Phosphorylated-insulin growth factor I receptor (p-IGF1R) and metalloproteinase-3 (MMP3) expression in advanced gastrointestinal stromal tumors (GIST). A GEIS 19 study

Most GISTs have mutations in KIT or PDGFRA. Patients with advanced GIST with KIT exon 9, PDGFRA mutation or WT for KIT and PDGFRA have a worse progression-free survival (PFS) compared to patients with KIT exon 11 mutated tumors. We evaluated the immunohistochemical (IHC) expression of p-IGF1R (Y1316...

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Veröffentlicht in:Clinical sarcoma research 2016-06, Vol.6 (1), p.10-10, Article 10
Hauptverfasser: Maurel, Joan, López-Pousa, Antonio, Calabuig, Silvia, Bagué, Silvia, Del Muro, Xavier Garcia, Sanjuan, Xavier, Rubió-Casadevall, Jordi, Cuatrecasas, Miriam, Martinez-Trufero, Javier, Horndler, Carlos, Fra, Joaquin, Valverde, Claudia, Redondo, Andrés, Poveda, Andrés, Sevilla, Isabel, Lainez, Nuria, Rubini, Michele, García-Albéniz, Xabier, Martín-Broto, Javier, de Alava, Enrique
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Sprache:eng
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Zusammenfassung:Most GISTs have mutations in KIT or PDGFRA. Patients with advanced GIST with KIT exon 9, PDGFRA mutation or WT for KIT and PDGFRA have a worse progression-free survival (PFS) compared to patients with KIT exon 11 mutated tumors. We evaluated the immunohistochemical (IHC) expression of p-IGF1R (Y1316) and MMP3 as predictors of PFS or overall survival (OS). Ninety-two advanced GIST patients included in GEIS-16 study with KIT and PDGFRA mutational information were examined for p-IGF1R (Y1316) and MMP3 expression in a tissue micro-array. To study activation of the IGF1R system, we have used an antibody (anti-pY1316) that specifically recognizes the active phosphorylated form of the IGF1R. DNA was extracted from paraffin-embedded tissues and intronic PCR primers were used to amplify exons 9, 11, 13 and 17 of KIT, 12 and 18 of PDGFRA. Bidirectional sequencing with specific primers was performed on a ABI3100 sequencer using the Big Dye Terminator v3.1 kit. Multivariate model was built using a stepwise automated variable selection approach with criterion to enter the variable in the model of p 
ISSN:2045-3329
2045-3329
DOI:10.1186/s13569-016-0050-6