TY - JOUR
T1 - The Society for Immunotherapy of Cancer Perspective on Tissue-Based Technologies for Immuno-Oncology Biomarker Discovery and Application
AU - Monette, Anne
AU - Aguilar-Mahecha, Adriana
AU - Altinmakas, Emre
AU - Angelos, Mathew G.
AU - Assad, Nima
AU - Batist, Gerald
AU - Bommareddy, Praveen K.
AU - Bonilla, Diana L.
AU - Borchers, Christoph H.
AU - Church, Sarah E.
AU - Ciliberto, Gennaro
AU - Cogdill, Alexandria P.
AU - Fattore, Luigi
AU - Hacohen, Nir
AU - Haris, Mohammad
AU - Lacasse, Vincent
AU - Lie, Wen Rong
AU - Mehta, Arnav
AU - Ruella, Marco
AU - Sater, Houssein Abdul
AU - Spatz, Alan
AU - Taouli, Bachir
AU - Tarhoni, Imad
AU - Gonzalez-Kozlova, Edgar
AU - Tirosh, Itay
AU - Wang, Xiaodong
AU - Gnjatic, Sacha
N1 - Publisher Copyright: ©2024 American Association for Cancer Research.
PY - 2025/2/1
Y1 - 2025/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85216928683&partnerID=8YFLogxK
U2 - 10.1158/1078-0432.CCR-24-2469
DO - 10.1158/1078-0432.CCR-24-2469
M3 - مقالة مرجعية
C2 - 39625818
SN - 1078-0432
VL - 31
SP - 439
EP - 456
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 3
ER -