Cargando…
A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design
BACKGROUND: When anti-tumour therapy is administered to a tumour-host environment, an asymptotic tapering extremity of the tumour cell distribution is noticed. This extremity harbors a small number of residual tumour cells that later lead to secondary malignances. Thus, a method is needed that would...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3896771/ https://www.ncbi.nlm.nih.gov/pubmed/24369857 http://dx.doi.org/10.1186/1742-4682-10-68 |
_version_ | 1782300130776449024 |
---|---|
author | Kapoor, Suhela Rallabandi, VP Subramanyam Sakode, Chandrashekhar Padhi, Radhakant Roy, Prasun K |
author_facet | Kapoor, Suhela Rallabandi, VP Subramanyam Sakode, Chandrashekhar Padhi, Radhakant Roy, Prasun K |
author_sort | Kapoor, Suhela |
collection | PubMed |
description | BACKGROUND: When anti-tumour therapy is administered to a tumour-host environment, an asymptotic tapering extremity of the tumour cell distribution is noticed. This extremity harbors a small number of residual tumour cells that later lead to secondary malignances. Thus, a method is needed that would enable the malignant population to be completely eliminated within a desired time-frame, negating the possibility of recurrence and drug-induced toxicity. METHODS: In this study, we delineate a computational procedure using the inverse input-reconstruction approach to calculate the unknown drug stimulus input, when one desires a known output tissue-response (full tumour cell elimination, no excess toxicity). The asymptotic extremity is taken care of using a bias shift of tumour-cell distribution and guided control of drug administration, with toxicity limits enforced, during mutually-synchronized chemotherapy (as Temozolomide) and immunotherapy (Interleukin-2 and Cytotoxic T-lymphocyte). RESULTS: Quantitative modeling is done using representative characteristics of rapidly and slowly-growing tumours. Both were fully eliminated within 2 months with checks for recurrence and toxicity over a two-year time-line. The dose-time profile of the therapeutic agents has similar features across tumours: biphasic (lymphocytes), monophasic (chemotherapy) and stationary (interleukin), with terminal pulses of the three agents together ensuring elimination of all malignant cells. The model is then justified with clinical case studies and animal models of different neurooncological tumours like glioma, meningioma and glioblastoma. CONCLUSION: The conflicting oncological objectives of tumour-cell extinction and host protection can be simultaneously accommodated using the techniques of drug input reconstruction by enforcing a bias shift and guided control over the drug dose-time profile. For translational applicability, the procedure can be adapted to accommodate varying patient parameters, and for corrective clinical monitoring, to implement full tumour extinction, while maintaining the health profile of the patient. |
format | Online Article Text |
id | pubmed-3896771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38967712014-01-31 A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design Kapoor, Suhela Rallabandi, VP Subramanyam Sakode, Chandrashekhar Padhi, Radhakant Roy, Prasun K Theor Biol Med Model Research BACKGROUND: When anti-tumour therapy is administered to a tumour-host environment, an asymptotic tapering extremity of the tumour cell distribution is noticed. This extremity harbors a small number of residual tumour cells that later lead to secondary malignances. Thus, a method is needed that would enable the malignant population to be completely eliminated within a desired time-frame, negating the possibility of recurrence and drug-induced toxicity. METHODS: In this study, we delineate a computational procedure using the inverse input-reconstruction approach to calculate the unknown drug stimulus input, when one desires a known output tissue-response (full tumour cell elimination, no excess toxicity). The asymptotic extremity is taken care of using a bias shift of tumour-cell distribution and guided control of drug administration, with toxicity limits enforced, during mutually-synchronized chemotherapy (as Temozolomide) and immunotherapy (Interleukin-2 and Cytotoxic T-lymphocyte). RESULTS: Quantitative modeling is done using representative characteristics of rapidly and slowly-growing tumours. Both were fully eliminated within 2 months with checks for recurrence and toxicity over a two-year time-line. The dose-time profile of the therapeutic agents has similar features across tumours: biphasic (lymphocytes), monophasic (chemotherapy) and stationary (interleukin), with terminal pulses of the three agents together ensuring elimination of all malignant cells. The model is then justified with clinical case studies and animal models of different neurooncological tumours like glioma, meningioma and glioblastoma. CONCLUSION: The conflicting oncological objectives of tumour-cell extinction and host protection can be simultaneously accommodated using the techniques of drug input reconstruction by enforcing a bias shift and guided control over the drug dose-time profile. For translational applicability, the procedure can be adapted to accommodate varying patient parameters, and for corrective clinical monitoring, to implement full tumour extinction, while maintaining the health profile of the patient. BioMed Central 2013-12-26 /pmc/articles/PMC3896771/ /pubmed/24369857 http://dx.doi.org/10.1186/1742-4682-10-68 Text en Copyright © 2013 Kapoor et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kapoor, Suhela Rallabandi, VP Subramanyam Sakode, Chandrashekhar Padhi, Radhakant Roy, Prasun K A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title | A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title_full | A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title_fullStr | A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title_full_unstemmed | A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title_short | A patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
title_sort | patient-specific therapeutic approach for tumour cell population extinction and drug toxicity reduction using control systems-based dose-profile design |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3896771/ https://www.ncbi.nlm.nih.gov/pubmed/24369857 http://dx.doi.org/10.1186/1742-4682-10-68 |
work_keys_str_mv | AT kapoorsuhela apatientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT rallabandivpsubramanyam apatientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT sakodechandrashekhar apatientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT padhiradhakant apatientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT royprasunk apatientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT kapoorsuhela patientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT rallabandivpsubramanyam patientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT sakodechandrashekhar patientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT padhiradhakant patientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign AT royprasunk patientspecifictherapeuticapproachfortumourcellpopulationextinctionanddrugtoxicityreductionusingcontrolsystemsbaseddoseprofiledesign |