دورية أكاديمية
A war on many fronts: cross disciplinary approaches for novel cancer treatment strategies.
| العنوان: | A war on many fronts: cross disciplinary approaches for novel cancer treatment strategies. |
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| المؤلفون: | Del Pino Herrera A; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States., Ferrall-Fairbanks MC; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.; University of Florida Health Cancer Center, University of Florida, Gainesville, FL, United States. |
| المصدر: | Frontiers in genetics [Front Genet] 2024 May 30; Vol. 15, pp. 1383676. Date of Electronic Publication: 2024 May 30 (Print Publication: 2024). |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Lausanne : Frontiers Research Foundation. |
| مستخلص: | Cancer is a disease characterized by uncontrolled cellular growth where cancer cells take advantage of surrounding cellular populations to obtain resources and promote invasion. Carcinomas are the most common type of cancer accounting for almost 90% of cancer cases. One of the major subtypes of carcinomas are adenocarcinomas, which originate from glandular cells that line certain internal organs. Cancers such as breast, prostate, lung, pancreas, colon, esophageal, kidney are often adenocarcinomas. Current treatment strategies include surgery, chemotherapy, radiation, targeted therapy, and more recently immunotherapy. However, patients with adenocarcinomas often develop resistance or recur after the first line of treatment. Understanding how networks of tumor cells interact with each other and the tumor microenvironment is crucial to avoid recurrence, resistance, and high-dose therapy toxicities. In this review, we explore how mathematical modeling tools from different disciplines can aid in the development of effective and personalized cancer treatment strategies. Here, we describe how concepts from the disciplines of ecology and evolution, economics, and control engineering have been applied to mathematically model cancer dynamics and enhance treatment strategies. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Del Pino Herrera and Ferrall-Fairbanks.) |
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| فهرسة مساهمة: | Keywords: cancer; control theory; ecology; economics; engineering; evolution; mathematical modeling |
| تواريخ الأحداث: | Date Created: 20240614 Latest Revision: 20240615 |
| رمز التحديث: | 20240615 |
| مُعرف محوري في PubMed: | PMC11169904 |
| DOI: | 10.3389/fgene.2024.1383676 |
| PMID: | 38873108 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1664-8021 |
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| DOI: | 10.3389/fgene.2024.1383676 |