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      The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review

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          Abstract

          Background

          The presence of circulating cell-free DNA from tumours in blood (ctDNA) is of major importance to those interested in early cancer detection, as well as to those wishing to monitor tumour progression or diagnose the presence of activating mutations to guide treatment. In 2014, the UK Early Cancer Detection Consortium undertook a systematic mapping review of the literature to identify blood-based biomarkers with potential for the development of a non-invasive blood test for cancer screening, and which identified this as a major area of interest. This review builds on the mapping review to expand the ctDNA dataset to examine the best options for the detection of multiple cancer types.

          Methods

          The original mapping review was based on comprehensive searches of the electronic databases Medline, Embase, CINAHL, the Cochrane library, and Biosis to obtain relevant literature on blood-based biomarkers for cancer detection in humans (PROSPERO no. CRD42014010827). The abstracts for each paper were reviewed to determine whether validation data were reported, and then examined in full. Publications concentrating on monitoring of disease burden or mutations were excluded.

          Results

          The search identified 94 ctDNA studies meeting the criteria for review. All but 5 studies examined one cancer type, with breast, colorectal and lung cancers representing 60% of studies. The size and design of the studies varied widely. Controls were included in 77% of publications. The largest study included 640 patients, but the median study size was 65 cases and 35 controls, and the bulk of studies (71%) included less than 100 patients. Studies either estimated cfDNA levels non-specifically or tested for cancer-specific mutations or methylation changes (the majority using PCR-based methods).

          Conclusion

          We have systematically reviewed ctDNA blood biomarkers for the early detection of cancer. Pre-analytical, analytical, and post-analytical considerations were identified which need to be addressed before such biomarkers enter clinical practice. The value of small studies with no comparison between methods, or even the inclusion of controls is highly questionable, and larger validation studies will be required before such methods can be considered for early cancer detection.

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          Most cited references128

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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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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              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
                creei@iarc.fr
                l.uttley@sheffield.ac.uk
                h.b.woods@sheffield.ac.uk
                H.Kikuchi@warwick.ac.uk
                annereiman01@gmail.com
                s.harnan@sheffield.ac.uk
                ab5190@coventry.ac.uk
                S.Taylor-Phillips@warwick.ac.uk
                M.P.Messenger@leeds.ac.uk
                a.cox@sheffield.ac.uk
                m.d.teare@sheffield.ac.uk
                OSHEILS@tcd.ie
                js39@leicester.ac.uk
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                23 October 2017
                23 October 2017
                2017
                : 17
                : 697
                Affiliations
                [1 ]ISNI 0000000405980095, GRID grid.17703.32, WHO Classification of Tumours Group, International Agency for Research on Cancer (IARC), World Health Organization, ; 150 Cours Albert Thomas, 69372 Lyon, CEDEX 08 France
                [2 ]ISNI 0000000106754565, GRID grid.8096.7, Faculty of Health and Life Sciences, , Coventry University, ; Priory Street, Coventry, CV1 5FB UK
                [3 ]ISNI 0000000121901201, GRID grid.83440.3b, Institute of Ophthalmology, , University College London, ; EC1V 9EL, London, UK
                [4 ]ISNI 0000 0004 1936 9262, GRID grid.11835.3e, The School of Health and Related Research, , The University of Sheffield, ; Regent Court, 30 Regent Street, Sheffield, S1 4DA UK
                [5 ]GRID grid.15628.38, Department of Pathology, , University Hospitals Coventry and Warwickshire, ; Coventry, CV2 2DX UK
                [6 ]ISNI 0000 0004 0398 9627, GRID grid.416568.8, London North West Healthcare NHS Trust, , Northwick Park Hospital, ; Watford Road, Harrow, HA1 3UJ UK
                [7 ]ISNI 0000 0000 8809 1613, GRID grid.7372.1, Warwick Medical School, , University of Warwick, ; Coventry, CV4 7AL UK
                [8 ]ISNI 0000 0000 9965 1030, GRID grid.415967.8, Leeds Centre for Personalised Medicine and Health, , University of Leeds and NIHR Diagnostic Evidence Co-Operative Leeds, Leeds Teaching Hospitals NHS Trust, ; Leeds, LS9 7TF UK
                [9 ]ISNI 0000 0004 1936 9262, GRID grid.11835.3e, Sheffield Institute for Nucleic Acids, Department of Oncology and Metabolism, , The University of Sheffield, Medical School, ; Beech Hill Road, Sheffield, S10 2RX UK
                [10 ]ISNI 0000 0004 0617 8280, GRID grid.416409.e, Sir Patrick Dun Research Laboratory, Central Pathology Laboratory, , St James’s Hospital & Trinity College Dublin, ; Dublin 8, Ireland
                [11 ]University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, LE2 7LX UK
                Article
                3693
                10.1186/s12885-017-3693-7
                5654013
                29061138
                27e4c9f4-0717-488a-af97-f29962fd2061
                © The Author(s). 2017

                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
                : 8 March 2017
                : 18 October 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000289, Cancer Research UK;
                Award ID: C50028/A18554
                Award Recipient :
                Funded by: PinPoint Cancer Ltd
                Award ID: NA
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Oncology & Radiotherapy
                cfdna,ctdna,cancer,detection,diagnosis,liquid biopsy
                Oncology & Radiotherapy
                cfdna, ctdna, cancer, detection, diagnosis, liquid biopsy

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