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)
Cell Metabolism 2017-Oct

Acetyl-CoA Carboxylase 1-Dependent Protein Acetylation Controls Breast Cancer Metastasis and Recurrence.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Marcos Rios Garcia
Brigitte Steinbauer
Kshitij Srivastava
Mahak Singhal
Frits Mattijssen
Adriano Maida
Sven Christian
Holger Hess-Stumpp
Hellmut G Augustin
Karin Müller-Decker

Parole chiave

Astratto

Breast tumor recurrence and metastasis represent the main causes of cancer-related death in women, and treatments are still lacking. Here, we define the lipogenic enzyme acetyl-CoA carboxylase (ACC) 1 as a key player in breast cancer metastasis. ACC1 phosphorylation was increased in invading cells both in murine and human breast cancer, serving as a point of convergence for leptin and transforming growth factor (TGF) β signaling. ACC1 phosphorylation was mediated by TGFβ-activated kinase (TAK) 1, and ACC1 inhibition was indispensable for the elevation of cellular acetyl-CoA, the subsequent increase in Smad2 transcription factor acetylation and activation, and ultimately epithelial-mesenchymal transition and metastasis induction. ACC1 deficiency worsened tumor recurrence upon primary tumor resection in mice, and ACC1 phosphorylation levels correlated with metastatic potential in breast and lung cancer patients. Given the demonstrated effectiveness of anti-leptin receptor antibody treatment in halting ACC1-dependent tumor invasiveness, our work defines a "metabolocentric" approach in metastatic breast cancer therapy.

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