Catalan
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Acta Neuropathologica 2005-Jul

Clinical, histological, and immunohistochemical features predicting 1p/19q loss of heterozygosity in oligodendroglial tumors.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Se Hoon Kim
Hoguen Kim
Tai Seung Kim

Paraules clau

Resum

To identify a better diagnostic criteria for oligodendroglial tumors, we investigated the clinical, histological, and immunohistochemical features that would be able to predict a 1p/19q loss of heterozygosity (LOH) in these tumors. We performed a PCR-based LOH test with the 1p and 19q microsatellite markers by microdissecting tumor in 56 samples (44 oligodendrogliomas and 12 mixed oligoastrocytomas) of paraffin-embedded tissue. Patients with oligodendroglial tumors with 1p/19q LOH had a statistically significant better prognosis for overall survival. Comparative analysis of several features indicated that the 1p/19q LOH tumors were associated with two histological features, "tumor cellularity" and "perinuclear halo," and low O(6)-methylguanine-DNA-methyltransferase (MGMT) expression and high cytoplasmic glutathione S-transferase pi (GST-pi) expression. In addition, the incidence of 1p/19q LOH was infrequent in the youngest age category (less than 20 years old) studied. Using the new features, we could predict the 1p/19q status of oligodendroglial tumors with greater than 90% accuracy. Therefore, applying these features in clinical practice, would be helpful in clarifying oligodendroglial tumor diagnosis.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge