ATP binding cassette subfamily D member 1 pseudogene 3Genealiases: []
Q-omics provides the consensus-scored ABCD1P3 profile across patient tissues and cancer cell-line models. ABCD1P3 expression is associated with patient survival in 7 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, ABCD1P3 is differentially expressed in 1, with the highest sampling consensus in STAD. Additionally, ABCD1P3 RNA expression shows 4,509 significant pathway-activity associations, with the highest sampling consensus in HNSC. Together, these results highlight ESCA, STAD, and HNSC as cancer lineages where ABCD1P3 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 ABCD1P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCD1P3 survival associations across molecular data types. ABCD1P3 RNA expression shows survival associations in the most cancer types (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCD1P3 RNA expression–survival associations across cancer types. High ABCD1P3 expression shows unfavorable associations in ESCA, UCEC, READ, GBM, STAD and SKCM. The ESCA 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 ESCA as the clearest survival context for ABCD1P3 RNA expression.
This table summarizes ABCD1P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for ABCD1P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCD1P3 shows higher tumor expression in STAD. The STAD box plot shows higher ABCD1P3 RNA expression in tumor versus normal tissue (log2 FC = +0.068, t-test p = .041).
This table shows molecular features associated with ABCD1P3 in patient tissues and cancer cell lines. In patient samples, ABCD1P3 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
