Q-omics provides the consensus-scored SLC6A3 profile across patient tissues and cancer cell-line models. SLC6A3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SLC6A3 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, SLC6A3 RNA expression shows 13,745 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, and UVM as cancer lineages where SLC6A3 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 SLC6A3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC6A3 survival associations across molecular data types. SLC6A3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SLC6A3 RNA expression–survival associations across cancer types. High SLC6A3 expression shows unfavorable associations in UVM, KIRP, LIHC and KICH, but favorable associations in KIRC and MESO. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for SLC6A3 RNA expression.
This table summarizes SLC6A3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SLC6A3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC6A3 shows lower tumor expression in THCA and KICH and higher tumor expression in KIRC, HNSC, COAD and LUAD. The KIRC box plot shows higher SLC6A3 RNA expression in tumor versus normal tissue (log2 FC = +4.901, t-test p < 0.001).
This table shows molecular features associated with SLC6A3 in patient tissues and cancer cell lines. In patient samples, SLC6A3 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, SLC6A3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and BLOOD_Leukemia.
