Scientific article
Review
OA Policy
English

Perspectives on the role of “-Omics” in predicting response to immunotherapy

Published inEuropean journal of cancer, vol. 220, 115393
Publication date2025-05
First online date2025-03-30
Abstract

The annual Immuno-Oncology "Think Tank" held in October 2023 in Siena reviewed the rapidly evolving systems-biological approaches which are now providing a deeper understanding of tumor and tumor microenvironment heterogeneity. Based on this understanding opportunities for novel therapies may be identified to overcome resistance to immunotherapy. There is increasing evidence that malignant disease processes are not limited to purely intracellular or genetic events but constitute a dynamic interaction between the host and disease. Tumor responses are influenced by many host tissue determinants across different cellular compartments, which can now be investigated by high-throughput molecular profiling technologies, often labelled with a suffix "-omics". "Omics" together with ever increasing computational power, fast developments in machine learning, and high-resolution detection tools offer an unrivalled opportunity to connect high-dimensional data and create a holistic view of disease processes in cancer. This review describes advances in several state-of-the-art "-omics" approaches with perspectives on how these can be applied to the clinical development of new immunotherapeutic strategies and ultimately adopted in clinical practice.

Keywords
  • Dark matter
  • Epigenetics
  • Immunotherapy
  • Systems biology
  • Tumor microenvironment
  • “omics”-based biology
Citation (ISO format)
DI GIACOMO, Anna Maria et al. Perspectives on the role of “-Omics” in predicting response to immunotherapy. In: European journal of cancer, 2025, vol. 220, p. 115393. doi: 10.1016/j.ejca.2025.115393
Main files (1)
Article (Published version)
Identifiers
Journal ISSN0959-8049
28views
177downloads

Technical informations

Creation26/08/2025 09:48:54
First validation02/09/2025 09:39:46
Update02/09/2025 09:39:46
Status update02/09/2025 09:39:46
Last indexation18/09/2025 15:11:24
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack