Italian
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)
American Journal of Hematology 2007-Sep

Predictive value of alkaline phosphatase for response and time to progression in bortezomib-treated multiple myeloma patients.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Maurizio Zangari
Dixie Esseltine
Federica Cavallo
Rachel Neuwirth
Francesca Elice
Michael J Burns
Shmuel Yaccoby
Paul Richardson
Pieter Sonneveld
Guido Tricot

Parole chiave

Astratto

Myeloma bone disease is characterized by osteolytic destruction associated with suppressed osteoblastic activity. Using data from the APEX (Richardson et al., N Engl J Med 2005;352:2487-2498) study, we have assessed the relationship of changes in alkaline phosphatase (ALP) levels during bortezomib therapy with response and time to progression on this therapy. The percentage of ALP increments in responders (complete and partial response) and nonresponders was analyzed at different thresholds and time points. For all bortezomib-treated patients enrolled in the trial (N = 333), at least a 25% increase in ALP from the baseline at 6 week was the most powerful predictor of treatment response (P < 0.0001) and time to progression (206 vs. 169 days) relative to patients with less than a 25% increase in ALP (P = 0.01). Markers of osteoblastic activation may predict quality and duration of response in multiple myeloma. In addition, our data suggest that bone anabolism could inhibit myeloma growth.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge