Ten challenges and opportunities in computational immuno-oncology

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-on...

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Bibliographic Details
Published in:Journal for immunotherapy of cancer 2024-10, Vol.12 (10), p.e009721
Main Authors: Bao, Riyue, Hutson, Alan, Madabhushi, Anant, Jonsson, Vanessa D, Rosario, Spencer R, Barnholtz-Sloan, Jill S, Fertig, Elana J, Marathe, Himangi, Harris, Lyndsay, Altreuter, Jennifer, Chen, Qingrong, Dignam, James, Gentles, Andrew J, Gonzalez-Kozlova, Edgar, Gnjatic, Sacha, Kim, Erika, Long, Mark, Morgan, Martin, Ruppin, Eytan, Valen, David Van, Zhang, Hong, Vokes, Natalie, Meerzaman, Daoud, Liu, Song, Van Allen, Eliezer M, Xing, Yi
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Biomarker
Biomarkers
Cancer therapies
Clinical outcomes
Clinical trials
Computational Biology - methods
Data science
Design
Drug development
Drug dosages
Education
Humans
Immune related adverse event - irAE
Immune system
Immunotherapy
Immunotherapy - methods
Medical Oncology - methods
Medical research
Neoplasms - immunology
Neoplasms - therapy
Oncology
Patients
Radiomics
Review
Statistics
Toxicity
Tumors
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Summary:Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary collaborations amid the constantly evolving interplay between clinical needs and technological innovation.
ISSN:2051-1426
2051-1426
DOI:10.1136/jitc-2024-009721