Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Más filtros













Base de datos
Intervalo de año de publicación
1.
Cancer Cell ; 42(5): 732-735, 2024 May 13.
Artículo en Inglés | MEDLINE | ID: mdl-38579722

RESUMEN

Saliby et al. show that a machine learning approach can accurately classify clear cell renal cell carcinoma (RCC) into distinct molecular subtypes using transcriptomic data. When applied to tumors biospecimens from the JAVELIN Renal 101 (JR101) trial, a benefit is observed with immune checkpoint inhibitor (ICI)-based therapy across all molecular subtypes.


Asunto(s)
Carcinoma de Células Renales , Inhibidores de Puntos de Control Inmunológico , Inmunoterapia , Neoplasias Renales , Carcinoma de Células Renales/genética , Carcinoma de Células Renales/inmunología , Carcinoma de Células Renales/terapia , Carcinoma de Células Renales/tratamiento farmacológico , Humanos , Neoplasias Renales/inmunología , Neoplasias Renales/genética , Neoplasias Renales/terapia , Neoplasias Renales/tratamiento farmacológico , Inmunoterapia/métodos , Inhibidores de Puntos de Control Inmunológico/uso terapéutico , Inhibidores de Puntos de Control Inmunológico/farmacología , Terapia Molecular Dirigida/métodos , Resultado del Tratamiento , Aprendizaje Automático
2.
bioRxiv ; 2023 Apr 13.
Artículo en Inglés | MEDLINE | ID: mdl-37090652

RESUMEN

Metabolic homeostasis is one of the most exquisitely tuned systems in mammalian physiology. Metabolic homeostasis requires multiple redundant systems to cooperate to maintain blood glucose concentrations in a narrow range, despite a multitude of physiological and pathophysiological pressures. Cancer is one of the canonical pathophysiological settings in which metabolism plays a key role. In this study, we utilized REnal Gluconeogenesis Analytical Leads (REGAL), a liquid chromatography-mass spectrometry/mass spectrometry-based stable isotope tracer method that we developed to show that in conditions of metabolic stress, the fasting hepatokine fibroblast growth factor-21 (FGF-21)1,2 coordinates a liver-brain-kidney axis to promote renal gluconeogenesis. FGF-21 promotes renal gluconeogenesis by enhancing ß2 adrenergic receptor (Adrb2)-driven, adipose triglyceride lipase (ATGL)-mediated intrarenal lipolysis. Further, we show that this liver-brain-kidney axis promotes gluconeogenesis in the renal parenchyma in mice and humans with renal cell carcinoma (RCC). This increased gluconeogenesis is, in turn, associated with accelerated RCC progression. We identify Adrb2 blockade as a new class of therapy for RCC in mice, with confirmatory data in human patients. In summary, these data reveal a new metabolic function of FGF-21 in driving renal gluconeogenesis, and demonstrate that inhibition of renal gluconeogenesis by FGF-21 antagonism deserves attention as a new therapeutic approach to RCC.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA