Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing

mIHC/IF technologies are maturing and are routinely included in research studies and moving towards clinical use. Guidelines for how to perform and standardize image analysis on mIHC/IF-stained slides will likely contribute to more comparable results across laboratories and pave the way for clinical implementation. A checklist encompassing these two-part guidelines for the generation of robust data from quantitative mIHC/IF assays will be provided in a third publication from this task force. While the current effort is mainly focused on best practices for characterizing the tumor microenvironment, these principles are broadly applicable to any mIHC/IF assay and associated image analysis.

Authors

Institutions

Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2025-01-01
DOI
https://doi.org/10.1136/jitc-2024-008875
Citations
12
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
9.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing

Shirley Greenbaum, Michael R. Angelo, Jaime Rodriguez‐Canales, Jeffrey S Roskes et al.
12 citations
Journal for ImmunoTherapy of Cancer
Single-cell and spatial transcriptomics
9.67
article

Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing

Shirley Greenbaum, Michael R. Angelo, Jaime Rodriguez‐Canales, Jeffrey S Roskes, Jennifer H. Yearley, Alexander S. Szalay, Joel Sunshine, David L. Rimm, Ignacio I. Wistuba, Emanuel Schenck, Elizabeth L. Engle, Janis M. Taube, Kurt A. Schalper, Edwin R. Parra, Margaret Eminizer, Ana Lako, Travis J. Hollmann, Scott J. Rodig, Noah F. Greenwald, Carlo Bifulco, Michael T. Tetzlaff, Michael Surace, Cyrus V. Hedvat, Sacha Gnjatic, Daniel Jiménez‐Sánchez, Güray Aktürk, Benjamin Green, Konstanty Korski, Keith E. Steele, Marlon C. Rebelatto, Cláudia S. Ferreira
article en
12 citations

Abstract

mIHC/IF technologies are maturing and are routinely included in research studies and moving towards clinical use. Guidelines for how to perform and standardize image analysis on mIHC/IF-stained slides will likely contribute to more comparable results across laboratories and pave the way for clinical implementation. A checklist encompassing these two-part guidelines for the generation of robust data from quantitative mIHC/IF assays will be provided in a third publication from this task force. While the current effort is mainly focused on best practices for characterizing the tumor microenvironment, these principles are broadly applicable to any mIHC/IF assay and associated image analysis.

Journal for ImmunoTherapy of CancerVol. 13(1)
Roche (Switzerland) (CH), Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Bloomberg (United States) (US), Memorial Sloan Kettering Cancer Center (US), The University of Texas MD Anderson Cancer Center (US), Harvard University (US), Johns Hopkins University (US), University of California, San Francisco (US), Providence Portland Medical Center (US), Foundation Center (US), Yale University (US), Roche Pharma AG (Germany) (DE), Tisch Hospital (US), AstraZeneca (United States) (US), Dana-Farber Brigham Cancer Center (US), Daiichi Sankyo (United States) (US), Sidney Kimmel Comprehensive Cancer Center (US), Stanford University (US), Icahn School of Medicine at Mount Sinai (US)
Johns Hopkins University, Society for Immunotherapy of Cancer, Bloomberg~Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University
Partnerships for the goals
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
9.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.