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001-es BibID:	BIBFORM092558
035-os BibID:	(cikkazonosító)1407 (WoS)000634343500001 (Scopus)85102714615
Első szerző:	Bukva Mátyás
Cím:	Raman Spectral Signatures of Serum-Derived Extracellular Vesicle-Enriched Isolates May Support the Diagnosis of CNS Tumors / Matyas Bukva, Gabriella Dobra, Juan Gomez-Perez, Krisztian Koos, Maria Harmati, Edina Gyukity-Sebestyen, Tamas Biro, Adrienn Jenei, Sandor Kormondi, Peter Horvath, Zoltan Konya, Almos Klekner, Krisztina Buzas
Dátum:	2021
ISSN:	2072-6694
Megjegyzések:	Investigating the molecular composition of small extracellular vesicles (sEVs) for tumor diagnostic purposes is becoming increasingly popular, especially for diseases for which diagnosis is challenging, such as central nervous system (CNS) malignancies. Thorough examination of the molecular content of sEVs by Raman spectroscopy is a promising but hitherto barely explored approach for these tumor types. We attempt to reveal the potential role of serum-derived sEVs in diagnosing CNS tumors through Raman spectroscopic analyses using a relevant number of clinical samples. A total of 138 serum samples were obtained from four patient groups (glioblastoma multiforme, non-small-cell lung cancer brain metastasis, meningioma and lumbar disc herniation as control). After isolation, characterization and Raman spectroscopic assessment of sEVs, the Principal Component Analysis?Support Vector Machine (PCA?SVM) algorithm was performed on the Raman spectra for pairwise classifications. Classification accuracy (CA), sensitivity, specificity and the Area Under the Curve (AUC) value derived from Receiver Operating Characteristic (ROC) analyses were used to evaluate the performance of classification. The groups compared were distinguishable with 82.9?92.5% CA, 80?95% sensitivity and 80?90% specificity. AUC scores in the range of 0.82?0.9 suggest excellent and outstanding classification performance. Our results support that Raman spectroscopic analysis of sEV-enriched isolates from serum is a promising method that could be further developed in order to be applicable in the diagnosis of CNS tumors.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Cancers. - 13 : 6 (2021), p. 1407-1426. -
További szerzők:	Dobra Gabriella Gomez-Perez, Juan Koós Krisztián Harmati Mária Gyukity-Sebestyén Edina Bíró Tamás (1968-) (élettanász) Jenei Adrienn (1978-) (biológus, kémikus) Kormondi Sándor Horváth Péter Kónya Zoltán (Szeged) Klekner Álmos (1970-) (idegsebész) Buzás Krisztina
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM087288
035-os BibID:	(cikkazonosító)5359 (scopus)85088886100 (wos)000559164300001
Első szerző:	Dobra Gabriella
Cím:	Small Extracellular Vesicles Isolated from Serum May Serve as Signal-Enhancers for the Monitoring of CNS Tumors / Gabriella Dobra, Matyas Bukva, Zoltan Szabo, Bella Bruszel, Maria Harmati, Edina Gyukity-Sebestyen, Adrienn Jenei, Monika Szucs, Peter Horvath, Tamas Biro, Almos Klekner, Krisztina Buzas
Dátum:	2020
ISSN:	1661-6596 1422-0067
Megjegyzések:	Liquid biopsy-based methods to test biomarkers (e.g., serum proteins and extracellular vesicles) may help to monitor brain tumors. In this proteomics-based study, we aimed to identify a characteristic protein fingerprint associated with central nervous system (CNS) tumors. Overall, 96 human serum samples were obtained from four patient groups, namely glioblastoma multiforme (GBM), non-small-cell lung cancer brain metastasis (BM), meningioma (M) and lumbar disc hernia patients (CTRL). After the isolation and characterization of small extracellular vesicles (sEVs) by nanoparticle tracking analysis (NTA) and atomic force microscopy (AFM), liquid chromatography -mass spectrometry (LC-MS) was performed on two different sample types (whole serum and serum sEVs). Statistical analyses (ratio, Cohen's d, receiver operating characteristic; ROC) were carried out to compare patient groups. To recognize differences between the two sample types, pairwise comparisons (Welch's test) and ingenuity pathway analysis (IPA) were performed. According to our knowledge, this is the first study that compares the proteome of whole serum and serum-derived sEVs. From the 311 proteins identified, 10 whole serum proteins and 17 sEV proteins showed the highest intergroup differences. Sixty-five proteins were significantly enriched in sEV samples, while 129 proteins were significantly depleted compared to whole serum. Based on principal component analysis (PCA) analyses, sEVs are more suitable to discriminate between the patient groups. Our results support that sEVs have greater potential to monitor CNS tumors, than whole serum
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	International Journal Of Molecular Sciences. - 21 : 15 (2020), p. 1-20. -
További szerzők:	Bukva Mátyás Szabó Zoltán (orvos, Szeged) Bruszel Bella Harmati Mária Gyukity-Sebestyén Edina Jenei Adrienn (1978-) (biológus, kémikus) Szűcs Mónika Horváth Péter Bíró Tamás (1968-) (élettanász) Klekner Álmos (1970-) (idegsebész) Buzás Krisztina
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