000162053 001__ 162053
000162053 005__ 20251017144652.0
000162053 0247_ $$2doi$$a10.1021/acs.analchem.5c00974
000162053 0248_ $$2sideral$$a144668
000162053 037__ $$aART-2025-144668
000162053 041__ $$aeng
000162053 100__ $$aMorcuende-Ventura, Violeta
000162053 245__ $$aSerum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning
000162053 260__ $$c2025
000162053 5060_ $$aAccess copy available to the general public$$fUnrestricted
000162053 5203_ $$aEarly detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovarian cancer (OV) is pivotal for successful treatment but remains a significant challenge due to the lack of sensitive and specific diagnostic tests. Fluorescence spectroscopy, enhanced by the interaction of serum proteins with nanoparticles (NPs) based on linear–dendritic block copolymers, has emerged as a promising technique for the noninvasive detection of these malignancies. This study introduces a novel array-based assay methodology to evaluate the diagnostic capabilities of various NPs within serum samples using fluorescence. Methods: We synthesized three types of NPs (1-SH, 2-OH, 3-NH3+) and analyzed their fluorescence spectra in serum samples from patients with PDAC, OV, and control subjects. The samples were excited at 330 and 350 nm wavelengths to obtain their fluorescence emission spectra. An array of machine learning algorithms was applied, including boosting and tree-based methods, to assess the ability of the spectral data to discriminate between pathological and nonpathological states. The algorithms’ performance was measured by the area under the receiver operating characteristic curves (AUC). Results: The fluorescence spectra revealed distinct patterns for PDAC and OV pathologies. 3-NH3+ NPs exhibited the highest differential capacity with AUCs exceeding 80% for PDAC across all algorithms, except one. 2-OH NPs showed a strong discriminatory ability for OV with AUCs over 70%, utilizing all but one of the algorithms. 1-SH NPs, however, did not significantly increase differentiability. Boosting algorithms generally outperformed other methods, indicating their suitability for this diagnostic approach. Conclusions: The proposed assay array methodology enables the systematic evaluation of NPs’ diagnostic potential using fluorescence spectroscopy. The differential interactions between NPs and serum proteins specific to PDAC and OV highlight the method’s capability to discern pathological states. These findings suggest a path forward for developing NP-assisted fluorescence spectroscopy as a viable tool for cancer diagnostics, potentially leading to earlier detection and improved patient outcomes.
000162053 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2021-127296OB-I00$$9info:eu-repo/grantAgreement/ES/DGA/B08-24R$$9info:eu-repo/grantAgreement/ES/DGA/E47-23R$$9info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI18-00349-Investing in your future$$9info:eu-repo/grantAgreement/ES/ISCIII-ERDF-ESF/PI21-00394$$9info:eu-repo/grantAgreement/ES/ISCIII-FIS/FI19-00146$$9info:eu-repo/grantAgreement/ES/MICINN/CEX2023-001286-S$$9info:eu-repo/grantAgreement/ES/MICINN/PID2021-126132NB-I00
000162053 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000162053 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000162053 700__ $$aSánchez-Gracia, Oscar
000162053 700__ $$aAbian-Franco, Natalia
000162053 700__ $$aJiménez-Pardo, Isabel
000162053 700__ $$0(orcid)0000-0002-3576-5156$$aHerrer, Lucía
000162053 700__ $$0(orcid)0000-0003-4333-6498$$aCastillo-Vallés, Martín
000162053 700__ $$0(orcid)0000-0001-6584-6603$$aLancelot, Alexandre
000162053 700__ $$aFalcó-Martí, F. Javier$$uUniversidad de Zaragoza
000162053 700__ $$aHermoso-Durán, Sonia
000162053 700__ $$0(orcid)0000-0002-8026-7391$$aPazo-Cid, Roberto$$uUniversidad de Zaragoza
000162053 700__ $$0(orcid)0000-0001-5932-2889$$aLanas, Ángel$$uUniversidad de Zaragoza
000162053 700__ $$0(orcid)0000-0001-5702-4538$$aVelazquez-Campoy, Adrián$$uUniversidad de Zaragoza
000162053 700__ $$0(orcid)0000-0001-7091-077X$$aSierra, Teresa
000162053 700__ $$0(orcid)0000-0001-5664-1729$$aAbian, Olga$$uUniversidad de Zaragoza
000162053 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000162053 7102_ $$11002$$2060$$aUniversidad de Zaragoza$$bDpto. Bioq.Biolog.Mol. Celular$$cÁrea Bioquímica y Biolog.Mole.
000162053 773__ $$g97 (2025), 11 pp.$$pAnal. chem.$$tANALYTICAL CHEMISTRY$$x0003-2700
000162053 8564_ $$s6681591$$uhttps://zaguan.unizar.es/record/162053/files/texto_completo.pdf$$yVersión publicada
000162053 8564_ $$s2635665$$uhttps://zaguan.unizar.es/record/162053/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000162053 909CO $$ooai:zaguan.unizar.es:162053$$particulos$$pdriver
000162053 951__ $$a2025-10-17-14:36:43
000162053 980__ $$aARTICLE