LIVIVO - Das Suchportal für Lebenswissenschaften

switch to English language
Zurück zur letzten Suche Suchhistorie
Erweiterte Suche

Ihre letzten Suchen

  1. AU="Elec, Florin I"
  2. AU="I.S. Carneiro"
  3. AU="Jia, Dongzheng" AU="Jia, Dongzheng"
  4. AU="Hollis-Perry, Monique"
  5. AU="Duman, Duygu"
  6. AU="Abdullahi, Akilu"
  7. AU="Daniela Maymó"

Suchergebnis

Treffer 1 - 2 von insgesamt 2

Suchoptionen

  1. Artikel: Small-cell carcinoma of the urinary bladder: where do we stand?

    Ghervan, Liviu / Zaharie, Andreea / Ene, Bogdan / Elec, Florin I

    Clujul medical (1957)

    2017  Band 90, Heft 1, Seite(n) 13–17

    Abstract: Small-cell carcinoma of the urinary bladder is a very rare pathology, but with a very aggressive behavior and disappointing prognosis. The literature concerning this type of cancer is scarce and physicians may encounter difficulty trying to manage it. ... ...

    Abstract Small-cell carcinoma of the urinary bladder is a very rare pathology, but with a very aggressive behavior and disappointing prognosis. The literature concerning this type of cancer is scarce and physicians may encounter difficulty trying to manage it. Most articles involve the study of case series, without definite results due to the small number of patients. The present article aims at gathering the most significant articles and results in order to offer a broad perspective on the existing literature concerning this pathology.
    Sprache Englisch
    Erscheinungsdatum 2017-01-15
    Erscheinungsland Romania
    Dokumenttyp Journal Article ; Review
    ZDB-ID 419197-3
    ISSN 2066-8872 ; 1222-2119 ; 1224-550X
    ISSN (online) 2066-8872
    ISSN 1222-2119 ; 1224-550X
    DOI 10.15386/cjmed-673
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Köln/Königswinter

    Zs.B 2836: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  2. Artikel: SERS Liquid Biopsy Profiling of Serum for the Diagnosis of Kidney Cancer.

    Moisoiu, Tudor / Iancu, Stefania D / Burghelea, Dan / Dragomir, Mihnea P / Iacob, Gheorghita / Stefancu, Andrei / Cozan, Ramona G / Antal, Oana / Bálint, Zoltán / Muntean, Valentin / Badea, Radu I / Licarete, Emilia / Leopold, Nicolae / Elec, Florin I

    Biomedicines

    2022  Band 10, Heft 2

    Abstract: Renal cancer (RC) represents 3% of all cancers, with a 2% annual increase in incidence worldwide, opening the discussion about the need for screening. However, no established screening tool currently exists for RC. To tackle this issue, we assessed ... ...

    Abstract Renal cancer (RC) represents 3% of all cancers, with a 2% annual increase in incidence worldwide, opening the discussion about the need for screening. However, no established screening tool currently exists for RC. To tackle this issue, we assessed surface-enhanced Raman scattering (SERS) profiling of serum as a liquid biopsy strategy to detect renal cell carcinoma (RCC), the most prevalent histologic subtype of RC. Thus, serum samples were collected from 23 patients with RCC and 27 controls (CTRL) presenting with a benign urological pathology such as lithiasis or benign prostatic hypertrophy. SERS profiling of deproteinized serum yielded SERS band spectra attributed mainly to purine metabolites, which exhibited higher intensities in the RCC group, and Raman bands of carotenoids, which exhibited lower intensities in the RCC group. Principal component analysis (PCA) of the SERS spectra showed a tendency for the unsupervised clustering of the two groups. Next, three machine learning algorithms (random forest, kNN, naïve Bayes) were implemented as supervised classification algorithms for achieving discrimination between the RCC and CTRL groups, yielding an AUC of 0.78 for random forest, 0.78 for kNN, and 0.76 for naïve Bayes (average AUC 0.77 ± 0.01). The present study highlights the potential of SERS liquid biopsy as a diagnostic and screening strategy for RCC. Further studies involving large cohorts and other urologic malignancies as controls are needed to validate the proposed SERS approach.
    Sprache Englisch
    Erscheinungsdatum 2022-01-22
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines10020233
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

Zum Seitenanfang