دورية أكاديمية
Rethinking the immunotherapy numbers game.
العنوان: | Rethinking the immunotherapy numbers game. |
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المؤلفون: | Bekker RA; Department of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.; Cancer Biology Ph.D. Program, University of South Florida, Tampa, Florida, USA., Zahid MU; Department of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA., Binning JM; Department of Molecular Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA., Spring BQ; Translational Biophotonics Cluster, Northeastern University, Boston, Massachusetts, USA.; Department of Physics, Northeastern University, Boston, Massachusetts, USA.; Department of Bioengineering, Northeastern University, Boston, Massachusetts, USA., Hwu P; Moffitt Cancer Center, Tampa, Florida, USA., Pilon-Thomas S; Department of Immunology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA., Enderling H; Department of Integrated Mathematical Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA heiko.enderling@moffitt.org.; Department of Radiation Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA. |
المصدر: | Journal for immunotherapy of cancer [J Immunother Cancer] 2022 Jul; Vol. 10 (7). |
نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101620585 Publication Model: Print Cited Medium: Internet ISSN: 2051-1426 (Electronic) Linking ISSN: 20511426 NLM ISO Abbreviation: J Immunother Cancer Subsets: MEDLINE |
أسماء مطبوعة: | Publication: 2020- : London, United Kingdom : BMJ Publishing Group Ltd. Original Publication: London : BioMed Central, 2013- |
مواضيع طبية MeSH: | Ecosystem* , Immunotherapy*, Humans ; Immunologic Factors ; Medical Oncology ; Tumor Microenvironment |
مستخلص: | Immunotherapies are a major breakthrough in oncology, yielding unprecedented response rates for some cancers. Especially in combination with conventional treatments or targeted agents, immunotherapeutics offer invaluable tools to improve outcomes for many patients. However, why not all patients have a favorable response remains unclear. There is an increasing appreciation of the contributions of the complex tumor microenvironment, and the tumor-immune ecosystem in particular, to treatment outcome. To date, however, there exists no immune biomarker to explain why two patients with similar clinical stage and molecular profile would have different treatment outcomes. We hypothesize that it is critical to understand both the immune and tumor states to understand how the complex system will respond to treatment. Here, we present how integrated mathematical oncology approaches can help conceptualize the effect of various immunotherapies on a patient's tumor and local immune environment, and how combinations of immunotherapy and cytotoxic therapy may be used to improve tumor response and control and limit toxicity on a per patient basis. Competing Interests: Competing interests: None declared. (© 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.) |
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معلومات مُعتمدة: | U01 CA244100 United States CA NCI NIH HHS; R21 CA263911 United States CA NCI NIH HHS |
فهرسة مساهمة: | Keywords: computational biology; immunotherapy |
المشرفين على المادة: | 0 (Immunologic Factors) |
تواريخ الأحداث: | Date Created: 20220706 Date Completed: 20220708 Latest Revision: 20221222 |
رمز التحديث: | 20231215 |
مُعرف محوري في PubMed: | PMC9260835 |
DOI: | 10.1136/jitc-2022-005107 |
PMID: | 35793871 |
قاعدة البيانات: | MEDLINE |
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