Unknown

Dataset Information

0

Personalized Medicine in Gastrointestinal Stromal Tumor (GIST): Clinical Implications of the Somatic and Germline DNA Analysis.


ABSTRACT: Gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors of the gastrointestinal tract. They are characterized by gain of function mutations in KIT or PDGFRA tyrosine kinase receptors, with their consequent constitutive activation. The gold standard therapy is imatinib that offers a good and stable response for approximately 18-36 months. However, resistance is very common and it is vital to identify new biomarkers. Up until now, there have been two main approaches with focus to characterize novel targets. On the one hand, the focus is on the tumor genome, as the final clinical outcome depends mainly from the cancer specific mutations/alterations patterns. However, the germline DNA is important as well, and it is inconceivable to think the patients response to the drug is not related to it. Therefore the aim of this review is to outline the state of the art of the personalized medicine in GIST taking into account both the tumor DNA (somatic) and the patient DNA (germline).

SUBMITTER: Ravegnini G 

PROVIDER: S-EPMC4519915 | biostudies-other | 2015

REPOSITORIES: biostudies-other

altmetric image

Publications

Personalized Medicine in Gastrointestinal Stromal Tumor (GIST): Clinical Implications of the Somatic and Germline DNA Analysis.

Ravegnini Gloria G   Nannini Margherita M   Sammarini Giulia G   Astolfi Annalisa A   Biasco Guido G   Pantaleo Maria A MA   Hrelia Patrizia P   Angelini Sabrina S  

International journal of molecular sciences 20150709 7


Gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors of the gastrointestinal tract. They are characterized by gain of function mutations in KIT or PDGFRA tyrosine kinase receptors, with their consequent constitutive activation. The gold standard therapy is imatinib that offers a good and stable response for approximately 18-36 months. However, resistance is very common and it is vital to identify new biomarkers. Up until now, there have been two main approaches with focu  ...[more]

Similar Datasets

| S-EPMC3859154 | biostudies-other
| S-EPMC3405472 | biostudies-literature
2013-03-01 | GSE36087 | GEO
2013-03-01 | E-GEOD-36087 | biostudies-arrayexpress
| S-EPMC6743131 | biostudies-literature
| S-EPMC2922542 | biostudies-literature
| S-EPMC6463228 | biostudies-literature
| S-EPMC5857138 | biostudies-other
2015-01-08 | GSE64762 | GEO
2010-10-14 | GSE22852 | GEO