ATP binding cassette subfamily A member 2Genealiases: ABC2 · IDPOGSA
Q-omics provides the consensus-scored ABCA2 profile across patient tissues and cancer cell-line models. ABCA2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ABCA2 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, ABCA2 RNA expression shows 19,807 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, COAD, and KIRP as cancer lineages where ABCA2 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 ABCA2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCA2 survival associations across molecular data types. ABCA2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (12) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCA2 RNA expression–survival associations across cancer types. High ABCA2 expression shows unfavorable associations in ACC, LIHC and KIRC, but favorable associations in SKCM, HNSC and CESC. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify ACC as the clearest survival context for ABCA2 RNA expression.
This table summarizes ABCA2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ABCA2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCA2 shows lower tumor expression in KIRP and higher tumor expression in COAD, LIHC, STAD, CHOL and PRAD. The COAD box plot shows higher ABCA2 RNA expression in tumor versus normal tissue (log2 FC = +0.693, t-test p < 0.001).
This table shows molecular features associated with ABCA2 in patient tissues and cancer cell lines. In patient samples, ABCA2 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCA2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and SOFT_TISSUE.
