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. 2019 Apr 3;154(6):e190484. doi: 10.1001/jamasurg.2019.0484

Figure 2. Survival Analysis of Individuals With CD44 Single-Nucleotide Polymorphism rs353630 and Biomarker Signature .

Figure 2.

Analysis of tumor-specific survival after resection of pancreatic ductal adenocarcinoma (PDAC). A, Results of the Cox analysis in 192 patients with PDAC from 3 European centers who underwent a surgical resection of their pancreatic tumors (adjusted to the known independent prognostic factors tumor stage and resection status). Patients with a single-nucleotide polymorphism (SNP) rs353630 T/T genotype were associated with the shortest survival time compared with those with 1 or 2 C alleles. B, Results of the Cox analysis in 136 patients with PDAC from the publicly available Cancer Genome Atlas database who underwent a surgical resection of their tumors. Patients with a SNP rs353630T/T genotype had the shortest survival time compared with those with a C allele. The results were significant after correction for multiple testing (Q = 0.0451). C, and D, The graphs displays the survival curves for SNP rs353630 of 328 patients in the merged data set in the Cox multivariate analysis (C) and the Kaplan-Meier survival curves (D). E, Cox analysis of tumor-associated survival with a 2-dimensional biomarker signature that combines both SNP loci (rs684559 and rs353630) in the merged data set that comprises of 331 PDAC patients (adjusted to the known independent prognostic factors tumor stage and resection status). The risk-indicating signature includes the genotypes of each individual SNP that has individually been shown to associate with an increased risk of death, precisely rs684559 A/A or rs353630 T/T. The protective signature consists of the remaining genotype combinations: at least 1 C allele of rs353630 and 1 G allele of rs684559. F, Biomarker signature: the graphs display the Kaplan-Meier survival curves in the merged data set. The P values in D and F were determined with the log-rank test. HR indicates hazard ratio; TCGA, the Cancer Genome Atlas.