Literature DB >> 36046124

Development of an automated liquid biopsy assay for methylated markers in advanced breast cancer.

Mary Jo Fackler1, Suzana Tulac2, Neesha Venkatesan2, Adam J Aslam2, Timothy N de Guzman2, Claudia Mercado-Rodriguez1, Leslie M Cope1, Bradley M Downs1, Abdul Hussain Vali1, Wanjun Ding3,1, Jennifer Lehman1, Rita Denbow1, Jeffrey Reynolds1, Morgan E Buckley1, Kala Visvanathan1,4, Christopher B Umbricht5, Antonio C Wolff1, Vered Stearns1, Michael Bates2, Edwin W Lai2, Saraswati Sukumar1.   

Abstract

Current molecular liquid biopsy assays to detect recurrence or monitor response to treatment require sophisticated technology, highly trained personnel, and a turnaround time of weeks. We describe the development and technical validation of an automated Liquid Biopsy for Breast Cancer Methylation (LBx-BCM) prototype, a DNA methylation detection cartridge assay that is simple to perform and quantitatively detects nine methylated markers within 4.5 h. LBx-BCM demonstrated high interassay reproducibility when analyzing exogenous methylated DNA (75-300 DNA copies) spiked into plasma (Coefficient of Variation, CV = 7.1 - 10.9%) and serum (CV = 19.1 - 36.1%). It also demonstrated high interuser reproducibility (Spearman r = 0.887, P < 0.0001) when samples of metastatic breast cancer (MBC, N = 11) and normal control (N = 4) were evaluated independently by two users. Analyses of interplatform reproducibility indicated very high concordance between LBx-BCM and the reference assay, cMethDNA, among 66 paired plasma samples (MBC N = 40, controls N = 26; Spearman r = 0.891; 95% CI = 0.825 - 0.933, P< 0.0001). LBx-BCM achieved a ROC AUC = 0.909 (95% CI = 0.836 - 0.982), 83% sensitivity and 92% specificity; cMethDNA achieved a ROC AUC = 0.896 (95% CI = 0.817 - 0.974), 83% sensitivity and 92% specificity in test set samples. The automated LBx-BCM cartridge prototype is fast, with performance levels equivalent to the highly sensitive, manual cMethDNA method. Future prospective clinical studies will evaluate LBx-BCM detection sensitivity and its ability to monitor therapeutic response during treatment for advanced breast cancer.

Entities:  

Keywords:  Automated; Biomarker; Breast Cancer; DNA Methylation; Liquid Biopsy

Year:  2022        PMID: 36046124      PMCID: PMC9426415          DOI: 10.1158/2767-9764.crc-22-0133

Source DB:  PubMed          Journal:  Cancer Res Commun        ISSN: 2767-9764


  25 in total

1.  Single-Nucleotide Polymorphism Leading to False Allelic Fraction by Droplet Digital PCR.

Authors:  Eric S Christenson; W Brian Dalton; David Chu; Ian Waters; Karen Cravero; Daniel J Zabransky; Amy E DeZern; Ben Ho Park
Journal:  Clin Chem       Date:  2017-06-14       Impact factor: 8.327

Review 2.  Liquid biopsy in breast cancer: A comprehensive review.

Authors:  Sahar Alimirzaie; Maryam Bagherzadeh; Mohammad R Akbari
Journal:  Clin Genet       Date:  2019-02-27       Impact factor: 4.438

3.  Liquid biopsy for the detection of clinical biomarkers in early breast cancer: new insights and challenges.

Authors:  Akiko Matsutani; Chihiro Udagawa; Yuki Matsunaga; Seigo Nakamura; Hitoshi Zembutsu
Journal:  Pharmacogenomics       Date:  2020-04-14       Impact factor: 2.533

4.  Targeting CDK9 Reactivates Epigenetically Silenced Genes in Cancer.

Authors:  Hanghang Zhang; Somnath Pandey; Meghan Travers; Hongxing Sun; George Morton; Jozef Madzo; Woonbok Chung; Jittasak Khowsathit; Oscar Perez-Leal; Carlos A Barrero; Carmen Merali; Yasuyuki Okamoto; Takahiro Sato; Joshua Pan; Judit Garriga; Natarajan V Bhanu; Johayra Simithy; Bela Patel; Jian Huang; Noël J-M Raynal; Benjamin A Garcia; Marlene A Jacobson; Cigall Kadoch; Salim Merali; Yi Zhang; Wayne Childers; Magid Abou-Gharbia; John Karanicolas; Stephen B Baylin; Cynthia A Zahnow; Jaroslav Jelinek; Xavier Graña; Jean-Pierre J Issa
Journal:  Cell       Date:  2018-10-25       Impact factor: 41.582

5.  Gene Methylation and Cytological Atypia in Random Fine-Needle Aspirates for Assessment of Breast Cancer Risk.

Authors:  Vered Stearns; Mary Jo Fackler; Seema A Khan; Saraswati Sukumar; Sidra Hafeez; Zoila Lopez Bujanda; Robert T Chatterton; Lisa K Jacobs; Nagi F Khouri; David Ivancic; Kara Kenney; Christina Shehata; Stacie C Jeter; Judith A Wolfman; Carola M Zalles; Peng Huang
Journal:  Cancer Prev Res (Phila)       Date:  2016-06-03

6.  Novel methylated biomarkers and a robust assay to detect circulating tumor DNA in metastatic breast cancer.

Authors:  Mary Jo Fackler; Zoila Lopez Bujanda; Christopher Umbricht; Wei Wen Teo; Soonweng Cho; Zhe Zhang; Kala Visvanathan; Stacie Jeter; Pedram Argani; Chenguang Wang; Jaclyn P Lyman; Marina de Brot; James N Ingle; Judy Boughey; Kandace McGuire; Tari A King; Lisa A Carey; Leslie Cope; Antonio C Wolff; Saraswati Sukumar
Journal:  Cancer Res       Date:  2014-04-15       Impact factor: 12.701

Review 7.  Aberrantly Methylated cfDNA in Body Fluids as a Promising Diagnostic Tool for Early Detection of Breast Cancer.

Authors:  Igor Stastny; Pavol Zubor; Karol Kajo; Peter Kubatka; Olga Golubnitschaja; Zuzana Dankova
Journal:  Clin Breast Cancer       Date:  2020-05-16       Impact factor: 3.225

8.  Comparison of central laboratory assessments of ER, PR, HER2, and Ki67 by IHC/FISH and the corresponding mRNAs (ESR1, PGR, ERBB2, and MKi67) by RT-qPCR on an automated, broadly deployed diagnostic platform.

Authors:  Natalie C Wu; Wendy Wong; Kenneth E Ho; Victor C Chu; Annaliza Rizo; Simon Davenport; Devon Kelly; Rosemary Makar; Jacek Jassem; Renata Duchnowska; Wojciech Biernat; Barbara Radecka; Tomoyuki Fujita; Jonathan L Klein; Mark Stonecypher; Shoichiro Ohta; Hartmut Juhl; Jodi M Weidler; Michael Bates; Michael F Press
Journal:  Breast Cancer Res Treat       Date:  2018-08-17       Impact factor: 4.872

Review 9.  Epigenetic IVD Tests for Personalized Precision Medicine in Cancer.

Authors:  Jesús Beltrán-García; Rebeca Osca-Verdegal; Salvador Mena-Mollá; José Luis García-Giménez
Journal:  Front Genet       Date:  2019-06-28       Impact factor: 4.599

Review 10.  DNA Methylation-Based Testing in Liquid Biopsies as Detection and Prognostic Biomarkers for the Four Major Cancer Types.

Authors:  Vera Constâncio; Sandra P Nunes; Rui Henrique; Carmen Jerónimo
Journal:  Cells       Date:  2020-03-05       Impact factor: 6.600

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