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. 2014 Jul 25;4:194. doi: 10.3389/fonc.2014.00194

Table 1.

Chosen RCC prognostic and predictive biomarkers, which have been discovered as a result of high-throughput genomic research conducted up to date.

Candidate RCC biomarkers – type Candidate RCC biomarkers – name High-throughput method used Reference
Predictive VEGFR-3 polymorphism rs307826 SNPs (Single nucleotide polymorphisms), genotyping Garcia-Donas et al. (70)
IL-8 phenotype 276TT SNPs, genotyping Xu et al. (71)
HIF-1αa phenotype 1790AG RNA microarray Choueiri et al. (72)
VHL mutation/methylationa DNA sequencing Garcia-Donas et al. (70)
OPN Multiplex bead array Zurita et al. (73)
VEGFa Multiplex bead array Zurita et al. (73)
TRAIL Multiplex bead array Zurita et al. (73)
VEGFR-2 Multiplex bead array Zurita et al. (73)
MET Comparative genomic microarray analysis (CGMA) Albiges et al. (74)
CXCR7 Gene-expression analysis of TECs Maishi et al. (75)
PD-0332991 Array comparative genomic hybridization (CGH) and gene expression Logan et al. (76)
Prognostic miR21/10b ratio Deep sequencing data from TCGA datasets Fritz et al. (77)
(HIC1) CpG island methylation Pyrosequencing Eggers et al. (78)

VEGFR-3, vascular endothelial growth factor-3; IL-8, interleukin-8; HIF-1α, hypoxia-inducible factor 1α subunit; VHL, von Hippel-Lindau; OPN = SPP1 secreted phosphoprotein 1; TRAIL, tumor necrosis factor-related apoptosis inducing ligand; MET, mammalian target of rapamycin; CXCR7, chemokine (C-X-C motif) receptor 7; PD-0332991, palbociclib, inhibitor of cyclin-dependent kinase 4/6; miR, micro RNA; HIC1, hypermethylated in cancer 1.

aBiomarkers are attributed either to the “predictive” or “prognostic” candidates on the basis of the information obtained from the current literature (if a biomarker is more often cited in PubMed as “predictive” – it is attributed to the “predictive” group).