Characterizing the Tumor Immune Microenvironment with Tyramide-Based Multiplex Immunofluorescence

被引:0
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作者
Hidetoshi Mori
Jennifer Bolen
Louis Schuetter
Pierre Massion
Clifford C. Hoyt
Scott VandenBerg
Laura Esserman
Alexander D. Borowsky
Michael J. Campbell
机构
[1] University of California,Center for Immunology and Infectious Diseases
[2] University of California San Francisco,Department of Pathology
[3] Vanderbilt University Medical Center,Department of Medicine
[4] Akoya Biosciences Inc,Department of Surgery
[5] University of California San Francisco,Mt Zion Carol Franc Buck Breast Care Center
[6] University of California San Francisco,Department of Pathology and Laboratory Medicine, School of Medicine
[7] University of California Davis,undefined
关键词
Breast cancer; Immune cells; Immunohistochemistry; Multiplex;
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学科分类号
摘要
Multiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.
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页码:417 / 432
页数:15
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