Q-omics provides the consensus-scored KIAA2013 profile across patient tissues and cancer cell-line models. KIAA2013 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, KIAA2013 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, KIAA2013 RNA expression shows 18,602 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where KIAA2013 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 KIAA2013 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KIAA2013 survival associations across molecular data types. KIAA2013 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) 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 KIAA2013 RNA expression–survival associations across cancer types. High KIAA2013 expression shows unfavorable associations in ACC, HNSC, LGG and UCS, but favorable associations in THCA and 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 KIAA2013 RNA expression.
This table summarizes KIAA2013 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for KIAA2013. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KIAA2013 shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, THCA, LUSC and KIRC. The HNSC box plot shows higher KIAA2013 RNA expression in tumor versus normal tissue (log2 FC = +0.791, t-test p < 0.001).
This table shows molecular features associated with KIAA2013 in patient tissues and cancer cell lines. In patient samples, KIAA2013 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, KIAA2013 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 LUNG_NSCLC_LUAD and UPPER_AERODIGESTIVE_TRACT.
