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Article

Thermal Liquid Biopsy (TLB) Focused on Benign and Premalignant Pancreatic Cyst Diagnosis

1
Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain
2
Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain
3
Servicio de Digestivo, Hospital Clínico Universitario Lozano Blesa (HCULB), 50009 Zaragoza, Spain
4
Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
5
SOTER BioAnalytics, Enrique Val, 50011 Zaragoza, Spain
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Department of Statistical Methods, Universidad de Zaragoza, 50009 Zaragoza, Spain
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Department of Medicine, University of Zaragoza, 50009 Zaragoza, Spain
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Fundación ARAID, Gobierno de Aragón, 50009 Zaragoza, Spain
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Departamento de Bioquímica y Biología Molecular y Celular, Universidad de Zaragoza, 50009 Zaragoza, Spain
10
Instituto Aragonés de Ciencias de la Salud (IACS), 50009 Zaragoza, Spain
*
Authors to whom correspondence should be addressed.
S.H.-D. and G.G.-R. contributed equally to this work and are both first authors of the manuscript.
J. Pers. Med. 2021, 11(1), 25; https://doi.org/10.3390/jpm11010025
Received: 9 December 2020 / Revised: 28 December 2020 / Accepted: 29 December 2020 / Published: 31 December 2020
(This article belongs to the Special Issue Gastrointestinal Cancers and Personalized Medicine)
Background: Current efforts in the identification of new biomarkers are directed towards an accurate differentiation between benign and premalignant cysts. Thermal Liquid Biopsy (TLB) has been previously applied to inflammatory and tumor diseases and could offer an interesting point of view in this type of pathology. Methods: In this work, twenty patients (12 males and 8 females, average ages 62) diagnosed with a pancreatic cyst benign (10) and premalignant (10) cyst lesions were recruited, and biological samples were obtained during the endoscopic ultrasonography procedure. Results: Proteomic content of cyst liquid samples was studied and several common proteins in the different groups were identified. TLB cyst liquid profiles reflected protein content. Also, TLB serum score was able to discriminate between healthy and cysts patients (71% sensitivity and 98% specificity) and between benign and premalignant cysts (75% sensitivity and 67% specificity). Conclusions: TLB analysis of plasmatic serum sample, a quick, simple and non-invasive technique that can be easily implemented, reports valuable information on the observed pancreatic lesion. These preliminary results set the basis for a larger study to refine TLB serum score and move closer to the clinical application of TLB providing useful information to the gastroenterologist during patient diagnosis. View Full-Text
Keywords: pancreatic cysts; thermal liquid biopsy; differential scanning calorimetry; diagnosis; generalized linear models pancreatic cysts; thermal liquid biopsy; differential scanning calorimetry; diagnosis; generalized linear models
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MDPI and ACS Style

Hermoso-Durán, S.; García-Rayado, G.; Ceballos-Laita, L.; Sostres, C.; Vega, S.; Millastre, J.; Sánchez-Gracia, O.; Ojeda, J.L.; Lanas, Á.; Velázquez-Campoy, A.; Abian, O. Thermal Liquid Biopsy (TLB) Focused on Benign and Premalignant Pancreatic Cyst Diagnosis. J. Pers. Med. 2021, 11, 25. https://doi.org/10.3390/jpm11010025

AMA Style

Hermoso-Durán S, García-Rayado G, Ceballos-Laita L, Sostres C, Vega S, Millastre J, Sánchez-Gracia O, Ojeda JL, Lanas Á, Velázquez-Campoy A, Abian O. Thermal Liquid Biopsy (TLB) Focused on Benign and Premalignant Pancreatic Cyst Diagnosis. Journal of Personalized Medicine. 2021; 11(1):25. https://doi.org/10.3390/jpm11010025

Chicago/Turabian Style

Hermoso-Durán, Sonia, Guillermo García-Rayado, Laura Ceballos-Laita, Carlos Sostres, Sonia Vega, Judith Millastre, Oscar Sánchez-Gracia, Jorge L. Ojeda, Ángel Lanas, Adrián Velázquez-Campoy, and Olga Abian. 2021. "Thermal Liquid Biopsy (TLB) Focused on Benign and Premalignant Pancreatic Cyst Diagnosis" Journal of Personalized Medicine 11, no. 1: 25. https://doi.org/10.3390/jpm11010025

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