ATP binding cassette subfamily E member 1Genealiases: ABC38 · OABP · RLI · RLI1 · RNASEL1 · RNASELI
Q-omics provides the consensus-scored ABCE1 profile across patient tissues and cancer cell-line models. ABCE1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, ABCE1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, ABCE1 protein abundance shows 23,201 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight MESO, HNSC, and LUAD as cancer lineages where ABCE1 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 ABCE1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCE1 survival associations across molecular data types. ABCE1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCE1 RNA expression–survival associations across cancer types. High ABCE1 expression shows unfavorable associations in MESO, CESC, HNSC, LIHC, PAAD and KIRP. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify MESO as the clearest survival context for ABCE1 RNA expression.
This table summarizes ABCE1 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 HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCE1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCE1 shows higher tumor expression in HNSC, STAD, COAD, LUAD, LUSC and KIRC. The HNSC box plot shows higher ABCE1 RNA expression in tumor versus normal tissue (log2 FC = +0.850, t-test p < 0.001).
This table shows molecular features associated with ABCE1 in patient tissues and cancer cell lines. In patient samples, ABCE1 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCE1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
