ATP binding cassette subfamily A member 8Genealiases: []
Q-omics provides the consensus-scored ABCA8 profile across patient tissues and cancer cell-line models. ABCA8 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ABCA8 is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, ABCA8 RNA expression shows 26,690 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, COAD, and LSCC as cancer lineages where ABCA8 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 ABCA8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCA8 survival associations across molecular data types. ABCA8 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCA8 RNA expression–survival associations across cancer types. High ABCA8 expression shows unfavorable associations in BLCA, but favorable associations in HNSC, LUAD, BRCA, KIRC and SKCM. The HNSC 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 HNSC as the clearest survival context for ABCA8 RNA expression.
This table summarizes ABCA8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCA8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCA8 shows lower tumor expression in COAD, KIRC, BLCA, LUAD, THCA and LUSC. The COAD box plot shows higher ABCA8 RNA expression in normal versus tumor tissue (log2 FC = −3.202, t-test p < 0.001).
This table shows molecular features associated with ABCA8 in patient tissues and cancer cell lines. In patient samples, ABCA8 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCA8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and LARGE_INTESTINE.
