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

Autor: Shatalov PA; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Falaleeva NA; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Bykova EA; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Korostin DO; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia., Belova VA; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia., Zabolotneva AA; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia., Shinkarkina AP; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Gorbachev AY; FSBI 'Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine' FMBA, Moscow 119435, Russia., Potievskiy MB; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Surkova VS; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Khailova ZV; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Kulemin NA; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia., Baranovskii D; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.; Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia., Kostin AA; Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia., Kaprin AD; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.; Peoples Friendship University of Russia (RUDN University), Moscow 117198, Russia., Shegai PV; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
Jazyk: angličtina
Zdroj: Oncotarget [Oncotarget] 2024 Feb 05; Vol. 15, pp. 91-103. Date of Electronic Publication: 2024 Feb 05.
DOI: 10.18632/oncotarget.28512
Abstrakt: 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.
Databáze: MEDLINE
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