ATP binding cassette subfamily B member 10Genealiases: EST20237 · M-ABC2 · MTABC2
Q-omics provides the consensus-scored ABCB10 profile across patient tissues and cancer cell-line models. ABCB10 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ABCB10 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, ABCB10 RNA expression shows 19,617 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where ABCB10 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 ABCB10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCB10 survival associations across molecular data types. ABCB10 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (5) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCB10 RNA expression–survival associations across cancer types. High ABCB10 expression shows unfavorable associations in ACC, UVM, MESO, CESC and ESCA, but favorable associations in KIRC. The ACC 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 ACC as the clearest survival context for ABCB10 RNA expression.
This table summarizes ABCB10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCB10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCB10 shows lower tumor expression in THCA and KICH and higher tumor expression in KIRC, LIHC, BRCA and HNSC. The THCA box plot shows higher ABCB10 RNA expression in normal versus tumor tissue (log2 FC = −0.968, t-test p < 0.001).
This table shows molecular features associated with ABCB10 in patient tissues and cancer cell lines. In patient samples, ABCB10 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, ABCB10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LIVER and UPPER_AERODIGESTIVE_TRACT.
