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dc.contributor.authorChudasama, D
dc.contributor.authorKatopodis, P
dc.contributor.authorStone, N
dc.contributor.authorHaskell, J
dc.contributor.authorSheridan, H
dc.contributor.authorGardner, B
dc.contributor.authorUrnovitz, H
dc.contributor.authorSchuetz, E
dc.contributor.authorBeck, J
dc.contributor.authorHall, M
dc.contributor.authorBarr, J
dc.contributor.authorSisu, C
dc.contributor.authorRice, A
dc.contributor.authorPolychronis, A
dc.contributor.authorAnikin, V
dc.contributor.authorKarteris, E
dc.date.accessioned2021-06-14T07:30:48Z
dc.date.issued2019-03-07
dc.description.abstractBackground: Liquid biopsies offer a promising alternative to tissue samples, providing noninvasive diagnostic approaches or serial monitoring of disease evolution. However, certain challenges remain, and the full potential of liquid biopsies has yet to be reached. Here we report several methodological approaches to interrogate liquid biopsies using circulating tumour cell (CTC) enumeration and characterisation, transcriptomics, Raman spectroscopy, and copy number instability (CNI) scores using blood samples of lung cancer (LC) patients. Methods: We choose LC; since it still is the most common cause of cancer-related mortality worldwide, and therefore there is a need for development of new non-invasive diagnostic/prognostic technologies. Changes in gene expression were assessed using RNA-seq, and in CTCs using ImageStream, an imaging flowcytometer. CNI scores, from paired tissue/ctDNA were also explored. Raman spectroscopy was used to provide chemical fingerprints of plasma samples. Results: CTCs were detected in all LC patients (n = 10). We observed a significant increase in CTC levels in LC patients (n = 10) compared to controls (n = 21). A similar CNI was noted in the tissue and plasma of 2 patients, where higher CNI scores corresponded with poorer outcome. Significant changes in Raman spectra (carotenoid concentrations) were noted in LC patients (n = 20) compared to controls (n = 10). RNA-seq revealed differential expression of 21 genes between LC cases and controls in both LC tissue and blood samples. Conclusions: Liquid biopsies can potentially provide a more comprehensive picture of the disease compared to a single tissue biopsy. CTC enumeration is feasible and sensitive for LC patients. Molecular profiling of CTCs is also possible from total blood. CNI scores and Raman spectra require further investigation. Further work is being undertaken to explore these methods of detection in a larger LC cohort.en_GB
dc.description.sponsorshipCancer Treatment and Research Trust (CTRT), Mount Vernon Hospitalen_GB
dc.identifier.citationVol. 11 (3), article 331en_GB
dc.identifier.doi10.3390/cancers11030331
dc.identifier.grantnumberR33209en_GB
dc.identifier.urihttp://hdl.handle.net/10871/126049
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectliquid biopsiesen_GB
dc.subjectcirculating tumour cellsen_GB
dc.subjectlung canceren_GB
dc.subjectcopy number instabilityen_GB
dc.subjectRaman spectroscopyen_GB
dc.titleLiquid biopsies in lung cancer: Four emerging technologies and potential clinical applicationsen_GB
dc.typeArticleen_GB
dc.date.available2021-06-14T07:30:48Z
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.identifier.eissn2072-6694
dc.identifier.journalCancersen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-02-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-03-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-06-14T07:28:41Z
refterms.versionFCDVoR
refterms.dateFOA2021-06-14T07:31:01Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).