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Liquid Biopsy for Pancreatic Cancer Detection Using Infrared Spectroscopy.
Sala, Alexandra; Cameron, James M; Jenkins, Cerys A; Barr, Hugh; Christie, Loren; Conn, Justin J A; Evans, Thomas R Jeffry; Harris, Dean A; Palmer, David S; Rinaldi, Christopher; Theakstone, Ashton G; Baker, Matthew J.
Afiliación
  • Sala A; Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK.
  • Cameron JM; Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.
  • Jenkins CA; Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.
  • Barr H; Swansea University Medical School, Swansea University, Swansea SA2 8PP, UK.
  • Christie L; Gloucestershire Hospitals NHS Foundation Trust, Gloucester GL1 2EL, UK.
  • Conn JJA; Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK.
  • Evans TRJ; Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.
  • Harris DA; Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.
  • Palmer DS; Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1BD, UK.
  • Rinaldi C; Singleton Hospital, Swansea Bay University Local Health Board, Swansea SA2 8QA, UK.
  • Theakstone AG; Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, Glasgow G1 1XL, UK.
  • Baker MJ; Dxcover Limited, Royal College Building, Glasgow G1 1XW, UK.
Cancers (Basel) ; 14(13)2022 Jun 21.
Article en En | MEDLINE | ID: mdl-35804820
Pancreatic cancer claims over 460,000 victims per year. The carbohydrate antigen (CA) 19-9 test is the blood test used for pancreatic cancer's detection; however, its levels can be raised in symptomatic patients with other non-malignant diseases, or with other tumors in the surrounding area. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy has demonstrated exceptional potential in cancer diagnostics, and its clinical implementation could represent a significant step towards early detection. This proof-of-concept study, investigating the use of ATR-FTIR spectroscopy on dried blood serum, focused on the discrimination of both cancer versus healthy control samples, and cancer versus symptomatic non-malignant control samples, as a novel liquid biopsy approach for pancreatic cancer diagnosis. Machine learning algorithms were applied, achieving results of up to 92% sensitivity and 88% specificity when discriminating between cancers (n = 100) and healthy controls (n = 100). An area under the curve (AUC) of 0.95 was obtained through receiver operating characteristic (ROC) analysis. Balanced sensitivity and specificity over 75%, with an AUC of 0.83, were achieved with cancers (n = 35) versus symptomatic controls (n = 35). Herein, we present these results as demonstration that our liquid biopsy approach could become a simple, minimally invasive, and reliable diagnostic test for pancreatic cancer detection.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article