ATP binding cassette subfamily C member 6 pseudogene 1Genealiases: []
Q-omics provides the consensus-scored ABCC6P1 profile across patient tissues and cancer cell-line models. ABCC6P1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, ABCC6P1 is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, ABCC6P1 RNA expression shows 13,502 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRP, THCA, and TGCT as cancer lineages where ABCC6P1 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 ABCC6P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCC6P1 survival associations across molecular data types. ABCC6P1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCC6P1 RNA expression–survival associations across cancer types. High ABCC6P1 expression shows unfavorable associations in KICH and UCEC, but favorable associations in KIRP, READ, LUAD and UCS. The KIRP 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 KIRP as the clearest survival context for ABCC6P1 RNA expression.
This table summarizes ABCC6P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for ABCC6P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCC6P1 shows lower tumor expression in KICH, LUSC, BRCA and COAD and higher tumor expression in THCA and KIRC. The THCA box plot shows higher ABCC6P1 RNA expression in tumor versus normal tissue (log2 FC = +1.356, t-test p < 0.001).
This table shows molecular features associated with ABCC6P1 in patient tissues and cancer cell lines. In patient samples, ABCC6P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCC6P1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST.
