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Immuno-oncology trends: preclinical models, biomarkers, and clinical development
The landscape in immuno-oncology (I-O) has undergone profound changes since its early beginnings up through the rapid advances happening today. The current drug development pipeline consists of thousands of potential I-O therapies and therapy combinations, many of which are being evaluated in clinic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756278/ https://www.ncbi.nlm.nih.gov/pubmed/35022192 http://dx.doi.org/10.1136/jitc-2021-003231 |
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author | Franklin, Maryland Rosenfeld Platero, Suso Saini, Kamal S Curigliano, Giuseppe Anderson, Steven |
author_facet | Franklin, Maryland Rosenfeld Platero, Suso Saini, Kamal S Curigliano, Giuseppe Anderson, Steven |
author_sort | Franklin, Maryland Rosenfeld |
collection | PubMed |
description | The landscape in immuno-oncology (I-O) has undergone profound changes since its early beginnings up through the rapid advances happening today. The current drug development pipeline consists of thousands of potential I-O therapies and therapy combinations, many of which are being evaluated in clinical trials. The efficient and successful development of these assets requires the investment in and utilization of appropriate tools and technologies that can facilitate the rapid transitions from preclinical evaluation through clinical development. These tools include (i) appropriate preclinical models, (ii) biomarkers of pharmacodynamic, predictive and monitoring utility, and (iii) evolving clinical trial designs that allow rapid and efficient evaluation during the development process. This article provides an overview of how novel discoveries and insights into each of these three areas have the potential to further address the clinical management needs for patients with cancer. |
format | Online Article Text |
id | pubmed-8756278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-87562782022-01-26 Immuno-oncology trends: preclinical models, biomarkers, and clinical development Franklin, Maryland Rosenfeld Platero, Suso Saini, Kamal S Curigliano, Giuseppe Anderson, Steven J Immunother Cancer Review The landscape in immuno-oncology (I-O) has undergone profound changes since its early beginnings up through the rapid advances happening today. The current drug development pipeline consists of thousands of potential I-O therapies and therapy combinations, many of which are being evaluated in clinical trials. The efficient and successful development of these assets requires the investment in and utilization of appropriate tools and technologies that can facilitate the rapid transitions from preclinical evaluation through clinical development. These tools include (i) appropriate preclinical models, (ii) biomarkers of pharmacodynamic, predictive and monitoring utility, and (iii) evolving clinical trial designs that allow rapid and efficient evaluation during the development process. This article provides an overview of how novel discoveries and insights into each of these three areas have the potential to further address the clinical management needs for patients with cancer. BMJ Publishing Group 2022-01-12 /pmc/articles/PMC8756278/ /pubmed/35022192 http://dx.doi.org/10.1136/jitc-2021-003231 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Franklin, Maryland Rosenfeld Platero, Suso Saini, Kamal S Curigliano, Giuseppe Anderson, Steven Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title | Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title_full | Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title_fullStr | Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title_full_unstemmed | Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title_short | Immuno-oncology trends: preclinical models, biomarkers, and clinical development |
title_sort | immuno-oncology trends: preclinical models, biomarkers, and clinical development |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756278/ https://www.ncbi.nlm.nih.gov/pubmed/35022192 http://dx.doi.org/10.1136/jitc-2021-003231 |
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