ATP binding cassette subfamily B member 7Genealiases: ABC7 · ASAT · Atm1p · EST140535
Q-omics provides the consensus-scored ABCB7 profile across patient tissues and cancer cell-line models. ABCB7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ABCB7 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, ABCB7 RNA expression shows 19,100 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, LIHC, and UVM as cancer lineages where ABCB7 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 ABCB7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABCB7 survival associations across molecular data types. ABCB7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABCB7 RNA expression–survival associations across cancer types. High ABCB7 expression shows unfavorable associations in UVM and LGG, but favorable associations in KIRC, MESO, GBM and SKCM. The KIRC 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 KIRC as the clearest survival context for ABCB7 RNA expression.
This table summarizes ABCB7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in LIHC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ABCB7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABCB7 shows higher tumor expression in LIHC, KIRC, COAD, READ, LUAD and CHOL. The LIHC box plot shows higher ABCB7 RNA expression in tumor versus normal tissue (log2 FC = +0.620, t-test p < 0.001).
This table shows molecular features associated with ABCB7 in patient tissues and cancer cell lines. In patient samples, ABCB7 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, ABCB7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and UPPER_AERODIGESTIVE_TRACT.
