TY - JOUR
T1 - Salvage radiotherapy for prostate cancer
T2 - Finding a way forward using radiobiological modeling
AU - Ohri, Nitin
AU - Shen, Xinglei
AU - Den, Robert B.
AU - Dicker, Adam P.
AU - Trabulsi, Edouard J.
AU - Showalter, Timothy N.
PY - 2012/12
Y1 - 2012/12
N2 - Purpose: Recent modeling efforts, based on reported outcomes following salvage radiotherapy (SRT) for prostate cancer, predict the likelihood of biochemical control (tumor control probability, TCP) as a function of pre-treatment prostate specific antigen (PSA ) and SRT dose. Similar instruments predict the risk of grade ≥ 3 late toxicity (normal tissue complication probability, NTCP) as a function of SRT dose. Here we explore how changes in the parameters of those models might affect the optimal SRT dose and clinical outcomes. Results: Improving the safety of SRT increased the optimal SRT dose, while radiosensitization decreased the optimal dose. Both changes were predicted to increase the probability of biochemical control and decrease late toxicity rates. Increasing the cure rate achievable with SRT (e.g., improving patient selection or combining SRT with effective systemic therapy) provided the greatest gains in TCP. Adoption of a hypofractionated SRT schedule was predicted to improve both biochemical control and late toxicity. Methods and Materials: Baseline TCP and NTCP model parameters were established in a previous report. Pre-treatment PSA was set at 0.4 ng/mL. Model parameters were modified to explore four scenarios: (1) improving the safety of SRT, (2) increasing tumor cell radiosensitivity, (3) increasing the cure rate achievable with SRT and (4) adoption of hypofractionated SRT schedules. The "optimal" SRT dose, defined as the dose that maximized the likelihood of achieving biochemical control without causing late toxicity, was identified for each scenario. Conclusions: Modeling exercises demonstrate the significant gains that may be achieved with improved implementation of SRT for prostate cancer. Strategies to realize the effects modeled in this report should be explored in clinical trials.
AB - Purpose: Recent modeling efforts, based on reported outcomes following salvage radiotherapy (SRT) for prostate cancer, predict the likelihood of biochemical control (tumor control probability, TCP) as a function of pre-treatment prostate specific antigen (PSA ) and SRT dose. Similar instruments predict the risk of grade ≥ 3 late toxicity (normal tissue complication probability, NTCP) as a function of SRT dose. Here we explore how changes in the parameters of those models might affect the optimal SRT dose and clinical outcomes. Results: Improving the safety of SRT increased the optimal SRT dose, while radiosensitization decreased the optimal dose. Both changes were predicted to increase the probability of biochemical control and decrease late toxicity rates. Increasing the cure rate achievable with SRT (e.g., improving patient selection or combining SRT with effective systemic therapy) provided the greatest gains in TCP. Adoption of a hypofractionated SRT schedule was predicted to improve both biochemical control and late toxicity. Methods and Materials: Baseline TCP and NTCP model parameters were established in a previous report. Pre-treatment PSA was set at 0.4 ng/mL. Model parameters were modified to explore four scenarios: (1) improving the safety of SRT, (2) increasing tumor cell radiosensitivity, (3) increasing the cure rate achievable with SRT and (4) adoption of hypofractionated SRT schedules. The "optimal" SRT dose, defined as the dose that maximized the likelihood of achieving biochemical control without causing late toxicity, was identified for each scenario. Conclusions: Modeling exercises demonstrate the significant gains that may be achieved with improved implementation of SRT for prostate cancer. Strategies to realize the effects modeled in this report should be explored in clinical trials.
KW - NTCP
KW - Prostate cancer
KW - Salvage radiotherapy
KW - TCP
UR - http://www.scopus.com/inward/record.url?scp=84870712795&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870712795&partnerID=8YFLogxK
U2 - 10.4161/cbt.22006
DO - 10.4161/cbt.22006
M3 - Article
C2 - 22954697
AN - SCOPUS:84870712795
SN - 1538-4047
VL - 13
SP - 1449
EP - 1453
JO - Cancer Biology and Therapy
JF - Cancer Biology and Therapy
IS - 14
ER -