The Society for Immunotherapy of Cancer Perspective on Tissue-Based Technologies for Immuno-Oncology Biomarker Discovery and Application

Anne Monette*, Adriana Aguilar-Mahecha, Emre Altinmakas, Mathew G. Angelos, Nima Assad, Gerald Batist, Praveen K. Bommareddy, Diana L. Bonilla, Christoph H. Borchers, Sarah E. Church, Gennaro Ciliberto, Alexandria P. Cogdill, Luigi Fattore, Nir Hacohen, Mohammad Haris, Vincent Lacasse, Wen Rong Lie, Arnav Mehta, Marco Ruella, Houssein Abdul SaterAlan Spatz, Bachir Taouli, Imad Tarhoni, Edgar Gonzalez-Kozlova, Itay Tirosh, Xiaodong Wang, Sacha Gnjatic

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

5 Citations (Scopus)

Abstract

With immuno-oncology becoming the standard of care for a variety of cancers, identifying biomarkers that reliably classify patient response, resistance, or toxicity becomes the next critical barrier toward improving care. Multiparametric, multi-omics, and computational platforms generating an unprecedented depth of data are poised to usher in the discovery of increasingly robust biomarkers for enhanced patient selection and personalized treatment approaches. Deciding which developing technologies to implement in clinical settings ultimately, applied either alone or in combination, relies on weighing pros and cons, from minimizing patient sampling to maximizing data outputs, and assessing the reproducibility and representativeness of findings, while lessening data fragmentation toward harmonization. These factors are all assessed while taking into consideration the shortest turnaround time. The Society for Immunotherapy of Cancer Biomarkers Committee convened to identify important advances in biomarker technologies and to address advances in biomarker discovery using multiplexed IHC and immunofluorescence, their coupling to single-cell transcriptomics, along with mass spectrometry–based quantitative and spatially resolved proteomics imaging technologies. We summarize key metrics obtained, ease of interpretation, limitations and dependencies, technical improvements, and outward comparisons of these technologies. By highlighting the most interesting recent data contributed by these technologies and by providing ways to improve their outputs, we hope to guide correlative research directions and assist in their evolution toward becoming clinically useful in immuno-oncology.

Original languageEnglish
Pages (from-to)439-456
Number of pages18
JournalClinical Cancer Research
Volume31
Issue number3
DOIs
Publication statusPublished - 1 Feb 2025

Funding

The authors acknowledge Society for Immunotherapy of Cancer staff for their contributions, including Flynn DeWalt, Ellie Rickman, and Peter Intile, PhD, for support, project management, and editorial assistance. Additionally, the authors wish to thank the society for supporting the development of the manuscript.

All Science Journal Classification (ASJC) codes

  • General Medicine

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