Q-omics provides the consensus-scored SLC9A5 profile across patient tissues and cancer cell-line models. SLC9A5 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SLC9A5 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, SLC9A5 RNA expression shows 19,269 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, HNSC, and UVM as cancer lineages where SLC9A5 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 SLC9A5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC9A5 survival associations across molecular data types. SLC9A5 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SLC9A5 RNA expression–survival associations across cancer types. High SLC9A5 expression shows unfavorable associations in ACC, KIRC, KIRP, MESO, BLCA and DLBC. The ACC 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 ACC as the clearest survival context for SLC9A5 RNA expression.
This table summarizes SLC9A5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SLC9A5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC9A5 shows higher tumor expression in HNSC, THCA, COAD, BLCA, KIRC and STAD. The HNSC box plot shows higher SLC9A5 RNA expression in tumor versus normal tissue (log2 FC = +0.514, t-test p < 0.001).
This table shows molecular features associated with SLC9A5 in patient tissues and cancer cell lines. In patient samples, SLC9A5 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC9A5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
