生物标志物
生物标志物发现
医学
医学物理学
无线电技术
新兴技术
生命银行
计算机科学
数据科学
生物信息学
人工智能
蛋白质组学
生物
生物化学
基因
作者
Anne Monette,Adriana Aguilar‐Mahecha,Emre Altınmakas,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 Sater
标识
DOI:10.1158/1078-0432.ccr-24-3791
摘要
Abstract Immuno-oncology is increasingly becoming the standard of care for cancers, with the identification of biomarkers that reliably classify ICI response, resistance, and toxicity becoming the next frontier towards improvements in immunomodulatory treatment regimens. Recent advances in multi-parametric, multi-omics, and computational data platforms generating an unprecedented depth of data may assist in the discovery of increasingly robust biomarkers for enhanced patient selection and more personalized or longitudinal treatment approaches. Which emerging technologies to implement in future research and clinical settings, used alone or in combination, relies on weighing pros and cons that aid in maximizing data outputs whilst minimizing patient sampling, with high reproducibility and representativeness, and minimal turnaround time and data fragmentation towards later private and public dataset harmonization strategies. The Society for Immunotherapy of Cancer (SITC) Biomarkers Committee convened to identify important advances in biomarker technologies and to highlight advances in biomarker discovery using liquid biopsy and in vivo imaging technologies. We address advances in liquid biopsy technologies monitoring cells, proteins, nucleic acids, antibodies, and drugs or analytes, and radiomics technologies monitoring at the whole host-level imaging methods including immuno-PET and MRI technologies able to couple biomarker with physical location. We include a summary of key metrics obtained by these technologies, and their ease of interpretation, limitations and dependencies, technical improvements, and outward comparisons. By highlighting some of the most interesting recent examples contributed by these technologies, and providing examples improving outputs, we hope to guide correlative research directions and assist in their becoming clinically useful in immuno-oncology.
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