ATP binding cassette subfamily A member 7Genealiases: ABCA-SSN · ABCX · AD9
Q-omics provides the consensus-scored ABCA7 profile across patient tissues and cancer cell-line models. ABCA7 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ABCA7 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, ABCA7 RNA expression shows 17,353 significant gene co-expression associations, with the highest sampling consensus in KICH. Together, these results highlight KIRC, COAD, and KICH as cancer lineages where ABCA7 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 ABCA7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCA7 survival associations across molecular data types. ABCA7 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (10) 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 ABCA7 RNA expression–survival associations across cancer types. High ABCA7 expression shows unfavorable associations in KIRC, UVM, LGG and ACC, but favorable associations in HNSC and SCLC. The KIRC 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 KIRC as the clearest survival context for ABCA7 RNA expression.
This table summarizes ABCA7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in COAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for ABCA7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCA7 shows higher tumor expression in COAD, KIRP, LIHC, STAD, UCEC and BLCA. The COAD box plot shows higher ABCA7 RNA expression in tumor versus normal tissue (log2 FC = +0.615, t-test p < 0.001).
This table shows molecular features associated with ABCA7 in patient tissues and cancer cell lines. In patient samples, ABCA7 shows the broadest associations at the RNA and protein expression levels, with KICH recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCA7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
