Interim FDG-PET/CT for predicting response of HER2-positive breast cancer to neoadjuvant therapy: ECOG-ACRIN EA1211/DIRECT trial.
Year: 2024
Type: conference-abstract
Abstract: TPS614 Background: Strategies to optimize treatment decision-making in early stage HER2-positive breast cancer are a priority. Recent studies suggest that early metabolic changes on FDG-PET/CT predict response to HER2-directed therapy. The TBCRC026 trial showed that participants not obtaining a 40% reduction in SULmax by cycle 1 day 15 (C1D15) following neoadjuvant trastuzumab/pertuzumab (HP) were unlikely to obtain pCR [negative predictive value (NPV) 91%]. This trial aims to validate FDG-PET/CT as a neoadjuvant interim (niFDG-PET/CT) imaging integral biomarker in patients treated with standard HER2-directed regimens (NCT05710328). Methods: Trial design: EA1211/DIRECT is a multicenter, single-arm, primary imaging phase 2 study enrolling patients with stage II/III HER2-positive breast cancer. Patients undergo standard skull base-thigh FDG-PET/CT at baseline and C1D15 and receive standard of care pertuzumab-based neoadjuvant therapy followed by surgery. Eligibility: Age ≥18 years, ECOG performance status 0-2, stage IIa-IIIc, untreated HER2-positive breast cancer with known hormone receptor status, suitable to undergo FDG-PET/CT imaging and neoadjuvant therapy. Statistical methods: ΔSULmaxD15 will be computed as: (D15 SULmax – baseline SULmax)/baseline SULmax. The primary objective is to estimate the NPV of niFDG-PET/CT for pCR using ΔSULmaxD15 of the primary breast cancer at a threshold of 40%. NPV is defined as the probability that pCR will not be achieved by participants with ΔSULmaxD15 <40%. Secondary endpoints include evaluating sensitivity, specificity, and positive predictive value of ΔSULmaxD15 of the primary breast cancer at a threshold of 40% and ability of the niFDG-PET/CT biomarker to predict 3-year event free survival (EFS). Sample size: We expect that 50% of patients will not reach the ΔSULmax threshold of 40% and a pCR rate of 40-60%. The proposed sample size is 210 participants, adjusted to 235 to account for missing data in 10% of cases. Computation of exact, two-sided 95% confidence intervals (CI) for NPV determined the lower limit of the CI is at least 80% when the true NPV is at least 88%. The lower limit is 84% when the true NPV has the value of 91%, which was estimated in the TBCRC026 study. Current status: EA1211/DIRECT was activated in May 2023 across the NCI National Clinical Trials Network (NCTN) and is anticipated to complete in March 2025. Those interested in the clinical trial can email [email protected]. The EA1211/DIRECT trial is the first step in implementing a Response-Guided Treatment Strategy by validating the ΔSULmax threshold of 40% as the optimum cut point across standard of care HER2-directed neoadjuvant regimens. If EA1211/DIRECT meets its objectives, the results will be used to design clinical utility studies, thus hoping to change practice. Clinical trial information: NCT05710328 .
Source: Journal of Clinical Oncology
Authors: Maeve Hennessy, Constantine Gatsonis, Heather Jacene, Roisin M. Connolly, Brian Leslie Burnette, Erica Michelle Stringer-Reasor, Justin Romanoff, Alexander Taurone, Ciara Catherine O'Sullivan, Huong T. Le-Petross, Courtney Lawhn Heath, Vered Stearns, Amy M. Fowler, Shou-Ching Tang, Karla Sepulveda, Angela DeMichele, David A. Mankoff, Antonio C. Wolff
Institutions: University College Cork, Brown University, Dana-Farber Cancer Institute, St. Vincent Hospital, University of Alabama at Birmingham, Mayo Clinic, The University of Texas MD Anderson Cancer Center, University of California San Francisco Medical Center, Weill Cornell Medicine, University of Wisconsin–Madison, University of Wisconsin Carbone Cancer Center, Louisiana State University Health Sciences Center New Orleans, Ben Taub Hospital, Abramson Cancer Center, University of Pennsylvania, Johns Hopkins University, Sidney Kimmel Comprehensive Cancer Center
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4399149646