Verification of the BREASTEST assay in an Australian population: A novel liquid biopsy assay measuring lipid biomarkers for early-stage breast cancer screening.

D David Speakman (Peter MacCallum Cancer Centre, Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia) K Klaus-Peter Adam (BCAL Diagnostics Inc., Raleigh, NC) T Tim Huang (OmniOmics.ai, Sydney, NSW, Australia) S Sanjay Warrier (Chris O’Brien Lifehouse, Sydney, NSW, Australia) C Corinne Ooi (Southern Breast Oncology, Melbourne, VIC, Australia) J James French (Lakeview Private Hospital, Sydney, NSW, Australia) E Elisabeth Elder (Lakeview Private Hospital, Sydney, NSW, Australia) C Cindy Mak (Chris O’Brien Lifehouse, Sydney, NSW, Australia) M Mary Rickard (Sydney Breast Clinic, Sydney, NSW, Australia) W Wendy Vincent (BreastScreen NSW (SLHD), Royal Prince Alfred Hospital, Sydney, NSW, Australia) C Catherine Poliness (The Royal Melbourne Hospital, Melbourne, VIC, Australia) K Kuan-Chi Wang (St Vincents Private Hospital, Sydney, NSW, Australia) N Nirmala Pathmanathan (Westmead Hospital, Sydney, NSW, Australia) B Bruce Mann (The Royal Melbourne Hospital, Melbourne, VIC, Australia) A Amani Batarseh (BCAL Diagnostics, Sydney, NSW, Australia) J John Hurrell (BCAL Diagnostics, Sydney, NSW, Australia) F Fatemeh Vafaee S Simon Preston (BCAL Diagnostics, Sydney, NSW, Australia)

Abstract

613 Background: Women with dense breasts are at higher risk of developing breast cancer however there is no agreement on how to screen these women, despite mandatory density reporting becoming more prevalent. Currently available image-based, population level breast screening modalities have poor sensitivity in these women. Likewise, the positive predictive value of imaging is reduced due to a higher false positive rate/recall rate compared to that of women with less dense breasts. Liquid biopsy approaches do not suffer from imaging-dependent challenges with density and provide a promising option in this population. We have discovered a novel liquid biopsy assay using a lipidomic discovery platform by combining liquid chromatography tandem mass spectrometry (LC-MS/MS) and machine learning. The BREASTEST assay is intended to complement standard of care screening and address gaps in the current screening paradigm. Methods: This study was conducted to verify the performance of the BREASTEST assay in an Australian population (n = 720). This verification study was an observational case-control study that prospectively recruited women with breast cancer (n = 275) or without (n = 446) across 10 clinical sites over a 34-month period. A primary imaging modality was identified for each subject and a binary classification was assigned to the outcome of this imaging (normal/suspicious) to enable comparison to, and combination with, the BREASTEST assay. An assay with a high sensitivity has utility as a rule-out test and would complement population-based imaging (high specificity). Therefore, the assay was designed to achieve a sensitivity of 0.90. The combined specificity of imaging with the assay was calculated to estimate the clinical benefit BREASTEST could bring in ruling-out women without breast cancer. A safe de-escalation rate was also calculated in this study to assess the potential reduction in unnecessary further assessment if this assay was added to standard imaging. Results: The utility of the BREASTEST assay was observed when results were combined with primary imaging data in the study cohort. Across all imaging modalities and breast densities, the assay improved the combined specificity in 45–75-year-old women by +6.1% (0.712, 0.773) and had a safe de-escalation rate of 21.0%. Highlighting the potential benefit to women with dense breasts, in women aged 30-49 years with breast density category D the combined specificity was +14.7% (0.585, 0.732) and safe de-escalation rate of 37.5%. The BREASTEST assay alone obtained a sensitivity of 0.90, specificity of 0.369 with an AUC of 0.743. Conclusions: The performance and utility of the BREASTEST assay was verified in this study in an Australian population. It has highlighted the potential of this assay in the workup of women with breast conditions, in particular women with dense breasts.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 613-613
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (18)

D

David Speakman

Peter MacCallum Cancer Centre, Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia

K

Klaus-Peter Adam

BCAL Diagnostics Inc., Raleigh, NC

T

Tim Huang

OmniOmics.ai, Sydney, NSW, Australia

S

Sanjay Warrier

Chris O’Brien Lifehouse, Sydney, NSW, Australia

C

Corinne Ooi

Southern Breast Oncology, Melbourne, VIC, Australia

J

James French

Lakeview Private Hospital, Sydney, NSW, Australia

E

Elisabeth Elder

Lakeview Private Hospital, Sydney, NSW, Australia

C

Cindy Mak

Chris O’Brien Lifehouse, Sydney, NSW, Australia

M

Mary Rickard

Sydney Breast Clinic, Sydney, NSW, Australia

W

Wendy Vincent

BreastScreen NSW (SLHD), Royal Prince Alfred Hospital, Sydney, NSW, Australia

C

Catherine Poliness

The Royal Melbourne Hospital, Melbourne, VIC, Australia

K

Kuan-Chi Wang

St Vincents Private Hospital, Sydney, NSW, Australia

N

Nirmala Pathmanathan

Westmead Hospital, Sydney, NSW, Australia

B

Bruce Mann

The Royal Melbourne Hospital, Melbourne, VIC, Australia

A

Amani Batarseh

BCAL Diagnostics, Sydney, NSW, Australia

J

John Hurrell

BCAL Diagnostics, Sydney, NSW, Australia

F

Fatemeh Vafaee

S

Simon Preston

BCAL Diagnostics, Sydney, NSW, Australia