Q-omics provides the consensus-scored SLC2A13P1 profile across patient tissues and cancer cell-line models. SLC2A13P1 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SLC2A13P1 is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, SLC2A13P1 RNA expression shows 4,865 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UVM, KIRC, and STAD as cancer lineages where SLC2A13P1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for SLC2A13P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC2A13P1 survival associations across molecular data types. SLC2A13P1 RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SLC2A13P1 RNA expression–survival associations across cancer types. High SLC2A13P1 expression shows unfavorable associations in UVM, CESC, KIRC, BLCA, UCEC and SARC. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify UVM as the clearest survival context for SLC2A13P1 RNA expression.
This table summarizes SLC2A13P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SLC2A13P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC2A13P1 shows lower tumor expression in KIRC. The KIRC box plot shows higher SLC2A13P1 RNA expression in normal versus tumor tissue (log2 FC = −0.017, t-test p = .013).
This table shows molecular features associated with SLC2A13P1 in patient tissues and cancer cell lines. In patient samples, SLC2A13P1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
