Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis.
Oncotarget
; 15: 91-103, 2024 Feb 05.
Article
em En
| MEDLINE
| ID: mdl-38329726
ABSTRACT
About 7% of all cancer deaths are caused by pancreatic cancer (PCa). PCa is known for its lowest survival rates among all oncological diseases and heterogenic molecular profile. Enormous amount of genetic changes, including somatic mutations, exceeds the limits of routine clinical genetic laboratory tests and further stagnates the development of personalized treatments. We aimed to build a mutational landscape of PCa in the Russian population based on full exome next-generation sequencing (NGS) of the limited group of patients. Applying a machine learning model on full exome individual data we received personalized recommendations for targeted treatment options for each clinical case and summarized them in the unique therapeutic landscape.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Pancreáticas
/
Adenocarcinoma
Tipo de estudo:
Guideline
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article