Q-omics provides the consensus-scored ANO3 profile across patient tissues and cancer cell-line models. ANO3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ANO3 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, ANO3 RNA expression shows 18,341 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KICH, and GBM as cancer lineages where ANO3 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 ANO3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ANO3 survival associations across molecular data types. ANO3 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ANO3 RNA expression–survival associations across cancer types. High ANO3 expression shows unfavorable associations in STAD, LUSC, KIRP and THYM, but favorable associations in KIRC and LGG. 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 ANO3 RNA expression.
This table summarizes ANO3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for ANO3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANO3 shows lower tumor expression in KICH, BRCA, LUSC, KIRP and THCA and higher tumor expression in BLCA. The KICH box plot shows higher ANO3 RNA expression in normal versus tumor tissue (log2 FC = −0.826, t-test p < 0.001).
This table shows molecular features associated with ANO3 in patient tissues and cancer cell lines. In patient samples, ANO3 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, ANO3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
