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Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes

BACKGROUND: Adjuvant Radiotherapy (RT) after surgical removal of tumors proved beneficial in long-term tumor control and treatment planning. For many years, it has been well concluded that radio-sensitivities of tumors upon radiotherapy decrease according to the sizes of tumors and RT models based o...

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Detalles Bibliográficos
Autores principales: Yang, Jack Y, Niemierko, Andrzej, Yang, Mary Qu, Deng, Youping
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559899/
https://www.ncbi.nlm.nih.gov/pubmed/18831800
http://dx.doi.org/10.1186/1471-2164-9-S2-S9
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author Yang, Jack Y
Niemierko, Andrzej
Yang, Mary Qu
Deng, Youping
author_facet Yang, Jack Y
Niemierko, Andrzej
Yang, Mary Qu
Deng, Youping
author_sort Yang, Jack Y
collection PubMed
description BACKGROUND: Adjuvant Radiotherapy (RT) after surgical removal of tumors proved beneficial in long-term tumor control and treatment planning. For many years, it has been well concluded that radio-sensitivities of tumors upon radiotherapy decrease according to the sizes of tumors and RT models based on Poisson statistics have been used extensively to validate clinical data. RESULTS: We found that Poisson statistics on RT is actually derived from bacterial cells despite of many validations from clinical data. However cancerous cells do have abnormal cellular communications and use chemical messengers to signal both surrounding normal and cancerous cells to develop new blood vessels and to invade, to metastasis and to overcome intercellular spatial confinements in general. We therefore investigated the cell killing effects on adjuvant RT and found that radio-sensitivity is actually not a monotonic function of volume as it was believed before. We present detailed analysis and explanation to justify above statement. Based on EUD, we present an equivalent radio-sensitivity model. CONCLUSION: We conclude that radio sensitivity is a sophisticated function over tumor volumes, since tumor responses upon radio therapy also depend on cellular communications.
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spelling pubmed-25598992008-10-04 Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes Yang, Jack Y Niemierko, Andrzej Yang, Mary Qu Deng, Youping BMC Genomics Research BACKGROUND: Adjuvant Radiotherapy (RT) after surgical removal of tumors proved beneficial in long-term tumor control and treatment planning. For many years, it has been well concluded that radio-sensitivities of tumors upon radiotherapy decrease according to the sizes of tumors and RT models based on Poisson statistics have been used extensively to validate clinical data. RESULTS: We found that Poisson statistics on RT is actually derived from bacterial cells despite of many validations from clinical data. However cancerous cells do have abnormal cellular communications and use chemical messengers to signal both surrounding normal and cancerous cells to develop new blood vessels and to invade, to metastasis and to overcome intercellular spatial confinements in general. We therefore investigated the cell killing effects on adjuvant RT and found that radio-sensitivity is actually not a monotonic function of volume as it was believed before. We present detailed analysis and explanation to justify above statement. Based on EUD, we present an equivalent radio-sensitivity model. CONCLUSION: We conclude that radio sensitivity is a sophisticated function over tumor volumes, since tumor responses upon radio therapy also depend on cellular communications. BioMed Central 2008-09-16 /pmc/articles/PMC2559899/ /pubmed/18831800 http://dx.doi.org/10.1186/1471-2164-9-S2-S9 Text en Copyright © 2008 Yang 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.
spellingShingle Research
Yang, Jack Y
Niemierko, Andrzej
Yang, Mary Qu
Deng, Youping
Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title_full Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title_fullStr Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title_full_unstemmed Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title_short Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
title_sort analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559899/
https://www.ncbi.nlm.nih.gov/pubmed/18831800
http://dx.doi.org/10.1186/1471-2164-9-S2-S9
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