ATP binding cassette subfamily B member 4Genealiases: ABC21 · GBD1 · ICP3 · MDR2 · MDR2/3 · MDR3
Q-omics provides the consensus-scored ABCB4 profile across patient tissues and cancer cell-line models. ABCB4 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ABCB4 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, ABCB4 RNA expression shows 18,414 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where ABCB4 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 ABCB4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCB4 survival associations across molecular data types. ABCB4 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCB4 RNA expression–survival associations across cancer types. High ABCB4 expression shows unfavorable associations in UVM and ACC, but favorable associations in KIRC, PAAD, HNSC and LIHC. 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 ABCB4 RNA expression.
This table summarizes ABCB4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ABCB4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCB4 shows lower tumor expression in BLCA, KICH and CHOL and higher tumor expression in KIRC, LUAD and KIRP. The KIRC box plot shows higher ABCB4 RNA expression in tumor versus normal tissue (log2 FC = +1.067, t-test p < 0.001).
This table shows molecular features associated with ABCB4 in patient tissues and cancer cell lines. In patient samples, ABCB4 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, ABCB4 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 OVARY and BLOOD_Leukemia.
