homeodomain interacting protein kinase 1Genealiases: Myak · Nbak2
Q-omics provides the consensus-scored HIPK1 profile across patient tissues and cancer cell-line models. HIPK1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HIPK1 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, HIPK1 RNA expression shows 20,330 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where HIPK1 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 HIPK1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HIPK1 survival associations across molecular data types. HIPK1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (12) 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 HIPK1 RNA expression–survival associations across cancer types. High HIPK1 expression shows unfavorable associations in LGG, BLCA and KICH, but favorable associations in KIRC, HNSC and UCEC. 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 HIPK1 RNA expression.
This table summarizes HIPK1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 2. The strongest signals are observed in THCA for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for HIPK1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HIPK1 shows lower tumor expression in THCA, KICH, LUSC and LUAD and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher HIPK1 RNA expression in normal versus tumor tissue (log2 FC = −0.828, t-test p < 0.001).
This table shows molecular features associated with HIPK1 in patient tissues and cancer cell lines. In patient samples, HIPK1 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, HIPK1 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 BLOOD_Myeloma and BLOOD_Leukemia.
