RESUMO
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.
Assuntos
Neoplasias , Humanos , Neoplasias/diagnóstico , Neoplasias/genética , Genômica , Medicina de PrecisãoRESUMO
One of the most common chromosomal breakpoint regions in acute myeloid leukaemia is the chromosome band 11q23. The analysis of this region led to the discovery of the extremely promiscuous MLL gene, in which more than 60 MLL translocation partner genes have been described. Among the most frequent are t(9;11)(p21-22;q23)/MLL-AF9, t(10; 11)(p13; q23)/MLL-AF10, t(11;19)(q23;p13)/MLL-ELL, ENL and t(6;11)(q27;q23)/MLL-AF6. The presented work provides an overview of the molecular mechanisms by means of which MLL proto-oncogene can be converted into oncogene. Genetic alternations of the MLL Proto-Oncogene Protein besides translocation are also represented by complex chromosomal rearrangements, deletions, insertions, partial tandem duplications, amplifications and gains. These genetic alterations are described in the work from the diagnostic and prognostic point of view. Abnormalities of the MLL ProtoOncogene Protein are usually connected with bad prognosis. For that reason, in oncological practice, particular attention is paid to introducing new genetic methods for their identification. The above work gives well arranged information about different types of genetic tests and their outcomes, which can help oncologists in predicting the prognosis, in minimal residual disease monitoring and in modifying oncological patient treatment.
