TY - JOUR
T1 - Genomic classifier augments the role of pathological features in identifying optimal candidates for adjuvant radiation therapy in patients with prostate cancer
T2 - Development and internal validation of a multivariable prognostic model
AU - Dalela, Deepansh
AU - Santiago-Jiménez, María
AU - Yousefi, Kasra
AU - Karnes, R. Jeffrey
AU - Ross, Ashley E.
AU - Den, Robert B.
AU - Freedland, Stephen J.
AU - Schaeffer, Edward M.
AU - Dicker, Adam P.
AU - Menon, Mani
AU - Briganti, Alberto
AU - Davicioni, Elai
AU - Abdollah, Firas
N1 - Funding Information:
A.E.R. is supported by a Prostate Cancer Foundation Young Investigator Award and a Department of Defense Physician Research Training Award.
Publisher Copyright:
© 2017 by American Society of Clinical Oncology.
PY - 2017/6/20
Y1 - 2017/6/20
N2 - Purpose: Despite documented oncologic benefit, use of postoperative adjuvant radiotherapy (aRT) in patients with prostate cancer is still limited in the United States. We aimed to develop and internally validate a risk-stratification tool incorporating the Decipher score, along with routinely available clinicopathologic features, to identify patients who would benefit the most from aRT. Patient and Methods: Our cohort included 512 patients with prostate cancer treated with radical prostatectomy at one of four US academic centers between 1990 and 2010. All patients had ≥ pT3a disease, positive surgical margins, and/or pathologic lymph node invasion. Multivariable Cox regression analysis tested the relationship between available predictors (including Decipher score) and clinical recurrence (CR), which were then used to develop a novel risk-stratification tool. Our study adhered to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for development of prognostic models. Results: Overall, 21.9% of patients received aRT. Median follow-up in censored patients was 8.3 years. The 10-year CR rate was 4.9% vs. 17.4% in patients treated with aRT versus initial observation (P, .001). Pathologic T3b/T4 stage, Gleason score 8-10, lymph node invasion, and Decipher score . 0.6 were independent predictors of CR (all P, .01). The cumulative number of risk factors was 0, 1, 2, and 3 to 4 in 46.5%, 28.9%, 17.2%, and 7.4% of patients, respectively. aRT was associated with decreased CR rate in patients with two or more risk factors (10-year CR rate 10.1% in aRT v 42.1% in initial observation; P = .012), but not in those with fewer than two risk factors (P = .18). Conclusion: Using the new model to indicate aRT might reduce overtreatment, decrease unnecessary adverse effects, and reduce risk of CR in the subset of patients (approximately 25% of all patients with aggressive pathologic disease in our cohort) who benefit from this therapy.
AB - Purpose: Despite documented oncologic benefit, use of postoperative adjuvant radiotherapy (aRT) in patients with prostate cancer is still limited in the United States. We aimed to develop and internally validate a risk-stratification tool incorporating the Decipher score, along with routinely available clinicopathologic features, to identify patients who would benefit the most from aRT. Patient and Methods: Our cohort included 512 patients with prostate cancer treated with radical prostatectomy at one of four US academic centers between 1990 and 2010. All patients had ≥ pT3a disease, positive surgical margins, and/or pathologic lymph node invasion. Multivariable Cox regression analysis tested the relationship between available predictors (including Decipher score) and clinical recurrence (CR), which were then used to develop a novel risk-stratification tool. Our study adhered to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for development of prognostic models. Results: Overall, 21.9% of patients received aRT. Median follow-up in censored patients was 8.3 years. The 10-year CR rate was 4.9% vs. 17.4% in patients treated with aRT versus initial observation (P, .001). Pathologic T3b/T4 stage, Gleason score 8-10, lymph node invasion, and Decipher score . 0.6 were independent predictors of CR (all P, .01). The cumulative number of risk factors was 0, 1, 2, and 3 to 4 in 46.5%, 28.9%, 17.2%, and 7.4% of patients, respectively. aRT was associated with decreased CR rate in patients with two or more risk factors (10-year CR rate 10.1% in aRT v 42.1% in initial observation; P = .012), but not in those with fewer than two risk factors (P = .18). Conclusion: Using the new model to indicate aRT might reduce overtreatment, decrease unnecessary adverse effects, and reduce risk of CR in the subset of patients (approximately 25% of all patients with aggressive pathologic disease in our cohort) who benefit from this therapy.
UR - http://www.scopus.com/inward/record.url?scp=85021696495&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021696495&partnerID=8YFLogxK
U2 - 10.1200/JCO.2016.69.9918
DO - 10.1200/JCO.2016.69.9918
M3 - Article
C2 - 28350520
AN - SCOPUS:85021696495
SN - 0732-183X
VL - 35
SP - 1982
EP - 1990
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 18
ER -