000151172 001__ 151172
000151172 005__ 20250227101504.0
000151172 0247_ $$2doi$$a10.3390/ijms22126501
000151172 0248_ $$2sideral$$a125278
000151172 037__ $$aART-2021-125278
000151172 041__ $$aeng
000151172 100__ $$aMorcuende-Ventura, Violeta
000151172 245__ $$aFluorescence Liquid Biopsy for Cancer Detection Is Improved by Using Cationic Dendronized Hyperbranched Polymer
000151172 260__ $$c2021
000151172 5060_ $$aAccess copy available to the general public$$fUnrestricted
000151172 5203_ $$a(1) Background: Biophysical techniques applied to serum samples characterization could promote the development of new diagnostic tools. Fluorescence spectroscopy has been previously applied to biological samples from cancer patients and differences from healthy individuals were observed. Dendronized hyperbranched polymers (DHP) based on bis(hydroxymethyl)propionic acid (bis-MPA) were developed in our group and their potential biomedical applications explored. (2) Methods: A total of 94 serum samples from diagnosed cancer patients and healthy individuals were studied (20 pancreatic ductal adenocarcinoma, 25 blood donor, 24 ovarian cancer, and 25 benign ovarian cyst samples). (3) Results: Fluorescence spectra of serum samples (fluorescence liquid biopsy, FLB) in the presence and the absence of DHP-bMPA were recorded and two parameters from the signal curves obtained. A secondary parameter, the fluorescence spectrum score (FSscore), was calculated, and the diagnostic model assessed. For pancreatic ductal adenocarcinoma (PDAC) and ovarian cancer, the classification performance was improved when including DHP-bMPA, achieving high values of statistical sensitivity and specificity (over 85% for both pathologies). (4) Conclusions: We have applied FLB as a quick, simple, and minimally invasive promising technique in cancer diagnosis. The classification performance of the diagnostic method was further improved by using DHP-bMPA, which interacted differentially with serum samples from healthy and diseased subjects. These preliminary results set the basis for a larger study and move FLB closer to its clinical application, providing useful information for the oncologist during patient diagnosis.
000151172 536__ $$9info:eu-repo/grantAgreement/ES/DGA/B25-17R$$9info:eu-repo/grantAgreement/ES/DGA/E45-17R$$9info:eu-repo/grantAgreement/ES/DGA/E47-20R$$9info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI15-00663-Investing in your future$$9info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI18-00349-Investing in your future$$9info:eu-repo/grantAgreement/ES/ISCIII-FIS/FI19-00146$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/BFU2016-78232-P
000151172 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000151172 590__ $$a6.208$$b2021
000151172 591__ $$aBIOCHEMISTRY & MOLECULAR BIOLOGY$$b69 / 297 = 0.232$$c2021$$dQ1$$eT1
000151172 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b50 / 179 = 0.279$$c2021$$dQ2$$eT1
000151172 592__ $$a1.176$$b2021
000151172 593__ $$aComputer Science Applications$$c2021$$dQ1
000151172 593__ $$aInorganic Chemistry$$c2021$$dQ1
000151172 593__ $$aSpectroscopy$$c2021$$dQ1
000151172 593__ $$aOrganic Chemistry$$c2021$$dQ1
000151172 593__ $$aPhysical and Theoretical Chemistry$$c2021$$dQ1
000151172 593__ $$aMolecular Biology$$c2021$$dQ1
000151172 594__ $$a6.9$$b2021
000151172 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000151172 700__ $$aHermoso-Durán, Sonia
000151172 700__ $$0(orcid)0000-0001-5664-1729$$aAbian-Franco, Natalia$$uUniversidad de Zaragoza
000151172 700__ $$0(orcid)0000-0002-8026-7391$$aPazo-Cid, Roberto$$uUniversidad de Zaragoza
000151172 700__ $$0(orcid)0000-0003-0853-2880$$aOjeda, Jorge L.$$uUniversidad de Zaragoza
000151172 700__ $$0(orcid)0000-0002-1232-6310$$aVega, Sonia
000151172 700__ $$aSanchez-Gracia, Oscar
000151172 700__ $$0(orcid)0000-0001-5702-4538$$aVelazquez-Campoy, Adrian$$uUniversidad de Zaragoza
000151172 700__ $$0(orcid)0000-0001-7091-077X$$aSierra, Teresa
000151172 700__ $$aAbian, Olga
000151172 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000151172 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000151172 7102_ $$11002$$2060$$aUniversidad de Zaragoza$$bDpto. Bioq.Biolog.Mol. Celular$$cÁrea Bioquímica y Biolog.Mole.
000151172 773__ $$g22, 12 (2021), 6501 [22 pp.]$$pInt. j. mol. sci.$$tInternational Journal of Molecular Sciences$$x1661-6596
000151172 8564_ $$s541112$$uhttps://zaguan.unizar.es/record/151172/files/texto_completo.pdf$$yVersión publicada
000151172 8564_ $$s2729619$$uhttps://zaguan.unizar.es/record/151172/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000151172 909CO $$ooai:zaguan.unizar.es:151172$$particulos$$pdriver
000151172 951__ $$a2025-02-27-09:26:55
000151172 980__ $$aARTICLE