Literature DB >> 30185421

A Noninvasive Blood-based Combinatorial Proteomic Biomarker Assay to Detect Breast Cancer in Women over age 50 with BI-RADS 3, 4, or 5 Assessment.

Meredith C Henderson1, Michael Silver1, Quynh Tran1, Elias E Letsios1, Rao Mulpuri2, David E Reese1, Ana P Lourenco3, Joshua LaBaer4, Karen S Anderson4, Josie Alpers5, Carrie Costantini6, Nitin Rohatgi7, Haythem Ali8, Karen Baker9, Donald W Northfelt10, Karthik Ghosh11, Stephen R Grobmyer12, Winnie Polen13, Judith K Wolf1.   

Abstract

PURPOSE: With improvements in breast cancer imaging, there has been a corresponding increase in false-positives and avoidable biopsies. There is a need to better differentiate when a breast biopsy is warranted and determine appropriate follow-up. This study describes the design and clinical performance of a combinatorial proteomic biomarker assay (CPBA), Videssa Breast, in women over age 50 years. EXPERIMENTAL
DESIGN: A BI-RADS 3, 4, or 5 assessment was required for clinical trial enrollment. Serum was collected prior to breast biopsy and subjects were followed for 6-12 months and clinically relevant outcomes were recorded. Samples were split into training (70%) and validation (30%) cohorts with an approximate 1:4 case:control ratio in both arms.
RESULTS: A CPBA that combines biomarker data with patient clinical data was developed using a training cohort (469 women, cancer incidence: 18.5%), resulting in 94% sensitivity and 97% negative predictive value (NPV). Independent validation of the final algorithm in 194 subjects (breast cancer incidence: 19.6%) demonstrated a sensitivity of 95% and a NPV of 97%. When combined with previously published data for women under age 50, Videssa Breast achieves a comprehensive 93% sensitivity and 98% NPV in a population of women ages 25-75. Had Videssa Breast results been incorporated into the clinical workflow, approximately 45% of biopsies might have been avoided.
CONCLUSIONS: Videssa Breast combines serum biomarkers with clinical patient characteristics to provide clinicians with additional information for patients with indeterminate breast imaging results, potentially reducing false-positive breast biopsies. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30185421     DOI: 10.1158/1078-0432.CCR-18-0843

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  3 in total

1.  IgM and IgA augmented autoantibody signatures improve early-stage detection of colorectal cancer prior to nodal and distant spread.

Authors:  Md Saiful Islam Roney; Catharine Lanagan; Yong Hua Sheng; Karen Lawler; Christopher Schmidt; Nam-Trung Nguyen; Jakob Begun; Gregor Stefan Kijanka
Journal:  Clin Transl Immunology       Date:  2021-09-26

Review 2.  [Clinical Value of Autoantibody Prognostic Markers in Tumor Immune Checkpoint 
Inhibitor Therapy].

Authors:  Liyuan Dai; Xiaohong Han
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2022-07-20

3.  Autoantibodies in Early Detection of Breast Cancer.

Authors:  Femina Rauf; Karen S Anderson; Joshua LaBaer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-09-29       Impact factor: 4.254

  3 in total

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