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Reproducible, high-dimensional imaging in archival human tissue by multiplexed ion beam imaging by time-of-flight (MIBI-TOF).
Liu, Candace C; Bosse, Marc; Kong, Alex; Kagel, Adam; Kinders, Robert; Hewitt, Stephen M; Varma, Sushama; van de Rijn, Matt; Nowak, Stanislaw H; Bendall, Sean C; Angelo, Michael.
Afiliação
  • Liu CC; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • Bosse M; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • Kong A; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • Kagel A; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • Kinders R; Office of the Director, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, 20892, USA.
  • Hewitt SM; Experimental Pathology Laboratory, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Varma S; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • van de Rijn M; Department of Pathology, Stanford University, Stanford, CA, 94304, USA.
  • Nowak SH; Ionpath Inc, Menlo Park, CA, 94025, USA.
  • Bendall SC; Department of Pathology, Stanford University, Stanford, CA, 94304, USA. bendall@stanford.edu.
  • Angelo M; Department of Pathology, Stanford University, Stanford, CA, 94304, USA. mangelo0@stanford.edu.
Lab Invest ; 102(7): 762-770, 2022 07.
Article em En | MEDLINE | ID: mdl-35351966
ABSTRACT
Multiplexed ion beam imaging by time-of-flight (MIBI-TOF) is a form of mass spectrometry imaging that uses metal labeled antibodies and secondary ion mass spectrometry to image dozens of proteins simultaneously in the same tissue section. Working with the National Cancer Institute's (NCI) Cancer Immune Monitoring and Analysis Centers (CIMAC), we undertook a validation study, assessing concordance across a dozen serial sections of a tissue microarray of 21 samples that were independently processed and imaged by MIBI-TOF or single-plex immunohistochemistry (IHC) over 12 days. Pixel-level features were highly concordant across all 16 targets assessed in both staining intensity (R2 = 0.94 ± 0.04) and frequency (R2 = 0.95 ± 0.04). Comparison to digitized, single-plex IHC on adjacent serial sections revealed similar concordance (R2 = 0.85 ± 0.08) as well. Lastly, automated segmentation and clustering of eight cell populations found that cell frequencies between serial sections yielded an average correlation of R2 = 0.94 ± 0.05. Taken together, we demonstrate that MIBI-TOF, with well-vetted reagents and automated analysis, can generate consistent and quantitative annotations of clinically relevant cell states in archival human tissue, and more broadly, present a scalable framework for benchmarking multiplexed IHC approaches.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico por Imagem / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Lab Invest Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico por Imagem / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Lab Invest Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos