Patients were divided in subgroups according to SNP genotype and a Mann-Whittney statistical test was performed to evaluate the differences in SUVmax and SUVpvc levels. Unfortunately, the genotype sample size for HIF-1a: rs11549467

and EPAS1: rs137853037 and rs137853036 SNPs was MM-102 research buy insufficient to apply a statistical analysis (Table 3). No genotype of the selected SNPs showed any significant association with PET tracer uptake (Table 4). Table 4 Association between genotype and SUVmax and SUVpvc values in BC patients SNP SUVmax SUVmax   SUVpvc SUVpvc   p -values*   p -values* SLC2A1 (rs841853) GG GG 5,771 ± 2,475 0,1882 GG 5,619 ± 2,309 0,1067 TG GT + TT 8,366 ± 4,293 GT + TT 8,303 ± 4,135

TT SLC2A1 (rs710218) AA AA 7,497 ± 4,032 0,7988 AA 7,074 ± 3,200 0,6591 AT AT + TT 7,901 ± 4,175 AT + TT 8,271 ± 4,735 {Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|buy Anti-cancer Compound Library|Anti-cancer Compound Library ic50|Anti-cancer Compound Library price|Anti-cancer Compound Library cost|Anti-cancer Compound Library solubility dmso|Anti-cancer Compound Library purchase|Anti-cancer Compound Library manufacturer|Anti-cancer Compound Library research buy|Anti-cancer Compound Library order|Anti-cancer Compound Library mouse|Anti-cancer Compound Library chemical structure|Anti-cancer Compound Library mw|Anti-cancer Compound Library molecular weight|Anti-cancer Compound Library datasheet|Anti-cancer Compound Library supplier|Anti-cancer Compound Library in vitro|Anti-cancer Compound Library cell line|Anti-cancer Compound Library concentration|Anti-cancer Compound Library nmr|Anti-cancer Compound Library in vivo|Anti-cancer Compound Library clinical trial|Anti-cancer Compound Library cell assay|Anti-cancer Compound Library screening|Anti-cancer Compound Library high throughput|buy Anticancer Compound Library|Anticancer Compound Library ic50|Anticancer Compound Library price|Anticancer Compound Library cost|Anticancer Compound Library solubility dmso|Anticancer Compound Library purchase|Anticancer Compound Library manufacturer|Anticancer Compound Library research buy|Anticancer Compound Library order|Anticancer Compound Library chemical structure|Anticancer Compound Library datasheet|Anticancer Compound Library supplier|Anticancer Compound Library in vitro|Anticancer Compound Library cell line|Anticancer Compound Library concentration|Anticancer Compound Library clinical trial|Anticancer Compound Library cell assay|Anticancer Compound Library screening|Anticancer Compound Library high throughput|Anti-cancer Compound high throughput screening| TT HIF1a (rs11549465) CC CC 7,387 ± 3,850 0,4861 CC 7,214 ± 3,237 0,6724 CT CT + TT 8,848 ± 4,948 CT + TT 9,118 ± 6,172 TT APEX1 (rs1130409) TT TT 6,607 ± 3,360 0,3388 TT 6,412 ± 3,051 0,3187 TG TG + GG 8,229 ± 4,310 TT + GG 8,119 ± 4,208 GG VEGFA (rs3025039) CC CC 8,107 ± 4,178 0,3875 CC 7,997 ± 4,038 0,3302 CT CT + TT 6,205 ± 3,307 CT + TT 6,193 ± 3,218 TT MTHFR (rs1801133) CC CC 8,415 ± 5,367 0,9292 CC 7,687 ± 4,390 0,9764 CT CT + TT 7,444 ± 3,661 CT + TT 7,549 ± 3,840 TT   * Mann Whitney-U Test. We also classified the patients into subgroups according to their SUV values Torin 2 in vitro (subgroup with high SUV values versus low SUV values one, for both SUVmax and SUVpvc). A Fisher’s exact analysis confirmed that no significant association between PET tracer uptake and specific SNP profiles exists. Kim SJ. and colleagues have shown that the GLUT1 rs710218 polymorphism is significantly associated with SUVmax in combination with APEX1 rs1130409 SNP in NSCLC disease [15]. To investigate its putative role in FDG uptake in BC, we studied the association between the GLUT1 Rebamipide rs710218 SNP and SUVmax and SUVpvc in patients classified according the APEX1 rs1130409 genotype.

The levels of SUVmax and SUVpvc were similar because p value was greater than 0.05 in all GLUT1 rs710218 genotype groups regardless the APEX1 rs1130409 genotype (Table 5). Table 5 Association between the rs710218 GLUT1 SNP and SUVmax and SUVpvc values in BC patients according to APEX1 rs1130409 genotype SNP Genotype GLUT1 rs710218 genotypes SUVmax SUVmax p -values* SUVpvc SUVpvc p -values* APEX1 rs1130409 TT AA 6,735 ± 1,859 0,7302 6,408 ± 1,771 0,9048 (n = 9) AT + TT 6,504 ± 4,467 6,416 ± 4,034 TG AA 7,048 ± 4,763 0,3301 6,931 ± 3,890 0,414 (n = 13) AT + TT 8,525 ± 3,328 8,480 ± 2,413 GG AA 11,040 ± 2,560 >0,9999 9,050 ± 1,754 >0,9999   (n = 4) AT + TT 10,145 ± 6,314   12,490 ± 9,419   *Mann Whitney-U Test.