PURPOSE: The MUNICON trial confirmed prospectively the usefulness of early response evaluation by 2-deoxy-2-[F-18]fluoro-D-glucose-positron emission tomography (FDG-PET) . Metabolic responders (R) showed initially a higher FDG uptake compared with nonresponders (p = 0.018). An association of the vascular endothelial growth factor (VEGF) 936C>T polymorphism and FDG uptake was reported for breast cancer. Therefore, we investigated the VEGF 936C>T polymorphism for an association with response and survival. PROCEDURES: The study was based on 110 patients included in the MUNCON trial (103 male, seven female; 75 AEG I, 35 AEG II, event-free survival (EFS) median 21.1 ± 4.6 months). Response was significantly associated with EFS. The VEGF 936C>T polymorphism was determined by PCR and restriction fragment length polymorphism analysis. For analysis, the T-variants were combined. RESULTS: One hundred two patients were evaluable. Seventy-two patients showed the CC, 24 the CT, and six the TT genotype. Median EFS was 29.3 months for CC and 11.7 months for CT/TT (p = 0.04). No association of the genotypes (CC or CT/TT) with the SUV or response was found. Multivariate analysis revealed histopathological regression (p = 0.003) and genotype (p = 0.04) as independent prognostic factors. A combination of genotype and PET response (Gen-PET) defines three prognostic groups early in the course of treatment (p = 0.002). Cox regression analysis including clinical and histopathological response and Gen-PET reveals Gen-PET as independent prognostic factor (p = 0.003). CONCLUSION: The VEGF 936C>T polymorphism is a prognostic factor in patients undergoing neoadjuvant chemotherapy, although it is not associated with FDG uptake and response. The combination of metabolic response and VEGF 936C>T polymorphism defines three different prognostic groups. These findings need to be confirmed prospectively. This study has been registered in the European Clinical Trials Database as trial 2007-003356-11.
PURPOSE: The MUNICON trial confirmed prospectively the usefulness of early response evaluation by 2-deoxy-2-[F-18]fluoro-D-glucose-positron emission tomography (FDG-PET) . Metabolic responders (R) showed initially a higher FDG uptake compared with nonresponders (p = 0.018). An association of the vascular endothelial growth factor (VEGF) 936C>T polymorphism and FDG uptake was reported for breast cancer. Therefore, we investigated the VEGF 936C>T polymorphism for an association with response and survival. PROCEDURES: The study was based on 110 patients included in the MUNCON trial (103 male, seven female; 75 AEG I, 35 AEG II, event-free survival (EFS) median 21.1 ± 4.6 months). Response was significantly associated with EFS. The VEGF 936C>T polymorphism was determined by PCR and restriction fragment length polymorphism analysis. For analysis, the T-variants were combined. RESULTS: One hundred two patients were evaluable. Seventy-two patients showed the CC, 24 the CT, and six the TT genotype. Median EFS was 29.3 months for CC and 11.7 months for CT/TT (p = 0.04). No association of the genotypes (CC or CT/TT) with the SUV or response was found. Multivariate analysis revealed histopathological regression (p = 0.003) and genotype (p = 0.04) as independent prognostic factors. A combination of genotype and PET response (Gen-PET) defines three prognostic groups early in the course of treatment (p = 0.002). Cox regression analysis including clinical and histopathological response and Gen-PET reveals Gen-PET as independent prognostic factor (p = 0.003). CONCLUSION: The VEGF 936C>T polymorphism is a prognostic factor in patients undergoing neoadjuvant chemotherapy, although it is not associated with FDG uptake and response. The combination of metabolic response and VEGF 936C>T polymorphism defines three different prognostic groups. These findings need to be confirmed prospectively. This study has been registered in the European Clinical Trials Database as trial 2007-003356-11.
Authors: Marinke Westerterp; Henderik L van Westreenen; Johannes B Reitsma; Otto S Hoekstra; Jaap Stoker; Paul Fockens; Pieter L Jager; Berthe L F Van Eck-Smit; John T M Plukker; J Jan B van Lanschot; Gerrit W Sloof Journal: Radiology Date: 2005-09 Impact factor: 11.105
Authors: Joerg R Siewert; Florian Lordick; Katja Ott; Hubert J Stein; Wolfgang A Weber; Karen Becker; Christian Peschel; Ulrich Fink; Markus Schwaiger Journal: Ann Surg Date: 2007-10 Impact factor: 12.969
Authors: C Yapijakis; E Vairaktaris; S Vassiliou; A Vylliotis; E Nkenke; A M Nixon; S Derka; S Spyridonidou; E Vorris; F Neukam; E Patsouris Journal: J Cancer Res Clin Oncol Date: 2007-06-13 Impact factor: 4.553
Authors: G Lurje; W Zhang; A M Schultheis; D Yang; S Groshen; A E Hendifar; H Husain; M A Gordon; F Nagashima; H M Chang; H-J Lenz Journal: Ann Oncol Date: 2008-06-11 Impact factor: 32.976
Authors: Valentina Bravatà; Alessandro Stefano; Francesco P Cammarata; Luigi Minafra; Giorgio Russo; Stefania Nicolosi; Sabina Pulizzi; Cecilia Gelfi; Maria C Gilardi; Cristina Messa Journal: J Exp Clin Cancer Res Date: 2013-04-30
Authors: Susanne Blank; Phillip Knebel; Georg-Martin Haag; Thomas Bruckner; Ulla Klaiber; Maria Burian; Anja Schaible; Leila Sisic; Thomas Schmidt; Markus K Diener; Katja Ott Journal: Pilot Feasibility Stud Date: 2016-04-04