A Noninvasive Blood-based Combinatorial Proteomic Biomarker Assay to Detect Breast Cancer in Women Under the Age of 50 Years

  • Ana P. Lourenco
  • , Kasey L. Benson
  • , Meredith C. Henderson
  • , Michael Silver
  • , Elias Letsios
  • , Quynh Tran
  • , Kelly J. Gordon
  • , Sherri Borman
  • , Christa Corn
  • , Rao Mulpuri
  • , Wendy Smith
  • , Josie Alpers
  • , Carrie Costantini
  • , Nitin Rohatgi
  • , Rebecca Yang
  • , Ali Haythem
  • , Shah Biren
  • , Michael Morris
  • , Fred Kass
  • , David E. Reese

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

To improve breast cancer diagnosis, 2 prospective clinical trials were conducted to test (n = 351) and validate (n = 210) Videssa Breast. If used in conjunction with imaging, Videssa Breast could have reduced unnecessary biopsies by up to 67%. These results support the joint use of breast imaging and Videssa Breast to better inform clinical decisions for women under age 50. Background Despite significant advances in breast imaging, the ability to detect breast cancer (BC) remains a challenge. To address the unmet needs of the current BC detection paradigm, 2 prospective clinical trials were conducted to develop a blood-based combinatorial proteomic biomarker assay (Videssa Breast) to accurately detect BC and reduce false positives (FPs) from suspicious imaging findings. Patients and Methods Provista-001 and Provista-002 (cohort one) enrolled Breast Imaging Reporting and Data System 3 or 4 women aged under 50 years. Serum was evaluated for 11 serum protein biomarkers and 33 tumor-associated autoantibodies. Individual biomarker expression, demographics, and clinical characteristics data from Provista-001 were combined to develop a logistic regression model to detect BC. The performance was tested using Provista-002 cohort one (validation set). Results The training model had a sensitivity and specificity of 92.3% and 85.3% (BC prevalence, 7.7%), respectively. In the validation set (BC prevalence, 2.9%), the sensitivity and specificity were 66.7% and 81.5%, respectively. The negative predictive value was high in both sets (99.3% and 98.8%, respectively). Videssa Breast performance in the combined training and validation set was 99.1% negative predictive value, 87.5% sensitivity, 83.8% specificity, and 25.2% positive predictive value (BC prevalence, 5.87%). Overall, imaging resulted in 341 participants receiving follow-up procedures to detect 30 cancers (90.6% FP rate). Videssa Breast would have recommended 111 participants for follow-up, a 67% reduction in FPs (P <.00001). Conclusions Videssa Breast can effectively detect BC when used in conjunction with imaging and can substantially reduce unnecessary medical procedures, as well as provide assurance to women that they likely do not have BC.

Original languageEnglish (US)
Pages (from-to)516-525.e6
JournalClinical Breast Cancer
Volume17
Issue number7
DOIs
StatePublished - Nov 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 ProvistaDx

Keywords

  • Biopsies
  • Imaging
  • Liquid biopsy
  • Serum proteins
  • Tumor-associated autoantibodies

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