Comprehensive Genomic Profiling in Predictive Testing of Cancer
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作者:
Svoboda, Michal
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Comenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, SlovakiaComenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
Svoboda, Michal
[1
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Behulova, Regina Lohajova
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St Elizabeth Canc Inst, Dept Med Genet, Bratislava, Slovakia
Slovak Med Univ, Inst Genet & Mol Med, Fac Med, Bratislava, SlovakiaComenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
Behulova, Regina Lohajova
[2
,3
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Slamka, Tomas
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机构:
St Elizabeth Canc Inst, Dept Med Genet, Bratislava, SlovakiaComenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
Slamka, Tomas
[2
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Sebest, Lukas
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St Elizabeth Canc Inst, Dept Med Genet, Bratislava, SlovakiaComenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
Sebest, Lukas
[2
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Repiska, Vanda
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Comenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, SlovakiaComenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
Repiska, Vanda
[1
]
机构:
[1] Comenius Univ, Fac Med, Inst Med Biol Genet & Clin Genet, Bratislava, Slovakia
[2] St Elizabeth Canc Inst, Dept Med Genet, Bratislava, Slovakia
[3] Slovak Med Univ, Inst Genet & Mol Med, Fac Med, Bratislava, Slovakia
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.