Q-omics provides the consensus-scored ANKS6 profile across patient tissues and cancer cell-line models. ANKS6 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, ANKS6 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, ANKS6 RNA expression shows 19,651 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where ANKS6 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 ANKS6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ANKS6 survival associations across molecular data types. ANKS6 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ANKS6 RNA expression–survival associations across cancer types. High ANKS6 expression shows unfavorable associations in ACC, LIHC, OV, BLCA and CESC, but favorable associations in KIRC. The ACC 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 ACC as the clearest survival context for ANKS6 RNA expression.
This table summarizes ANKS6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ANKS6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANKS6 shows lower tumor expression in KICH and BRCA and higher tumor expression in COAD, STAD, LIHC and HNSC. The COAD box plot shows higher ANKS6 RNA expression in tumor versus normal tissue (log2 FC = +1.542, t-test p < 0.001).
This table shows molecular features associated with ANKS6 in patient tissues and cancer cell lines. In patient samples, ANKS6 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, ANKS6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
