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. 2023 Oct 27;72(S3):S267-S275.
doi: 10.33549/physiolres.935154.

Comprehensive Genomic Profiling in Predictive Testing of Cancer

Affiliations

Comprehensive Genomic Profiling in Predictive Testing of Cancer

M Svoboda et al. Physiol Res. .

Abstract

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.

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Conflict of interest statement

Conflict of interest

There is no conflict of interest.

Figures

Fig. 1
Fig. 1
Categorization of somatic variants based on their clinical significance. The figure presents an evidence-based categorization of somatic variants according to their clinical significance in cancer diagnosis, prognosis, and therapeutics. The classification system is structured into four tiers, each indicating different levels of clinical importance. Variants in tier I are of the strongest clinical significance, and variants in tier IV are benign or likely benign variants [15].

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