TY - JOUR
T1 - The Clinical Utility of a 7-Gene Biosignature on Radiation Therapy Decision Making in Patients with Ductal Carcinoma In Situ Following Breast-Conserving Surgery
T2 - An Updated Analysis of the DCISionRT® PREDICT Study
AU - Shah, Chirag
AU - Whitworth, Pat
AU - Vicini, Frank A.
AU - Narod, Steven
AU - Gerber, Naamit
AU - Jhawar, Sachin R.
AU - King, Tari A.
AU - Mittendorf, Elizabeth A.
AU - Willey, Shawna C.
AU - Rabinovich, Rachel
AU - Gold, Linsey
AU - Brown, Eric
AU - Patel, Anushka
AU - Vargo, John
AU - Barry, Parul N.
AU - Rock, David
AU - Friedman, Neil
AU - Bedi, Gauri
AU - Templeton, Sandra
AU - Brown, Sheree
AU - Gabordi, Robert
AU - Riley, Lee
AU - Lee, Lucy
AU - Baron, Paul
AU - Majithia, Lonika
AU - Mirabeau-Beale, Kristina L.
AU - Reid, Vincent J.
AU - Hirsch, Arica
AU - Hwang, Catherine
AU - Pellicane, James
AU - Maganini, Robert
AU - Khan, Sadia
AU - MacDermed, Dhara M.
AU - Small, William
AU - Mittal, Karuna
AU - Borgen, Patrick
AU - Cox, Charles
AU - Shivers, Steven C.
AU - Bremer, Troy
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/9
Y1 - 2024/9
N2 - Background: Breast-conserving surgery (BCS) followed by adjuvant radiotherapy (RT) is a standard treatment for ductal carcinoma in situ (DCIS). A low-risk patient subset that does not benefit from RT has not yet been clearly identified. The DCISionRT test provides a clinically validated decision score (DS), which is prognostic of 10-year in-breast recurrence rates (invasive and non-invasive) and is also predictive of RT benefit. This analysis presents final outcomes from the PREDICT prospective registry trial aiming to determine how often the DCISionRT test changes radiation treatment recommendations. Methods: Overall, 2496 patients were enrolled from February 2018 to January 2022 at 63 academic and community practice sites and received DCISionRT as part of their care plan. Treating physicians reported their treatment recommendations pre- and post-test as well as the patient’s preference. The primary endpoint was to identify the percentage of patients where testing led to a change in RT recommendation. The impact of the test on RT treatment recommendation was physician specialty, treatment settings, individual clinical/pathological features and RTOG 9804 like criteria. Multivariate logisitc regression analysis was used to estimate the odds ratio (ORs) for factors associated with the post-test RT recommendations. Results: RT recommendation changed 38% of women, resulting in a 20% decrease in the overall recommendation of RT (p < 0.001). Of those women initially recommended no RT (n = 583), 31% were recommended RT post-test. The recommendation for RT post-test increased with increasing DS, from 29% to 66% to 91% for DS <2, DS 2–4, and DS >4, respectively. On multivariable analysis, DS had the strongest influence on final RT recommendation (odds ratio 22.2, 95% confidence interval 16.3–30.7), which was eightfold greater than clinicopathologic features. Furthermore, there was an overall change in the recommendation to receive RT in 42% of those patients meeting RTOG 9804-like low-risk criteria. Conclusions: The test results provided information that changes treatment recommendations both for and against RT use in large population of women with DCIS treated in a variety of clinical settings. Overall, clinicians changed their recommendations to include or omit RT for 38% of women based on the test results. Based on published clinical validations and the results from current study, DCISionRT may aid in preventing the over- and undertreatment of clinicopathological ‘low-risk’ and ‘high-risk’ DCIS patients. Trial Registration: ClinicalTrials.gov identifier: NCT03448926 (https://clinicaltrials.gov/study/NCT03448926).
AB - Background: Breast-conserving surgery (BCS) followed by adjuvant radiotherapy (RT) is a standard treatment for ductal carcinoma in situ (DCIS). A low-risk patient subset that does not benefit from RT has not yet been clearly identified. The DCISionRT test provides a clinically validated decision score (DS), which is prognostic of 10-year in-breast recurrence rates (invasive and non-invasive) and is also predictive of RT benefit. This analysis presents final outcomes from the PREDICT prospective registry trial aiming to determine how often the DCISionRT test changes radiation treatment recommendations. Methods: Overall, 2496 patients were enrolled from February 2018 to January 2022 at 63 academic and community practice sites and received DCISionRT as part of their care plan. Treating physicians reported their treatment recommendations pre- and post-test as well as the patient’s preference. The primary endpoint was to identify the percentage of patients where testing led to a change in RT recommendation. The impact of the test on RT treatment recommendation was physician specialty, treatment settings, individual clinical/pathological features and RTOG 9804 like criteria. Multivariate logisitc regression analysis was used to estimate the odds ratio (ORs) for factors associated with the post-test RT recommendations. Results: RT recommendation changed 38% of women, resulting in a 20% decrease in the overall recommendation of RT (p < 0.001). Of those women initially recommended no RT (n = 583), 31% were recommended RT post-test. The recommendation for RT post-test increased with increasing DS, from 29% to 66% to 91% for DS <2, DS 2–4, and DS >4, respectively. On multivariable analysis, DS had the strongest influence on final RT recommendation (odds ratio 22.2, 95% confidence interval 16.3–30.7), which was eightfold greater than clinicopathologic features. Furthermore, there was an overall change in the recommendation to receive RT in 42% of those patients meeting RTOG 9804-like low-risk criteria. Conclusions: The test results provided information that changes treatment recommendations both for and against RT use in large population of women with DCIS treated in a variety of clinical settings. Overall, clinicians changed their recommendations to include or omit RT for 38% of women based on the test results. Based on published clinical validations and the results from current study, DCISionRT may aid in preventing the over- and undertreatment of clinicopathological ‘low-risk’ and ‘high-risk’ DCIS patients. Trial Registration: ClinicalTrials.gov identifier: NCT03448926 (https://clinicaltrials.gov/study/NCT03448926).
KW - Decision-making tools
KW - Ductal carcinoma in situ
KW - Radiation therapy
UR - http://www.scopus.com/inward/record.url?scp=85196917866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85196917866&partnerID=8YFLogxK
U2 - 10.1245/s10434-024-15566-5
DO - 10.1245/s10434-024-15566-5
M3 - Article
C2 - 39008205
AN - SCOPUS:85196917866
SN - 1068-9265
VL - 31
SP - 5919
EP - 5928
JO - Annals of Surgical Oncology
JF - Annals of Surgical Oncology
IS - 9
ER -