Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | e012280 |
| Journal | Journal for immunotherapy of cancer |
| Volume | 13 |
| Issue number | 12 |
| Early online date | 21 Dec 2025 |
| DOIs | |
| Publication status | E-pub ahead of print - 21 Dec 2025 |