ATP binding cassette subfamily B member 5Genealiases: ABCB5alpha · ABCB5beta · EST422562
Q-omics provides the consensus-scored ABCB5 profile across patient tissues and cancer cell-line models. ABCB5 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, ABCB5 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, ABCB5 RNA expression shows 16,048 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, COAD, and UVM as cancer lineages where ABCB5 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 ABCB5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCB5 survival associations across molecular data types. ABCB5 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCB5 RNA expression–survival associations across cancer types. High ABCB5 expression shows unfavorable associations in LGG, THCA, DLBC, LIHC and STAD, but favorable associations in ESCA. The LGG 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 LGG as the clearest survival context for ABCB5 RNA expression.
This table summarizes ABCB5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for ABCB5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCB5 shows lower tumor expression in COAD, BLCA, BRCA, UCEC, STAD and READ. The COAD box plot shows higher ABCB5 RNA expression in normal versus tumor tissue (log2 FC = −0.392, t-test p < 0.001).
This table shows molecular features associated with ABCB5 in patient tissues and cancer cell lines. In patient samples, ABCB5 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, ABCB5 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 UPPER_AERODIGESTIVE_TRACT and SKIN.
