Sam Sater, Carlo B Bifulco, Jaime Rodriguez-Canales, Joe Yeong, Guray Akturk, Michael Angelo, Carmen Ballesteros-Merino, Peter Bankhead, Subham Basu, Jorge M Blando, Saska Brajkovic, Marco Cassano, Benjamin J Chen, Ahmet F Coskun, Tricia R Cottrell, Carlos E De Andrea, Robin H Edwards, Colt Egelston, Logan L Engle, Marc S Ernstoff, Rong Fan, Michael Feldman, Bernard A Fox, Jerome Galon, Robyn Gartrell, Sacha Gnjatic, Benjamin F Green, James L Gulley, Anne Hellebust, Stephen Hewitt, Travis J Hollmann, Lucas A Horn, William J Howat, Clifford C Hoyt, Shawn M Jensen, Arutha Kulasinghe, Wiem Lassoued, Steven Lott, James Mansfield, Sebastian Marwitz, George Netto, David B Page, Edwin Parra, David L Rimm, Scott J Rodig, Roberto Salgado, Denis Schapiro, Kurt A Schalper, Joel C Sunshine, Michael J Surace, Alexander S Szalay, Magdalena Thurin, Jose C Villasboas, Keith Wharton, Ignacio I Wistuba, Jennifer H Yearley, Yinyin Yuan, Geroge Zaki, James Ziai, Janis M Taube
Multiplex immunofluorescence and immunohistochemistry (mIF/IHC) are increasingly employed antibody-based technologies that use tissue sparingly and facilitate the detection of co-localized or neighboring biomarkers. Specifically, these platforms enable spatial analyses of the tumor microenvironment as well as extended applications, for example, describing normal tissue anatomy, autoimmunity, infectious diseases, etc. mIF/IHC has greatly enhanced biomarker discovery efforts, and a growing number of studies suggest superiority to traditional IHC. Standardization of staining approaches, reporting of image analysis strategies and resultant data is critical for facilitating cross-study comparisons, validation, deployment, and generalization of findings. To address this challenge, The Society for Immunotherapy of Cancer (SITC) previously published two articles providing best practice guidelines for mIF/IHC staining, image analysis, and data sharing. Here, SITC convened stakeholders to develop the third article in the series, a consensus checklist for scientific reporting of mIF/IHC data to support and complement the best practice guidelines. The checklist includes critical components of mIF/IHC applications to be defined within publications such as detailed descriptions of analytical validation; image acquisition, selection, and registration methods; and cell clustering and spatial analysis strategies, amongst others. Such information will help with data reproducibility and comparison across studies towards future drug and assay development.