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      Complementary Sequential Circulating Tumor Cell (CTC) and Cell-Free Tumor DNA (ctDNA) Profiling Reveals Metastatic Heterogeneity and Genomic Changes in Lung Cancer and Breast Cancer

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          Abstract

          Introduction

          Circulating tumor cells (CTCs) and cell-free tumor DNA (ctDNA) are tumor components present in circulation. Due to the limited access to both CTC enrichment platforms and ctDNA sequencing in most laboratories, they are rarely analyzed together.

          Methods

          Concurrent isolation of ctDNA and single CTCs were isolated from lung cancer and breast cancer patients using the combination of size-based and CD45-negative selection method via DropCell platform. We performed targeted amplicon sequencing to evaluate the genomic heterogeneity of CTCs and ctDNA in lung cancer and breast cancer patients.

          Results

          Higher degrees of genomic heterogeneity were observed in CTCs as compared to ctDNA. Several shared alterations present in CTCs and ctDNA were undetected in the primary tumor, highlighting the intra-tumoral heterogeneity of tumor components that were shed into systemic circulation. Accordingly, CTCs and ctDNA displayed higher degree of concordance with the metastatic tumor than the primary tumor. The alterations detected in circulation correlated with worse survival outcome for both lung and breast cancer patients emphasizing the impact of the metastatic phenotype. Notably, evolving genetic signatures were detected in the CTCs and ctDNA samples during the course of treatment and disease progression.

          Conclusions

          A standardized sample processing and data analysis workflow for concurrent analysis of CTCs and ctDNA successfully dissected the heterogeneity of metastatic tumor in circulation as well as the progressive genomic changes that may potentially guide the selection of appropriate therapy against evolving tumor clonality.

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          Most cited references51

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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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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              Comprehensive molecular portraits of human breast tumors

              Summary We analyzed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, mRNA arrays, microRNA sequencing and reverse phase protein arrays. Our ability to integrate information across platforms provided key insights into previously-defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at > 10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the Luminal A subtype. We identified two novel protein expression-defined subgroups, possibly contributed by stromal/microenvironmental elements, and integrated analyses identified specific signaling pathways dominant in each molecular subtype including a HER2/p-HER2/HER1/p-HER1 signature within the HER2-Enriched expression subtype. Comparison of Basal-like breast tumors with high-grade Serous Ovarian tumors showed many molecular commonalities, suggesting a related etiology and similar therapeutic opportunities. The biologic finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biologic subtypes of breast cancer.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                16 July 2021
                2021
                : 11
                : 698551
                Affiliations
                [1] 1 Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore , Singapore, Singapore
                [2] 2 Clearbridge mFluidics Pte Ltd , Singapore, Singapore
                [3] 3 Department of Biomedical Engineering, National University of Singapore , Singapore, Singapore
                [4] 4 Department of Anatomical Pathology, Singapore General Hospital , Singapore, Singapore
                [5] 5 Division of Medical Oncology, National Cancer Center , Singapore, Singapore
                [6] 6 Duke-NUS Medical School , Singapore, Singapore
                [7] 7 Biolidics Ltd , Singapore, Singapore
                [8] 8 Institute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne , Cologne, Germany
                [9] 9 Center for Molecular Medicine Cologne, University of Cologne , Cologne, Germany
                [10] 10 IMCB-NCCS-MP Singapore OncoGenome Laboratory, Institute of Molecular and Cell Biology , Singapore, Singapore
                Author notes

                Edited by: Parvin Mehdipour, Tehran University of Medical Sciences, Iran

                Reviewed by: Annika Fendler, Francis Crick Institute, United Kingdom; Sanjay Rathod, University of Pittsburgh, United States

                *Correspondence: Say Li Kong, k_sayli@ 123456yahoo.com.sg ; Yoon Sim Yap, yap.yoon.sim@ 123456singhealth.com.sg ; Wan-Teck Lim, dmolwt@ 123456nccs.com.sg

                †Present Address: Swee Jin Tan, Sysmex Asia Pacific Pte Ltd, Singapore, Singapore

                This article was submitted to Cancer Genetics, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2021.698551
                8322849
                34336686
                41a00d7d-099a-4e6a-b361-039048494a5f
                Copyright © 2021 Kong, Liu, Tan, Tai, Phua, Poh, Yeo, Chua, Haw, Ling, Ng, Tan, Loh, Tan, Ng, Ang, Toh, Lee, Lim, Lim, Hillmer, Yap and Lim

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 April 2021
                : 30 June 2021
                Page count
                Figures: 6, Tables: 4, Equations: 0, References: 53, Pages: 15, Words: 5880
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                circulating tumor cells,cell-free tumor dna,amplicon-sequencing,metastatic signatures,genomic heterogeneity,evolving alterations,lung cancer,breast cancer

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