Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis

Oncotarget. 2024 Feb 5;15:91-103. doi: 10.18632/oncotarget.28512.ABSTRACTAbout 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.PMID:38329726 | PMC:PMC10852064 | DOI:10.18632/oncotarget.28512

Source: Oncotarget - February 8, 2024 Category: Cancer & Oncology Authors: P A Shatalov N A Falaleeva E A Bykova D O Korostin V A Belova A A Zabolotneva A P Shinkarkina A Yu Gorbachev M B Potievskiy V S Surkova Zh V Khailova N A Kulemin Denis Baranovskii A A Kostin A D Kaprin P V Shegai Source Type: research