Literature DB >> 8635110

Radiation therapy tolerance limits. For one or for all?--Janeway Lecture.

L J Peters1.   

Abstract

BACKGROUND: The optimal use of radiation therapy for cancer treatment is hampered by the application of tolerance limits of normal tissues derived empirically from population averages. Such limits do not reflect the considerable differences from patient to patient in susceptibility to late radiation sequelae. Assays that accurately predict normal tissue tolerance in individual patients would permit real application of the concept of treatment to tolerance thereby increasing the probability of an uncomplicated cure for the population as a whole.
METHODS: A summary of laboratory research is presented to test the hypothesis that the cellular radiosensitivity of normal skin fibroblasts can predict the severity of late connective tissue damage that develops following radiotherapy. The pathogenesis of radiation reactions and the possible role of radiation induced cellular senescence in the development of clinical late effects are briefly reviewed.
RESULTS: Although the pathogenesis of radiation injury is highly complex, several clinical studies have demonstrated a significant correlation between fibroblast radiosensitivity and the severity of late sequelae from treatment. However, the precision and reproducibility of fibroblast cell survival assays are inadequate for routine clinical use. Newer assays incorporating insights into the effects of radiation on cellular senescence and cytokine production are being developed. Such assays may, in the future, be complemented or replaced by molecular and/or cytogenetic probes to derive robust estimates of individual tolerance.
CONCLUSIONS: The principle of prediction of tolerance to radiotherapy has been established. Although current assays lack the precision required for clinical use, the goal of individualized treatment to tolerance ultimately should be achieved.

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Year:  1996        PMID: 8635110     DOI: 10.1002/(SICI)1097-0142(19960601)77:11<2379::AID-CNCR29>3.0.CO;2-T

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  5 in total

1.  The szilard hypothesis on the nature of aging revisited.

Authors:  Henrik Zetterberg; Magnus Båth; Madeleine Zetterberg; Peter Bernhardt; Ola Hammarsten
Journal:  Genetics       Date:  2009-05       Impact factor: 4.562

2.  Chromosomal in-vitro radiosensitivity of lymphocytes in radiotherapy patients and AT-homozygotes.

Authors:  J Dunst; S Neubauer; A Becker; E Gebhart
Journal:  Strahlenther Onkol       Date:  1998-10       Impact factor: 3.621

3.  A biologically based model of growth and senescence of Syrian hamster embryo (SHE) cells after exposure to arsenic.

Authors:  K H Liao; D L Gustafson; M H Fox; L S Chubb; K F Reardon; R S Yang
Journal:  Environ Health Perspect       Date:  2001-12       Impact factor: 9.031

4.  Among 45 variants in 11 genes, HDM2 promoter polymorphisms emerge as new candidate biomarker associated with radiation toxicity.

Authors:  Ghazi Alsbeih; Medhat El-Sebaie; Nasser Al-Rajhi; Najla Al-Harbi; Khaled Al-Hadyan; Sara Al-Qahtani; Mohammad Alsubael; Mohammad Al-Shabanah; Belal Moftah
Journal:  3 Biotech       Date:  2013-04-26       Impact factor: 2.406

5.  GSTP1 polymorphism predicts treatment outcome and toxicities for breast cancer.

Authors:  Jie Ma; Shao-Liang Zhu; Yang Liu; Xiang-Yang Huang; Dan-Ke Su
Journal:  Oncotarget       Date:  2017-06-16
  5 in total

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