Incorporating biologic measurements (SF(2), CFE) into a tumor control probability model increases their prognostic significance: a study in cervical carcinoma treated with radiation therapy.

2.50
Hdl Handle:
http://hdl.handle.net/10541/83193
Title:
Incorporating biologic measurements (SF(2), CFE) into a tumor control probability model increases their prognostic significance: a study in cervical carcinoma treated with radiation therapy.
Authors:
Buffa, Francesca M; Davidson, Susan E; Hunter, Robin D; Nahum, Alan E; West, Catharine M L
Abstract:
PURPOSE: To assess whether incorporation of measurements of surviving fraction at 2 Gy (SF(2)) and colony-forming efficiency (CFE) into a tumor control probability (tcp) model increases their prognostic significance. METHODS AND MATERIALS: Measurements of SF(2) and CFE were available from a study on carcinoma of the cervix treated with radiation alone. These measurements, as well as tumor volume, dose, and treatment time, were incorporated into a Poisson tcp model (tcp(alpha,rho)). Regression analysis was performed to assess the prognostic power of tcp(alpha,rho) vs. the use of either tcp models with biologic parameters fixed to best-fit estimates (but incorporating individual dose, volume, and treatment time) or the use of SF(2) and CFE measurements alone. RESULTS: In a univariate regression analysis of 44 patients, tcp(alpha,rho) was a better prognostic factor for both local control and survival (p < 0.001 and p = 0.049, respectively) than SF(2) alone (p = 0.009 for local control, p = 0.29 for survival) or CFE alone (p = 0.015 for local control, p = 0.38 for survival). In multivariate analysis, tcp(alpha,rho) emerged as the most important prognostic factor for local control (p < 0.001, relative risk of 2.81). After allowing for tcp(alpha,rho), CFE was still a significant independent prognostic factor for local control, whereas SF(2) was not. The sensitivities of tcp(alpha,rho) and SF(2) as predictive tests for local control were 87% and 65%, respectively. Specificities were 70% and 77%, respectively. CONCLUSIONS: A Poisson tcp model incorporating individual SF(2), CFE, dose, tumor volume, and treatment time was found to be the best independent prognostic factor for local control and survival in cervical carcinoma patients.
Affiliation:
Department of Physics, Institute of Cancer Research and Royal Marsden NHS Trust, London, England, UK. fbuffa@icr.ac.uk
Citation:
Incorporating biologic measurements (SF(2), CFE) into a tumor control probability model increases their prognostic significance: a study in cervical carcinoma treated with radiation therapy. 2001, 50 (5):1113-22 Int. J. Radiat. Oncol. Biol. Phys.
Journal:
International Journal of Radiation Oncology, Biology, Physics
Issue Date:
1-Aug-2001
URI:
http://hdl.handle.net/10541/83193
PubMed ID:
11483320
Type:
Article
Language:
en
ISSN:
0360-3016
Appears in Collections:
All Christie Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorBuffa, Francesca Men
dc.contributor.authorDavidson, Susan Een
dc.contributor.authorHunter, Robin Den
dc.contributor.authorNahum, Alan Een
dc.contributor.authorWest, Catharine M Len
dc.date.accessioned2009-10-01T12:17:16Z-
dc.date.available2009-10-01T12:17:16Z-
dc.date.issued2001-08-01-
dc.identifier.citationIncorporating biologic measurements (SF(2), CFE) into a tumor control probability model increases their prognostic significance: a study in cervical carcinoma treated with radiation therapy. 2001, 50 (5):1113-22 Int. J. Radiat. Oncol. Biol. Phys.en
dc.identifier.issn0360-3016-
dc.identifier.pmid11483320-
dc.identifier.urihttp://hdl.handle.net/10541/83193-
dc.description.abstractPURPOSE: To assess whether incorporation of measurements of surviving fraction at 2 Gy (SF(2)) and colony-forming efficiency (CFE) into a tumor control probability (tcp) model increases their prognostic significance. METHODS AND MATERIALS: Measurements of SF(2) and CFE were available from a study on carcinoma of the cervix treated with radiation alone. These measurements, as well as tumor volume, dose, and treatment time, were incorporated into a Poisson tcp model (tcp(alpha,rho)). Regression analysis was performed to assess the prognostic power of tcp(alpha,rho) vs. the use of either tcp models with biologic parameters fixed to best-fit estimates (but incorporating individual dose, volume, and treatment time) or the use of SF(2) and CFE measurements alone. RESULTS: In a univariate regression analysis of 44 patients, tcp(alpha,rho) was a better prognostic factor for both local control and survival (p < 0.001 and p = 0.049, respectively) than SF(2) alone (p = 0.009 for local control, p = 0.29 for survival) or CFE alone (p = 0.015 for local control, p = 0.38 for survival). In multivariate analysis, tcp(alpha,rho) emerged as the most important prognostic factor for local control (p < 0.001, relative risk of 2.81). After allowing for tcp(alpha,rho), CFE was still a significant independent prognostic factor for local control, whereas SF(2) was not. The sensitivities of tcp(alpha,rho) and SF(2) as predictive tests for local control were 87% and 65%, respectively. Specificities were 70% and 77%, respectively. CONCLUSIONS: A Poisson tcp model incorporating individual SF(2), CFE, dose, tumor volume, and treatment time was found to be the best independent prognostic factor for local control and survival in cervical carcinoma patients.en
dc.language.isoenen
dc.subjectCancer Recurrenceen
dc.subjectCancer Stem Cellsen
dc.subjectTumour Stem Cell Assayen
dc.subjectUterine Cervical Canceren
dc.subject.meshCarcinoma, Squamous Cell-
dc.subject.meshCell Survival-
dc.subject.meshDose-Response Relationship, Radiation-
dc.subject.meshFemale-
dc.subject.meshHumans-
dc.subject.meshLife Tables-
dc.subject.meshLikelihood Functions-
dc.subject.meshModels, Theoretical-
dc.subject.meshMultivariate Analysis-
dc.subject.meshNeoplasm Recurrence, Local-
dc.subject.meshNeoplastic Stem Cells-
dc.subject.meshPoisson Distribution-
dc.subject.meshPrognosis-
dc.subject.meshRegression Analysis-
dc.subject.meshRisk-
dc.subject.meshSurvival Analysis-
dc.subject.meshTumor Stem Cell Assay-
dc.subject.meshUterine Cervical Neoplasms-
dc.titleIncorporating biologic measurements (SF(2), CFE) into a tumor control probability model increases their prognostic significance: a study in cervical carcinoma treated with radiation therapy.en
dc.typeArticleen
dc.contributor.departmentDepartment of Physics, Institute of Cancer Research and Royal Marsden NHS Trust, London, England, UK. fbuffa@icr.ac.uken
dc.identifier.journalInternational Journal of Radiation Oncology, Biology, Physicsen

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