated via support vector machine algorithm with a linear kernel for machine learning, building a classification model. The classification model was applied to a separate validation set of 6 ccRCC and 6 chRCC, with 19 to 20, 150-µm diameter tumor foci in each case sampled by IMS. Most evaluated tumor foci were classified correctly as ccRCC versus chRCC (99% accuracy, kappa=0.98), demonstrating that IMS is an accurate tool in differentiating high-grade ccRCC and chRCC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Carcinoma de Células Renales / Imagen Molecular / Neoplasias Renales Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Histochem Cytochem Asunto de la revista: HISTOCITOQUIMICA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Espectrometría de Masas / Carcinoma de Células Renales / Imagen Molecular / Neoplasias Renales Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: J Histochem Cytochem Asunto de la revista: HISTOCITOQUIMICA Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos