Genomic profiling in GIST: Implications in clinical outcome and future challenges

Autor: German Calderillo-Ruíz, Eloy Andrés Pérez-Yepez, María Alejandra García-Gámez, Oliver Millan-Catalan, Consuelo Díaz-Romero, Paul Ugalde-Silva, Rodrigo Salas-Benavides, Carlos Pérez-Plasencia, Berenice Carbajal-López
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Neoplasia: An International Journal for Oncology Research, Vol 48, Iss , Pp 100959- (2024)
Druh dokumentu: article
ISSN: 1476-5586
DOI: 10.1016/j.neo.2023.100959
Popis: Gastrointestinal Stromal Tumors (GIST) are the most frequent mesenchymal neoplasia of the digestive tract. Genomic alterations in KIT, PDFGRA, SDH, and BRAF genes are essential in GIST oncogenesis. Therefore, the mutations in these genes have demonstrated clinical implications. Tumors with deletions in KIT-exon 11 or duplications in exon 9 are associated with a worse prognosis. In contrast, KIT-exon 11 substitutions and duplications are associated with a better clinical outcome. Moreover, mutations in Kit exon 9 and 11 are actionable, due to their response to imatinib, while mutations in PDGFRA respond to sunitinib and/or avapritinib. Although, molecular testing on tissue samples is effective; it is invasive, requires adequate amounts of tissue, and a long experimental process is needed for results. In contrast, liquid biopsy has been proposed as a simple and non-invasive method to test biomarkers in cancer. The most common molecule analyzed by liquid biopsy is circulating tumor DNA (ctDNA). GISTs ctDNA testing has been demonstrated to be effective in identifying known and novel KIT mutations that were not detected using traditional tissue DNA testing and have been useful in determining progression risk and response to TKI therapy. This allows the clinician to have an accurate picture of the genetic changes of the tumor over time. In this work, we aimed to discuss the implications of mutational testing in clinical outcomes, the methods to test ctDNA and the future challenges in the establishment of alternatives of personalized medicine.
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