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Comprehensive genomic profiling in predictive testing of cancer
Michal Svoboda, Regina Lohajova Behulova, Tomas Slamka, Lukas Sebest, Vanda Repiska
Jazyk angličtina Země Česko
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 1991
Free Medical Journals
od 1998
PubMed Central
od 2020
ProQuest Central
od 2005-01-01
Medline Complete (EBSCOhost)
od 2006-01-01
Nursing & Allied Health Database (ProQuest)
od 2005-01-01
Health & Medicine (ProQuest)
od 2005-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1998
- MeSH
- genomika MeSH
- individualizovaná medicína MeSH
- lidé MeSH
- nádory * diagnóza genetika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Despite the rapid progress in the field of personalized medicine and the efforts to apply specific treatment strategies to patients based on the presence of pathogenic variants in one, two, or three genes, patient response to the treatment in terms of positive benefit and overall survival remains heterogeneous. However, advances in sequencing and bioinformatics technologies have facilitated the simultaneous examination of somatic variants in tens to thousands of genes in tumor tissue, enabling the determination of personalized management based on the patient's comprehensive genomic profile (CGP). CGP has the potential to enhance clinical decision-making and personalize innovative treatments for individual patients, by providing oncologists with a more comprehensive molecular characterization of tumors. This study aimed to highlight the utility of CGP in routine clinical practice. Here we present three patient cases with various advanced cancer indicated for CGP analysis using a combination of SOPHiA Solid Tumor Solution (STS, 42 genes) for DNA and SOPHiA RNAtarget Oncology Solution (ROS, 45 genes and 17 gene fusions with any random partners) for RNA. We were able to identify actionable genomic alterations in all three cases, thereby presenting valuable information for future management of these patients. This approach has the potential to transform clinical practice and greatly improve patient outcomes in the field of oncology.
Citace poskytuje Crossref.org
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