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PMID: 3516949 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Review

Potential methods for predicting tumor radiocurability.

International journal of radiation oncology, biology, physics ·Vol. 12 ·No. 4 ·1986-04-00 ·Pages 459-67

Peters LJ, Brock WA, Johnson T, Meyn RE, Tofilon PJ, Milas L

Abstract

Several predictors of tumor radiocurability are already integrated into clinical practice, for example, tumor size, gross morphology (that is, infiltrative or exophytic), histologic type and grade. These are nonspecific and relatively imprecise. The aim of research into predictive assays is not only to refine the discrimination of existing predictors, but also to suggest specific experimental approaches for overcoming tumor radioresistance in individual patients. Two broad categories of predictive assays can be defined: direct and indirect measurement of tumor cell survival and/or repair capability following irradiation, and measurement of cellular and extracellular parameters affecting radiosensitivity. The ongoing research at The University of Texas M. D. Anderson Hospital is overviewed to illustrate potential methods for predicting radiocurability.

MeSH Terms
Animals Carcinoma, Squamous Cell/radiotherapy Cell Survival/radiation effects Chromosome Aberrations Cricetinae DNA, Neoplasm/analysis Female Head and Neck Neoplasms/radiotherapy Humans Methods Mice Neoplasms/radiotherapy Neoplasms, Experimental/radiotherapy Oxygen Prognosis Sister Chromatid Exchange Uterine Neoplasms/radiotherapy
Chemicals
DNA, Neoplasm Oxygen
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Peters L J
Brock W A
Johnson T
Meyn R E
Tofilon P J
Milas L
Article Info
Journal
International journal of radiation oncology, biology, physics
Abbr.
Int J Radiat Oncol Biol Phys
ISSN
0360-3016
Published
1986-04-00
Pages
459-67
Language
English
Region
United States
NLM ID
7603616
Subset
IM
Grants
NCI NIH HHS · CA-06294 · United States
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