ATP binding cassette subfamily C member 11Genealiases: EWWD · MRP8 · WW
Q-omics provides the consensus-scored ABCC11 profile across patient tissues and cancer cell-line models. ABCC11 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, ABCC11 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, ABCC11 RNA expression shows 17,569 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight THCA, LUAD, and ACC as cancer lineages where ABCC11 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 ABCC11 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCC11 survival associations across molecular data types. ABCC11 RNA expression shows survival associations in the most cancer types (17), 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 ABCC11 RNA expression–survival associations across cancer types. High ABCC11 expression shows unfavorable associations in KIRP, LUAD and ACC, but favorable associations in THCA, UCS and SKCM. The THCA 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 THCA as the clearest survival context for ABCC11 RNA expression.
This table summarizes ABCC11 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 LUAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCC11. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCC11 shows lower tumor expression in KICH and higher tumor expression in LUAD, LUSC, HNSC, THCA and BRCA. The LUAD box plot shows higher ABCC11 RNA expression in tumor versus normal tissue (log2 FC = +0.233, t-test p < 0.001).
This table shows molecular features associated with ABCC11 in patient tissues and cancer cell lines. In patient samples, ABCC11 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, ABCC11 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and BREAST.
