Q-omics provides the consensus-scored HUNK profile across patient tissues and cancer cell-line models. HUNK 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, HUNK is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, HUNK RNA expression shows 18,594 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, and KIRP as cancer lineages where HUNK 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 HUNK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HUNK survival associations across molecular data types. HUNK RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HUNK RNA expression–survival associations across cancer types. High HUNK expression shows unfavorable associations in ACC, UVM, MESO and CHOL, but favorable associations in KIRC and HNSC. 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 HUNK RNA expression.
This table summarizes HUNK 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 1. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for HUNK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HUNK shows lower tumor expression in KIRC, KICH, BLCA and BRCA and higher tumor expression in COAD and CHOL. The KIRC box plot shows higher HUNK RNA expression in normal versus tumor tissue (log2 FC = −1.689, t-test p < 0.001).
This table shows molecular features associated with HUNK in patient tissues and cancer cell lines. In patient samples, HUNK shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, HUNK 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 SOFT_TISSUE and LARGE_INTESTINE.
