PrognoScan Database Analysis

The relationship between PMEL expression and OS in multiple types of cancers was analyzed by the PrognoScan database (http://dna00.bio.kyutech.ac.jp/PrognoScan/index.html), which is a new database for meta-analysis of the prognostic value of genes.15 The Figure ​Figure3E3E and F with cutoff value 75% and 50%, respectively. The OS curves of cancers significantly related to PMEL expression were as follows with P-value<0.05.

The correlation between PMEL over-expression gene and OS of SKCM in GEPIA and TIMER database (A−D). A, High PMEL expression level corresponded with poor OS prognosis of SKCM in GEPIA database (HR=1.5, log-rank P=0.0058, cutoff value, 50%). B−D, High PMEL expression level correlated with poor OS prognosis of SKCM, SKCM-metastasis and SKCM-primary in TIMER (cutoff value, 50%). The Kaplan-Meier overall survival curves comparing the high and low-expression levels of PMEL in various types of cancer in PrognoScan (E, F). E and F, High PMEL expression level corresponded with poor OS prognosis in melanoma and lung cancer, respectively (P<0.05; cutoff value, 75% and 50%, respectively). GEPIA indicates Gene Expression Profiling Interactive Analysis; HR, hazard ratio; OS, overall survival; PMEL, premelanosome protein; SKCM, skin cutaneous melanoma; TCGA, The Cancer Genome Atlas; TIMER, Tumor Immune Estimation Resource.