ATP binding cassette subfamily D member 4Genealiases: ABC41 · EST352188 · MAHCJ · P70R · P79R · PMP69
Q-omics provides the consensus-scored ABCD4 profile across patient tissues and cancer cell-line models. ABCD4 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ABCD4 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, ABCD4 RNA expression shows 21,011 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where ABCD4 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 ABCD4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCD4 survival associations across molecular data types. ABCD4 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9) 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 ABCD4 RNA expression–survival associations across cancer types. High ABCD4 expression shows unfavorable associations in ACC, UVM and LGG, but favorable associations in PAAD, BRCA and THYM. 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 ABCD4 RNA expression.
This table summarizes ABCD4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 4. The strongest signals are observed in KICH for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCD4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCD4 shows lower tumor expression in KICH, BRCA, LUSC and LUAD and higher tumor expression in BLCA and CHOL. The KICH box plot shows higher ABCD4 RNA expression in normal versus tumor tissue (log2 FC = −0.868, t-test p < 0.001).
This table shows molecular features associated with ABCD4 in patient tissues and cancer cell lines. In patient samples, ABCD4 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, ABCD4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
