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      The characteristics of ctDNA reveal the high complexity in matching the corresponding tumor tissues

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          Abstract

          Background

          Next-generation sequencing (NGS) is an efficient and sensitive method to detect mutations from ctDNA. Many features and clinical conditions could significantly affect the concordance between ctDNA and corresponding tumor tissues. Our goal was to systematically investigate the critical factors contributing to different concordance between ctDNA and corresponding tumor tissues.

          Methods

          We recruited two groups of IIIB or IV lung cancer patients: The standard group to evaluate the accuracy of our method and the concordance between ctDNA and tumor tissues, and the study group with various clinical conditions. We applied our unique identification (UID) indexed capturing-based sequencing (UC-Seq) to ctDNA samples, and confirm the results by Droplet digital PCR (ddPCR).

          Results

          Considering mutations detected from NGS of tumor tissues as golden standard, UC-Seq achieved overall 93.6% sensitivity for SNVs and Indels, and 0.8 Pearson correlation between tumor TMB and bTMB. Efficacious treatments, long sampling date (more than 2 weeks) between tumor tissues and ctDNA and low concentrations of cfDNA (less than 9 ng/ml) could significantly decrease the concordance between ctDNA and tumor tissues. About 84% mutations showed shorter mutant fragment length than that of wild-type fragments, and the AFs of mutations could be significantly enriched in small-size ctDNA.

          Conclusions

          In late-stage lung cancer patients, ctDNA generally has high concordance with tumor tissues. However it could be significantly affected by three clinical conditions which could dynamically change the content of ctDNA. Moreover, the detection limit could be further extended by enriching small-size ctDNA in the preparation of samples.

          Electronic supplementary material

          The online version of this article (10.1186/s12885-018-4199-7) contains supplementary material, which is available to authorized users.

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          Most cited references16

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          Lengthening and shortening of plasma DNA in hepatocellular carcinoma patients.

          The analysis of tumor-derived circulating cell-free DNA opens up new possibilities for performing liquid biopsies for the assessment of solid tumors. Although its clinical potential has been increasingly recognized, many aspects of the biological characteristics of tumor-derived cell-free DNA remain unclear. With respect to the size profile of such plasma DNA molecules, a number of studies reported the finding of increased integrity of tumor-derived plasma DNA, whereas others found evidence to suggest that plasma DNA molecules released by tumors might be shorter. Here, we performed a detailed analysis of the size profiles of plasma DNA in 90 patients with hepatocellular carcinoma, 67 with chronic hepatitis B, 36 with hepatitis B-associated cirrhosis, and 32 healthy controls. We used massively parallel sequencing to achieve plasma DNA size measurement at single-base resolution and in a genome-wide manner. Tumor-derived plasma DNA molecules were further identified with the use of chromosome arm-level z-score analysis (CAZA), which facilitated the studying of their specific size profiles. We showed that populations of aberrantly short and long DNA molecules existed in the plasma of patients with hepatocellular carcinoma. The short ones preferentially carried the tumor-associated copy number aberrations. We further showed that there were elevated amounts of plasma mitochondrial DNA in the plasma of hepatocellular carcinoma patients. Such molecules were much shorter than the nuclear DNA in plasma. These results have improved our understanding of the size profile of tumor-derived circulating cell-free DNA and might further enhance our ability to use plasma DNA as a molecular diagnostic tool.
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            Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients

            Circulating tumour DNA (ctDNA) analysis facilitates studies of tumour heterogeneity. Here we employ CAPP-Seq ctDNA analysis to study resistance mechanisms in 43 non-small cell lung cancer (NSCLC) patients treated with the third-generation epidermal growth factor receptor (EGFR) inhibitor rociletinib. We observe multiple resistance mechanisms in 46% of patients after treatment with first-line inhibitors, indicating frequent intra-patient heterogeneity. Rociletinib resistance recurrently involves MET, EGFR, PIK3CA, ERRB2, KRAS and RB1. We describe a novel EGFR L798I mutation and find that EGFR C797S, which arises in ∼33% of patients after osimertinib treatment, occurs in <3% after rociletinib. Increased MET copy number is the most frequent rociletinib resistance mechanism in this cohort and patients with multiple pre-existing mechanisms (T790M and MET) experience inferior responses. Similarly, rociletinib-resistant xenografts develop MET amplification that can be overcome with the MET inhibitor crizotinib. These results underscore the importance of tumour heterogeneity in NSCLC and the utility of ctDNA-based resistance mechanism assessment.
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              Fragment Length of Circulating Tumor DNA

              Malignant tumors shed DNA into the circulation. The transient half-life of circulating tumor DNA (ctDNA) may afford the opportunity to diagnose, monitor recurrence, and evaluate response to therapy solely through a non-invasive blood draw. However, detecting ctDNA against the normally occurring background of cell-free DNA derived from healthy cells has proven challenging, particularly in non-metastatic solid tumors. In this study, distinct differences in fragment length size between ctDNAs and normal cell-free DNA are defined. Human ctDNA in rat plasma derived from human glioblastoma multiforme stem-like cells in the rat brain and human hepatocellular carcinoma in the rat flank were found to have a shorter principal fragment length than the background rat cell-free DNA (134–144 bp vs. 167 bp, respectively). Subsequently, a similar shift in the fragment length of ctDNA in humans with melanoma and lung cancer was identified compared to healthy controls. Comparison of fragment lengths from cell-free DNA between a melanoma patient and healthy controls found that the BRAF V600E mutant allele occurred more commonly at a shorter fragment length than the fragment length of the wild-type allele (132–145 bp vs. 165 bp, respectively). Moreover, size-selecting for shorter cell-free DNA fragment lengths substantially increased the EGFR T790M mutant allele frequency in human lung cancer. These findings provide compelling evidence that experimental or bioinformatic isolation of a specific subset of fragment lengths from cell-free DNA may improve detection of ctDNA.
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                Author and article information

                Contributors
                yangnong0217@163.com
                2209687551@qq.com
                lzdzrd@163.com
                hao.qin@3dmedcare.com
                dmdu69@163.com
                xinkai.cao@3dmedcare.com
                15201348041@163.com
                lj4299@sina.com
                donggedove@126.com
                jiangruonin1973@163.com
                daliduanlincan@163.com
                32875997@qq.com
                zhangzhenghua@csco.org.cn
                Dr.linhao@outlook.com
                ljy15106299908@163.com
                goat2007@sohu.com
                simon.t@3dmedcare.com
                medshenhua@126.com
                13501505588@139.com
                fugen.li@3dmedcare.com
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                23 March 2018
                23 March 2018
                2018
                : 18
                : 319
                Affiliations
                [1 ]GRID grid.410622.3, Lung Cancer and Gastrointestinal Unit, Department of Medical Oncology, , Hunan Cancer Hospital, ; Changsha, China
                [2 ]Department of Oncology, Yunnan Province Traditional Chinese Medicine Hospital, Kunming, China
                [3 ]ISNI 0000 0004 0369 153X, GRID grid.24696.3f, Second Department of Thoracic Surgery, Beijing Chest Hospital, , Capital Medical University, ; Beijing, China
                [4 ]The Research and Development Institute of Precision Medicine, 3D Medicine Inc, Shanghai, China
                [5 ]GRID grid.452847.8, Department of Interventional Radiology, , Shenzhen Second People’s Hospital (First Hospital of Shenzhen University), ; Shenzhen, China
                [6 ]GRID grid.452826.f, Department of Cadre’s Medical Oncology, , The Third Affiliated Hospital of Kunming Medical University(Yunnan Cancer Hospital), ; Kunming, China
                [7 ]GRID grid.452826.f, Department of Thoracic Surgery, , The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, ; Kunming, China
                [8 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Department of oncology, , Jing’An District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing’An Branch), ; Shanghai, China
                [9 ]ISNI 0000 0001 0125 2443, GRID grid.8547.e, Department of Oncology, Huashan Hospital north, , Fudan University, ; Shanghai, China
                [10 ]GRID grid.410730.1, Department of Oncology, , Nantong Tumor Hospital, ; Nantong, China
                [11 ]ISNI 0000 0000 9255 8984, GRID grid.89957.3a, Department of Respiratory Medicine, Nanjing First Hospital, , Nanjing Medical University, ; Nanjing, China
                [12 ]ISNI 0000 0000 9255 8984, GRID grid.89957.3a, Department of Oncology, Sir Run Run Hospital, , Nanjing Medical University, ; Nanjing, China
                [13 ]GRID grid.412595.e, Department of Oncology, , First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, ; Guangzhou, China
                Author information
                http://orcid.org/0000-0002-1491-7667
                Article
                4199
                10.1186/s12885-018-4199-7
                5865353
                29566644
                90a61574-51ea-4e77-88f7-dae1803be4b7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 November 2017
                : 8 March 2018
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Oncology & Radiotherapy
                next-generation sequencing,precision medicine,capture-base sequencing,ctdna,lung cancer,uc-seq,short ctdna,blood tumor mutational burden

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