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      Development of an Automated Liquid Biopsy Assay for Methylated Markers in Advanced Breast Cancer

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          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 hours. 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% confidence interval (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.

          Significance:

          We technically validated an automated, cartridge-based, liquid biopsy prototype assay, to quantitatively measure breast cancer methylation in serum or plasma of patients with MBC, that demonstrated high sensitivity and specificity.

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          Most cited references27

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Sensitive tumour detection and classification using plasma cell-free DNA methylomes

            The use of liquid biopsies for cancer detection and management is rapidly gaining prominence1. Current methods for the detection of circulating tumour DNA involve sequencing somatic mutations using cell-free DNA, but the sensitivity of these methods may be low among patients with early-stage cancer given the limited number of recurrent mutations2-5. By contrast, large-scale epigenetic alterations-which are tissue- and cancer-type specific-are not similarly constrained6 and therefore potentially have greater ability to detect and classify cancers in patients with early-stage disease. Here we develop a sensitive, immunoprecipitation-based protocol to analyse the methylome of small quantities of circulating cell-free DNA, and demonstrate the ability to detect large-scale DNA methylation changes that are enriched for tumour-specific patterns. We also demonstrate robust performance in cancer detection and classification across an extensive collection of plasma samples from several tumour types. This work sets the stage to establish biomarkers for the minimally invasive detection, interception and classification of early-stage cancers based on plasma cell-free DNA methylation patterns.
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              Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: SupervisionRole: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - original draftRole: Writing - review and editing
                Role: ConceptualizationRole: SoftwareRole: Formal analysisRole: SupervisionRole: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - original draftRole: Project administrationRole: Writing - review and editing
                Role: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - review and editing
                Role: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - review and editing
                Role: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - review and editing
                Role: InvestigationRole: MethodologyRole: Writing - review and editing
                Role: Formal analysisRole: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - original draftRole: Writing - review and editing
                Role: MethodologyRole: Writing - review and editing
                Role: MethodologyRole: Writing - review and editing
                Role: Methodology
                Role: ResourcesRole: Data curation
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: Investigation
                Role: Data curationRole: Investigation
                Role: ResourcesRole: Data curationRole: Investigation
                Role: ResourcesRole: Data curationRole: Investigation
                Role: ConceptualizationRole: InvestigationRole: Writing - original draftRole: Project administrationRole: Writing - review and editing
                Role: ConceptualizationRole: ResourcesRole: SoftwareRole: Formal analysisRole: SupervisionRole: Funding acquisitionRole: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - original draftRole: Project administrationRole: Writing - review and editing
                Role: ConceptualizationRole: ResourcesRole: Formal analysisRole: SupervisionRole: Funding acquisitionRole: ValidationRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing - original draftRole: Project administrationRole: Writing - review and editing
                Journal
                Cancer Res Commun
                Cancer Res Commun
                Cancer Research Communications
                American Association for Cancer Research
                2767-9764
                June 2022
                01 June 2022
                : 2
                : 6
                : 391-401
                Affiliations
                [1 ]Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
                [2 ]Cepheid, Sunnyvale, California.
                [3 ]Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, P.R. China.
                [4 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
                [5 ]Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
                Author notes

                Current address for C. Mercado-Rodriguez: Department of Medicine, University of Florida College of Medicine, Gainesville, Florida.

                Corresponding Author: Saraswati Sukumar, Department of Oncology, Johns Hopkins University School of Medicine, 1650 Orleans Street, CRB1/Rm 144, Baltimore, MD 21231. Phone: 410-614-2479, Fax: 410-614-4073; E-mail: saras@ 123456jhmi.edu
                Author information
                https://orcid.org/0000-0001-6156-510X
                https://orcid.org/0000-0002-6603-3863
                https://orcid.org/0000-0002-0582-8005
                https://orcid.org/0000-0002-1993-0553
                https://orcid.org/0000-0003-3734-1063
                https://orcid.org/0000-0003-4018-4708
                https://orcid.org/0000-0003-4122-0715
                https://orcid.org/0000-0002-5656-6703
                Article
                CRC-22-0133
                10.1158/2767-9764.CRC-22-0133
                9426415
                36046124
                023ecbb6-6dc3-4da8-a36f-069add88cbc1
                © 2022 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

                History
                : 22 March 2022
                : 03 May 2022
                : 03 May 2022
                Page count
                Pages: 11
                Funding
                Funded by: http://dx.doi.org/10.13039/100000005, U.S. Department of Defense (DOD);
                Award ID: W81XWH-18-1-0018
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100017037, Cepheid (Cepheid Inc);
                Award ID: #90066820
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100000142, Avon Foundation for Women (AFW);
                Award ID: 3P40 CA006973-41S
                Award Recipient :
                Funded by: http://dx.doi.org/10.13039/100009634, Susan G. Komen (SGK);
                Award ID: BCTR0504444
                Award Recipient :
                Categories
                Research Article
                Breast Cancer
                Liquid Biopsy
                Epigenetics
                DNA methylation
                Biomarkers
                Serum Biomarkers
                Epigenetic Biomarkers
                Prognostic Biomarkers
                Diagnostic Biomarkers
                Custom metadata
                true

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