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      The mutational landscape of spinal chordomas and their sensitive detection using circulating tumor DNA

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          Abstract

          Background

          Chordomas are the most common primary spinal column malignancy in the United States. The aim of this study was to determine whether chordomas may be detected by evaluating mutations in circulating tumor DNA (ctDNA).

          Methods

          Thirty-two patients with a biopsy-confirmed diagnosis of chordoma had blood drawn pre-operatively and/or at follow-up appointments. Mutations in the primary tumor were identified by whole exome sequencing and liquid biopsy by ddPCR and/or RACE-Seq was used to detect one or more of these mutations in plasma ctDNA at concurrent or later time points.

          Results

          At the time of initial blood draw, 87.1% of patients were ctDNA positive ( P <.001). Follow-up blood draws in twenty of the patients suggest that ctDNA levels may reflect the clinical status of the disease. Patients with positive ctDNA levels were more likely to have greater mutant allele frequencies in their primary tumors ( P = .004) and undergo radiotherapy ( P = .02), and the presence of ctDNA may correlate with response to systemic chemotherapy and/or disease recurrence.

          Conclusions

          Detection of ctDNA mutations may allow for the detection and monitoring of disease progression for chordomas.

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          Most cited references22

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          STRING v10: protein–protein interaction networks, integrated over the tree of life

          The many functional partnerships and interactions that occur between proteins are at the core of cellular processing and their systematic characterization helps to provide context in molecular systems biology. However, known and predicted interactions are scattered over multiple resources, and the available data exhibit notable differences in terms of quality and completeness. The STRING database (http://string-db.org) aims to provide a critical assessment and integration of protein–protein interactions, including direct (physical) as well as indirect (functional) associations. The new version 10.0 of STRING covers more than 2000 organisms, which has necessitated novel, scalable algorithms for transferring interaction information between organisms. For this purpose, we have introduced hierarchical and self-consistent orthology annotations for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution. Further improvements in version 10.0 include a completely redesigned prediction pipeline for inferring protein–protein associations from co-expression data, an API interface for the R computing environment and improved statistical analysis for enrichment tests in user-provided networks.
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            Detection of circulating tumor DNA in early- and late-stage human malignancies.

            The development of noninvasive methods to detect and monitor tumors continues to be a major challenge in oncology. We used digital polymerase chain reaction-based technologies to evaluate the ability of circulating tumor DNA (ctDNA) to detect tumors in 640 patients with various cancer types. We found that ctDNA was detectable in >75% of patients with advanced pancreatic, ovarian, colorectal, bladder, gastroesophageal, breast, melanoma, hepatocellular, and head and neck cancers, but in less than 50% of primary brain, renal, prostate, or thyroid cancers. In patients with localized tumors, ctDNA was detected in 73, 57, 48, and 50% of patients with colorectal cancer, gastroesophageal cancer, pancreatic cancer, and breast adenocarcinoma, respectively. ctDNA was often present in patients without detectable circulating tumor cells, suggesting that these two biomarkers are distinct entities. In a separate panel of 206 patients with metastatic colorectal cancers, we showed that the sensitivity of ctDNA for detection of clinically relevant KRAS gene mutations was 87.2% and its specificity was 99.2%. Finally, we assessed whether ctDNA could provide clues into the mechanisms underlying resistance to epidermal growth factor receptor blockade in 24 patients who objectively responded to therapy but subsequently relapsed. Twenty-three (96%) of these patients developed one or more mutations in genes involved in the mitogen-activated protein kinase pathway. Together, these data suggest that ctDNA is a broadly applicable, sensitive, and specific biomarker that can be used for a variety of clinical and research purposes in patients with multiple different types of cancer.
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              Circulating mutant DNA to assess tumor dynamics.

              The measurement of circulating nucleic acids has transformed the management of chronic viral infections such as HIV. The development of analogous markers for individuals with cancer could similarly enhance the management of their disease. DNA containing somatic mutations is highly tumor specific and thus, in theory, can provide optimum markers. However, the number of circulating mutant gene fragments is small compared to the number of normal circulating DNA fragments, making it difficult to detect and quantify them with the sensitivity required for meaningful clinical use. In this study, we applied a highly sensitive approach to quantify circulating tumor DNA (ctDNA) in 162 plasma samples from 18 subjects undergoing multimodality therapy for colorectal cancer. We found that ctDNA measurements could be used to reliably monitor tumor dynamics in subjects with cancer who were undergoing surgery or chemotherapy. We suggest that this personalized genetic approach could be generally applied to individuals with other types of cancer.
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                Author and article information

                Journal
                Neurooncol Adv
                Neurooncol Adv
                noa
                Neuro-oncology Advances
                Oxford University Press (US )
                2632-2498
                Jan-Dec 2021
                08 December 2020
                08 December 2020
                : 3
                : 1
                : vdaa173
                Affiliations
                [1 ] Ludwig Center for Cancer Genetics and Therapeutics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine , Baltimore, Maryland, USA
                [2 ] State Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing, China
                [3 ] Department of Neurosurgery, Johns Hopkins University School of Medicine , Baltimore, Maryland, USA
                [4 ] Department of Neurosurgery, Northwestern University School of Medicine , Chicago, Illinois, USA
                [5 ] Department of Neurosurgery, Brown University School of Medicine , Providence, Rhode Island, USA
                [6 ] Department of Neurosurgery, Mayo Clinic , Jacksonville, Florida, USA
                [7 ] Department of Oncology, Johns Hopkins University School of Medicine , Baltimore, Maryland, USA
                Author notes
                Corresponding Author: Chetan Bettegowda, MD, PhD, Johns Hopkins University School of Medicine, 600 N Wolfe St, Phipps 118, Baltimore, MD 21128, USA ( cbetteg1@ 123456jhmi.edu ).
                Author information
                http://orcid.org/0000-0002-7567-5542
                http://orcid.org/0000-0003-3187-5697
                Article
                vdaa173
                10.1093/noajnl/vdaa173
                7850091
                33543146
                554ccffb-09f3-4ae5-9380-120c831b5f20
                © The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 January 2021
                Page count
                Pages: 11
                Funding
                Funded by: Chordoma Foundation, DOI 10.13039/100009272;
                Funded by: AO Spine Young Investigators Grant;
                Funded by: Burroughs Wellcome Career Award for Medical Scientists;
                Funded by: Doris Duke Charitable Foundation, DOI 10.13039/100000862;
                Award ID: 2014107
                Funded by: CAMS Innovation Fund for Medical Sciences;
                Award ID: CIFMS 2016-I2M-1-001
                Categories
                Basic and Translational Investigations
                AcademicSubjects/MED00300
                AcademicSubjects/MED00310

                biomarker,cell free dna,chordoma,circulating tumor dna,liquid biopsy

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