TP53/BRAF mutation as an aid in predicting response to immune-checkpoint inhibitor across multiple cancer types.
Aging (Albany NY)
; 14(6): 2868-2879, 2022 03 27.
Article
en En
| MEDLINE
| ID: mdl-35344507
ABSTRACT
Immunotherapy with checkpoint inhibitors, such as PD-1/PD-L1 blockage, is becoming standard of practice for an increasing number of cancer types. However, the response rate is only 10%-40%. Thus, identifying biomarkers that could accurately predict the ICI-therapy response is critically important. We downloaded somatic mutation data for 46,697 patients and tumor-infiltrating immune cells levels data for 11070 patients, then combined TP53 and BRAF mutation status into a biomarker model and found that the predict ability of TP53/BRAF mutation model is more powerful than some past models. Commonly, patients with high-TMB status have better response to ICI therapy than patients with low-TMB status. However, the genotype of TP53MUTBRAFWT in high-TMB status cohort have poorer response to ICI therapy than the genotype of BRAFMUTTP53WT in low-TMB status (Median, 18 months vs 47 month). Thus, TP53/BRAF mutation model can add predictive value to TMB in identifying patients who benefited from ICI treatment, which can enable more informed treatment decisions.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Proteína p53 Supresora de Tumor
/
Proteínas Proto-Oncogénicas B-raf
/
Inhibidores de Puntos de Control Inmunológico
/
Neoplasias
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Aging (Albany NY)
Asunto de la revista:
GERIATRIA
Año:
2022
Tipo del documento:
Article
País de afiliación:
China