Abstract Background: For women with ductal carcinoma in situ (DCIS) treated with breast conserving surgery (BCS), the benefit of adjuvant radiation therapy (RT) remains controversial. Since there is level 1 evidence supporting the role of RT in reducing the risk of local recurrence, current guidelines generally recommend RT for all women having BCS even though the absolute benefit is variable. In response to the need for prognostic and predictive tools to better assess risk and RT benefit, a 7-gene predictive biosignature (DCISionRT, PreludeDx, Laguna Hills, CA) was developed. The test provides a validated score (DS) for assessing 10-year risk of recurrence and RT benefit using individual tumor biology, as assessed by clinical and pathologic biomarkers. The primary objective of the PREDICT registries is to understand the decision impact such a tool has on treatment decisions. Prospective Clinical Trial Design: This is a multicenter, prospective, observational registry for women diagnosed with DCIS in Australia. After DCIS diagnosis, sites will send the most representative tissue block or sections mounted on charged slides to the PreludeDx lab for biosignature testing. Treating physicians will complete a treatment recommendation survey before and after receiving the biosignature test results. Test results, treatment recommendations, patient preferences and clinicopathologic features will be stored in a de-identified registry for participating institutions from a variety of geographic regions across Australia. Women will then be followed for up to 10 years with completion of a follow-up form. The study has been approved by the North Shore Local Health District Human Research Ethics Committee, St Leonards, NSW, Australia. Universal Trial Number (UTN): U1111-1266-0439; ANZCTR: ACTRN12621000695808; ClinicalTrials.gov: NCT04916808. Eligibility Criteria: The study includes females age 26 or older who are candidates for BCS and eligible for RT and/or systemic treatment. Subjects must not have been previously treated for DCIS or have previous or current invasive or micro-invasive breast cancer. Specific Aims: The primary endpoints are changes in treatment recommendations for surgical, radiation and hormonal therapy. Secondary endpoints are identification of key drivers for treatment recommendations, including age, size, grade, necrosis, hormone receptor status, patient preference and biosignature status. Statistical Methods: Changes in pre- and post-DCISionRT treatment recommendations will be analyzed using McNemar’s test (alpha level = 0.05). Multivariate logistic regression will be used to determine odds ratios of clinicopathologic factors leading to pre- and post-test treatment recommendations. Pre-test covariates include patient age, tumor size, palpability, margin status, hormone receptor status, nuclear grade, tumor necrosis, family history of breast cancer, race, ethnicity and patient preference, as well as physician specialty (surgeons vs. radiation oncologists) and post-test covariates will also include the DCISionRT Decision Score (DS). Differences in recurrence-free and overall survival will be assessed by Kaplan-Meier survival analysis using the log-rank test and/or the Cox Proportional Hazards model. Statistical analyses will be carried out using R (https://www.r-project.org) or SAS. An early interim analysis based on the first 200 enrolled patients is currently underway. Present and Planned Accrual: We are planning to enroll up to 1,500 women from up to 100 sites across Australia. A similar registry has recently completed enrollment of 2,500 women from 68 sites in the US. Citation Format: Yvonne Zissiadis, G Bruce Mann, David Speakman, Christobel Saunders, Christopher Pyke, Daniel De Viana, Melissa Bochner, James R. French, Marcus Dreosti, Sally Baron-Hay, Alexandra Feetham, Kim Kirkham, Shane Ryan, Karuna Mittal, Steven C. Shivers, Troy Bremer. The PREDICT Registry Australia: A prospective registry to evaluate the clinical utility of a 7-gene predictive biosignature on treatment decisions in patients with ductal carcinoma in situ [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr OT3-11-03.
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