Piernicola Pedicini1, Lidia Strigari, Marcello Benassi. 1. Service of Medical Physics, Istituto di Ricovero e Cura a Carattere Scientifico Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy. ppiern@libero.it
Abstract
PURPOSE: To determine a self-consistent set of radiobiological parameters in prostate cancer. METHODS AND MATERIALS: A method to estimate intrinsic radiosensitivity (α), fractionation sensitivity (α/β), repopulation doubling time, number of clonogens, and kick-off time for accelerated repopulation of prostate cancer has been developed. Based on the generalized linear-quadratic model and without assuming the isoeffective hypothesis, the potential applications of the method were investigated using the clinical outcome of biochemical relapse-free survival recently reviewed in the literature. The strengths and limitations of the method, regarding the fitted parameters and 95% confidence intervals (CIs), are also discussed. RESULTS: Our best estimate of α/β is 2.96 Gy (95% CI 2.41-3.53 Gy). The corresponding α value is 0.16 Gy(-1) (95% CI 0.14-0.18 Gy(-1)), which is compatible with a realistic number of clonogens: 6.5 × 10(6) (95% CI 1.5 × 10(6)-2.1 × 10(7)). The estimated cell doubling time is 5.1 days (95% CI 4.2-7.2 days), very low if compared with that reported in the literature. This corresponds to the dose required to offset the repopulation occurring in 1 day of 0.52 Gy/d (95% CI 0.32-0.68 Gy/d). However, a long kick-off time of 31 days (95% CI 22-41 days) from the start of radiation therapy was found. CONCLUSION: The proposed analytic/graphic method has allowed the fitting of clinical data, providing a self-consistent set of radiobiological parameters for prostate cancer. With our analysis we confirm a low value for α/β with a correspondingly high value of intrinsic radiosensitivity, a realistic average number of clonogens, a long kick-off time for accelerated repopulation, and a surprisingly fast repopulation that suggests the involvement of subpopulations of specifically tumorigenic stem cells during continuing radiation therapy.
PURPOSE: To determine a self-consistent set of radiobiological parameters in prostate cancer. METHODS AND MATERIALS: A method to estimate intrinsic radiosensitivity (α), fractionation sensitivity (α/β), repopulation doubling time, number of clonogens, and kick-off time for accelerated repopulation of prostate cancer has been developed. Based on the generalized linear-quadratic model and without assuming the isoeffective hypothesis, the potential applications of the method were investigated using the clinical outcome of biochemical relapse-free survival recently reviewed in the literature. The strengths and limitations of the method, regarding the fitted parameters and 95% confidence intervals (CIs), are also discussed. RESULTS: Our best estimate of α/β is 2.96 Gy (95% CI 2.41-3.53 Gy). The corresponding α value is 0.16 Gy(-1) (95% CI 0.14-0.18 Gy(-1)), which is compatible with a realistic number of clonogens: 6.5 × 10(6) (95% CI 1.5 × 10(6)-2.1 × 10(7)). The estimated cell doubling time is 5.1 days (95% CI 4.2-7.2 days), very low if compared with that reported in the literature. This corresponds to the dose required to offset the repopulation occurring in 1 day of 0.52 Gy/d (95% CI 0.32-0.68 Gy/d). However, a long kick-off time of 31 days (95% CI 22-41 days) from the start of radiation therapy was found. CONCLUSION: The proposed analytic/graphic method has allowed the fitting of clinical data, providing a self-consistent set of radiobiological parameters for prostate cancer. With our analysis we confirm a low value for α/β with a correspondingly high value of intrinsic radiosensitivity, a realistic average number of clonogens, a long kick-off time for accelerated repopulation, and a surprisingly fast repopulation that suggests the involvement of subpopulations of specifically tumorigenic stem cells during continuing radiation therapy.
Authors: Piernicola Pedicini; Alba Fiorentino; Vittorio Simeon; Paolo Tini; Costanza Chiumento; Luigi Pirtoli; Marco Salvatore; Giovanni Storto Journal: Strahlenther Onkol Date: 2014-04-04 Impact factor: 3.621
Authors: Mark W Konijnenberg; Wout A P Breeman; Erik de Blois; Ho Sze Chan; Otto C Boerman; Peter Laverman; Petra Kolenc-Peitl; Marleen Melis; Marion de Jong Journal: EJNMMI Res Date: 2014-08-30 Impact factor: 3.138
Authors: M Mangoni; I Desideri; B Detti; P Bonomo; D Greto; F Paiar; G Simontacchi; I Meattini; S Scoccianti; T Masoni; C Ciabatti; A Turkaj; S Serni; A Minervini; M Gacci; M Carini; L Livi Journal: Biomed Res Int Date: 2014-04-30 Impact factor: 3.411