NeoCircle: Investigating circulating tumor DNA dynamics as a predictor of survival in primary breast cancer.

A Anthony M George (Lund University, Lund, Sweden) Y Yilun Chen (Lund University, Lund, Sweden) S Sergii Gladchuk (Lund University, Lund, Sweden) M Miguel Alcaide Torres (SAGA Diagnostics, Morrisville, NC) H Hina Dalal (Lund University, Lund, Sweden) P Pei Meng (Lund University, Lund, Sweden) C Christian Brueffer (Lund University, Lund, Sweden) H Hani Saghir (Lund University, Lund, Sweden) S Siker Kimbung (Lund University, Lund, Sweden) L Lucia Oton (SAGA Diagnostics, Morrisville, NC) I Ida Skarping (Lund University, Lund, Sweden) D Daniel Förnvik (Lund University, Lund, Sweden) G Gabriella Honeth (Lund University, Lund, Sweden) K Karen Howarth (SAGA Diagnostics, Morrisville, NC) Åke Borg A Anna Ehinger M Martin Malmberg (Skane University Hospital, Helsingborg, Sweden) L Lisa Rydén N Niklas Loman (Lund University, Lund, Sweden) L Lao H. Saal (DoMore Diagnostics, Oslo, Norway)

Abstract

3057 Background: Persistent circulating tumor DNA (ctDNA) detection during neoadjuvant treatment (NAT) of early-breast cancer (EBC) indicates high-risk disease. Following surgical resection, ctDNA-positivity indicates molecular residual disease (MRD) and heralds occult metastatic disease relapse. To incorporate ctDNA into EBC management, scalable and widely accessible diagnostic methods are necessary. Here we apply an ultrasensitive, personalized tumor-informed approach to ctDNA analysis leveraging structural variant (SV) detection using a novel multiplex digital PCR (dPCR) technology. Methods: 116 patients with stage I-III EBC (31.0% TNBC, 43.1% HR+/HER2- and 24.1% HER2+) and eligible for NAT were recruited through the prospective SCAN-B study (NCT02306096, substudy NeoCircle) between December 2014 and March 2019 and have been analyzed for ctDNA. Whole genome sequencing was performed on tumor material and personalized multiplex dPCR assays tracking up to 16 SVs were used for ctDNA monitoring. Plasma samples were collected at baseline, during NAT, pre- and post-surgery and at 6-monthly intervals during follow up. Results: High baseline detection was observed across all stages and subtypes (90.5% overall), and ctDNA-positivity at end-of-NAT (end-NAT) was a significant predictor of eventual disease relapse and death (relapse-free interval, RFI, hazard ratio, HR, 3.7, 95% CI 1.4-9.7; overall survival HR 7.7, 95% CI 2.2-26.6). A significant association was observed between end-NAT ctDNA clearance and pathological complete response (pCR), whereas non-pCR by itself was not a significant predictor of relapse or death in this cohort. At one or more post-operative timepoints, MRD+ was detected in 10 patients who experienced distant recurrence, with lead times up to 4 years (median 13.9 months, range 1.8-47.7 months). Similarly, ctDNA was detected in 3 of 4 patients with local recurrences and 1 of 2 patients with CNS-only recurrences. For 2 patients without presentation of clinical recurrence to date, ctDNA was detected post-operatively, with subsequent clearance during follow-up. Post-operative MRD associated with poor RFI (HR 45.5, 95% CI 13.0-159.8) and OS (HR 15.3, 95% CI 4.5-52.9). Conclusions: In this analysis of 116 patients from a prospective study in patients with EBC receiving NAT, we monitored ctDNA using an ultrasensitive tumor-informed dPCR assay tracking patient-specific SVs. ctDNA detection post-NAT and prior to surgery was associated with high-risk of disease relapse and death, outperforming pCR. Moreover, post-operative ctDNA detection was also significantly associated with disease relapse and death, with long lead-times over standard-of-care clinical assessments. These findings further validate the feasibility of SVs as an MRD analyte and support the clinical use of this approach in EBC.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 3057-3057
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

A

Anthony M George

Lund University, Lund, Sweden

Y

Yilun Chen

Lund University, Lund, Sweden

S

Sergii Gladchuk

Lund University, Lund, Sweden

M

Miguel Alcaide Torres

SAGA Diagnostics, Morrisville, NC

H

Hina Dalal

Lund University, Lund, Sweden

P

Pei Meng

Lund University, Lund, Sweden

C

Christian Brueffer

Lund University, Lund, Sweden

H

Hani Saghir

Lund University, Lund, Sweden

S

Siker Kimbung

Lund University, Lund, Sweden

L

Lucia Oton

SAGA Diagnostics, Morrisville, NC

I

Ida Skarping

Lund University, Lund, Sweden

D

Daniel Förnvik

Lund University, Lund, Sweden

G

Gabriella Honeth

Lund University, Lund, Sweden

K

Karen Howarth

SAGA Diagnostics, Morrisville, NC

Åke Borg

A

Anna Ehinger

M

Martin Malmberg

Skane University Hospital, Helsingborg, Sweden

L

Lisa Rydén

N

Niklas Loman

Lund University, Lund, Sweden

L

Lao H. Saal

DoMore Diagnostics, Oslo, Norway