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      Longitudinal therapy monitoring of ALK-positive lung cancer by combined copy number and targeted mutation profiling of cell-free DNA

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          Abstract

          Background

          Targeted therapies (TKI) have improved the prognosis of ALK-rearranged lung cancer (ALK + NSCLC), but clinical courses vary widely. Early identification and molecular characterisation of treatment failure have key importance for subsequent therapies. We performed copy number variation (CNV) profiling and targeted panel sequencing from cell-free DNA (cfDNA) to monitor ALK + NSCLC.

          Methods

          271 longitudinal plasma DNA samples from 73 patients with TKI-treated metastatic ALK + NSCLC were analysed by capture-based targeted (average coverage 4,100x), and shallow whole genome sequencing (sWGS, 0.5x). Mutations were called using standard algorithms. CNVs were quantified using the trimmed median absolute deviation from copy number neutrality (t-MAD).

          Findings

          cfDNA mutations were identified in 58% of patients. They included several potentially actionable alterations, e.g. in the genes BRAF, ERBB2, and KIT. sWGS detected CNVs in 18% of samples, compared to 6% using targeted sequencing. Several of the CNVs included potentially druggable targets, such as regions harboring EGFR, ERBB2, and MET. Circulating tumour DNA (ctDNA) mutations and t-MAD scores increased during treatment, correlated with markers of higher molecular risk, such as the EML4-ALK variant 3 and/or TP53 mutations, and were associated with shorter patient survival. Importantly, t-MAD scores reflected the tumour remission status in serial samples similar to mutant ctDNA allele frequencies, and increased with disease progression in 79% (34/43) of cases, including those without detectable single nucleotide variant (SNV).

          Interpretation

          Combined copy number and targeted mutation profiling could improve monitoring of ALK + NSCLC. Potential advantages include the identification of treatment failure, in particular for patients without detectable mutations, and broader detection of genomic changes acquired during therapy, especially in later treatment lines and in high-risk patients.

          Funding

          This work was supported by the German Center for Lung Research (DZL), by the German Cancer Consortium (DKTK), by the Heidelberg Center for Personalized Oncology at the German Cancer Research Center (DKFZ-HIPO), and by Roche Sequencing Solutions (Pleasanton, CA, USA).

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          Most cited references56

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          The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

          The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from more than 5,000 tumor samples from 20 cancer studies. The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications. © 2012 AACR.
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            Liquid biopsies come of age: towards implementation of circulating tumour DNA

            Circulating tumour DNA (ctDNA) analysis has the potential to improve prognostication, molecular profiling and disease monitoring in patients with cancer. This Review summarizes recent advances, potential applications in cancer research and personalized oncology, and the introduction of ctDNA into clinical use.
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              An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage

              Circulating tumor DNA (ctDNA) represents a promising biomarker for noninvasive assessment of cancer burden, but existing methods have insufficient sensitivity or patient coverage for broad clinical applicability. Here we introduce CAncer Personalized Profiling by deep Sequencing (CAPP-Seq), an economical and ultrasensitive method for quantifying ctDNA. We implemented CAPP-Seq for non-small cell lung cancer (NSCLC) with a design covering multiple classes of somatic alterations that identified mutations in >95% of tumors. We detected ctDNA in 100% of stage II–IV and 50% of stage I NSCLC patients, with 96% specificity for mutant allele fractions down to ~0.02%. Levels of ctDNA significantly correlated with tumor volume, distinguished between residual disease and treatment-related imaging changes, and provided earlier response assessment than radiographic approaches. Finally, we explored biopsy-free tumor screening and genotyping with CAPP-Seq. We envision that CAPP-Seq could be routinely applied clinically to detect and monitor diverse malignancies, thus facilitating personalized cancer therapy.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                09 November 2020
                December 2020
                09 November 2020
                : 62
                : 103103
                Affiliations
                [1 ]Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
                [2 ]German Center for Lung Research (DZL), Translational Lung Research Center Heidelberg, Germany
                [3 ]Department of Oncology, Thoraxklinik at University Hospital Heidelberg, Germany
                [4 ]Institute of Pathology, Heidelberg University, Germany
                [5 ]Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany
                [6 ]Medical Faculty, Heidelberg University, Germany
                [7 ]Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
                [8 ]Berlin Institute of Health (BIH) Genomics Core Facility, Charité, University Medical Center, Germany
                [9 ]Translational Research Unit, Thoraxklinik at University Hospital Heidelberg, Germany
                [10 ]Lung Clinic Grosshansdorf, Airway Research Center North, German Center for Lung Research, Germany
                [11 ]German Cancer Consortium (DKTK), Germany
                Author notes
                [# ]Corresponding author. h.sueltmann@ 123456dkfz.de
                [⁎]

                equal contributions

                Article
                S2352-3964(20)30479-5 103103
                10.1016/j.ebiom.2020.103103
                7670098
                33161228
                546d4165-16d2-4586-9b9b-3d94455cdea1
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 5 June 2020
                : 15 September 2020
                : 15 October 2020
                Categories
                Research Paper

                non-small cell lung cancer,alk,liquid biopsy,therapy monitoring

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