ATP binding cassette subfamily A member 4Genealiases: ABC10 · ABCR · ARMD2 · CORD3 · FFM · RMP
Q-omics provides the consensus-scored ABCA4 profile across patient tissues and cancer cell-line models. ABCA4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, ABCA4 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, ABCA4 RNA expression shows 14,612 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight BLCA, KIRC, and THYM as cancer lineages where ABCA4 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 ABCA4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCA4 survival associations across molecular data types. ABCA4 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCA4 RNA expression–survival associations across cancer types. High ABCA4 expression shows unfavorable associations in BLCA, KIRP, SKCM, MESO and STAD, but favorable associations in LUAD. The BLCA 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 BLCA as the clearest survival context for ABCA4 RNA expression.
This table summarizes ABCA4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ABCA4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCA4 shows lower tumor expression in KIRC, KICH and KIRP and higher tumor expression in LIHC, THCA and LUAD. The KIRC box plot shows higher ABCA4 RNA expression in normal versus tumor tissue (log2 FC = −2.754, t-test p < 0.001).
This table shows molecular features associated with ABCA4 in patient tissues and cancer cell lines. In patient samples, ABCA4 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCA4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LIVER and LARGE_INTESTINE.
