Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench
A stem cell theory of cancer considers genetic makeup in the proper cellular context. It is a unified theory of cancer that unites the genome with the epigenome, links the intracellular with the extracellular, and connects the cellular constituents and compartments with the microenvironment. Althoug...
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Format: | Article |
Language: | English |
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MDPI AG
2022-07-01
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Series: | Cancers |
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Online Access: | https://www.mdpi.com/2072-6694/14/14/3345 |
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author | Shi-Ming Tu Sunny R. Singh Konstantinos Arnaoutakis Sindhu Malapati Sajjad A. Bhatti Aron Y. Joon Omar T. Atiq Louis L. Pisters |
author_facet | Shi-Ming Tu Sunny R. Singh Konstantinos Arnaoutakis Sindhu Malapati Sajjad A. Bhatti Aron Y. Joon Omar T. Atiq Louis L. Pisters |
author_sort | Shi-Ming Tu |
collection | DOAJ |
description | A stem cell theory of cancer considers genetic makeup in the proper cellular context. It is a unified theory of cancer that unites the genome with the epigenome, links the intracellular with the extracellular, and connects the cellular constituents and compartments with the microenvironment. Although it allies with genomic medicine, it is better aligned with integrated medicine. In this perspective, we focus on translational research in cancer care. We expose some intrinsic fallacies in translational research when it relates to the basic principles of the scientific method in the care of patients with genomic medicine versus integrated medicine. We postulate that genomic medicine may be at the root of many failed efforts in drug development and data reproducibility. We propose an alternate heuristic approach that may expedite the development of safe and effective treatments and minimize the generation of unproductive pharmaceutical products and nonreproducible experimental results. Importantly, a heuristic approach emphasizes the role of a pertinent scientific theory and distinguishes therapy development from drug development, such that we discover not only useful drugs but also better ways to use them in order to optimize patient care and maximize clinical outcomes. |
first_indexed | 2024-03-09T12:07:50Z |
format | Article |
id | doaj.art-9601d2331ecc433f80aa485fa21e95d7 |
institution | Directory Open Access Journal |
issn | 2072-6694 |
language | English |
last_indexed | 2024-03-09T12:07:50Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Cancers |
spelling | doaj.art-9601d2331ecc433f80aa485fa21e95d72023-11-30T22:55:55ZengMDPI AGCancers2072-66942022-07-011414334510.3390/cancers14143345Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to BenchShi-Ming Tu0Sunny R. Singh1Konstantinos Arnaoutakis2Sindhu Malapati3Sajjad A. Bhatti4Aron Y. Joon5Omar T. Atiq6Louis L. Pisters7Division of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADivision of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADivision of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADivision of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADivision of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USADivision of Hematology/Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USAA stem cell theory of cancer considers genetic makeup in the proper cellular context. It is a unified theory of cancer that unites the genome with the epigenome, links the intracellular with the extracellular, and connects the cellular constituents and compartments with the microenvironment. Although it allies with genomic medicine, it is better aligned with integrated medicine. In this perspective, we focus on translational research in cancer care. We expose some intrinsic fallacies in translational research when it relates to the basic principles of the scientific method in the care of patients with genomic medicine versus integrated medicine. We postulate that genomic medicine may be at the root of many failed efforts in drug development and data reproducibility. We propose an alternate heuristic approach that may expedite the development of safe and effective treatments and minimize the generation of unproductive pharmaceutical products and nonreproducible experimental results. Importantly, a heuristic approach emphasizes the role of a pertinent scientific theory and distinguishes therapy development from drug development, such that we discover not only useful drugs but also better ways to use them in order to optimize patient care and maximize clinical outcomes.https://www.mdpi.com/2072-6694/14/14/3345translational researchheuristic researchscientific methoddrug developmenttherapy developmentdata reproducibility |
spellingShingle | Shi-Ming Tu Sunny R. Singh Konstantinos Arnaoutakis Sindhu Malapati Sajjad A. Bhatti Aron Y. Joon Omar T. Atiq Louis L. Pisters Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench Cancers translational research heuristic research scientific method drug development therapy development data reproducibility |
title | Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench |
title_full | Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench |
title_fullStr | Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench |
title_full_unstemmed | Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench |
title_short | Stem Cell Theory of Cancer: Implications for Translational Research from Bedside to Bench |
title_sort | stem cell theory of cancer implications for translational research from bedside to bench |
topic | translational research heuristic research scientific method drug development therapy development data reproducibility |
url | https://www.mdpi.com/2072-6694/14/14/3345 |
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