solute carrier family 50 member 1Genealiases: HsSWEET1 · RAG1AP1 · SCP · SWEET1 · slv
Q-omics provides the consensus-scored SLC50A1 profile across patient tissues and cancer cell-line models. SLC50A1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SLC50A1 is differentially expressed in 17, with the highest sampling consensus in BLCA. Additionally, SLC50A1 RNA expression shows 17,789 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, BLCA, and ACC as cancer lineages where SLC50A1 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 SLC50A1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SLC50A1 survival associations across molecular data types. SLC50A1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SLC50A1 RNA expression–survival associations across cancer types. High SLC50A1 expression shows unfavorable associations in KIRC, KIRP, UVM, KICH, ACC and LIHC. The KIRC 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 KIRC as the clearest survival context for SLC50A1 RNA expression.
This table summarizes SLC50A1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 1. The strongest signals are observed in BLCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for SLC50A1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SLC50A1 shows higher tumor expression in BLCA, LIHC, LUAD, HNSC, LUSC and KIRP. The BLCA box plot shows higher SLC50A1 RNA expression in tumor versus normal tissue (log2 FC = +1.594, t-test p < 0.001).
This table shows molecular features associated with SLC50A1 in patient tissues and cancer cell lines. In patient samples, SLC50A1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, SLC50A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
