huntingtin interacting protein 1 relatedGenealiases: HIP12 · HIP3 · ILWEQ
Q-omics provides the consensus-scored HIP1R profile across patient tissues and cancer cell-line models. HIP1R expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in SCLC. Among the 18 cancer types available for tumor–normal comparison, HIP1R is differentially expressed in 14, with the highest sampling consensus in LIHC. Additionally, HIP1R protein abundance shows 23,884 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SCLC, LIHC, and GBM as cancer lineages where HIP1R 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 HIP1R — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HIP1R survival associations across molecular data types. HIP1R RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HIP1R RNA expression–survival associations across cancer types. High HIP1R expression shows unfavorable associations in MESO and ACC, but favorable associations in SCLC, BLCA, UVM and LGG. The SCLC 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 SCLC as the clearest survival context for HIP1R RNA expression.
This table summarizes HIP1R tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 10. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HIP1R. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HIP1R shows higher tumor expression in LIHC, STAD, COAD, UCEC, BLCA and LUAD. The LIHC box plot shows higher HIP1R RNA expression in tumor versus normal tissue (log2 FC = +1.153, t-test p < 0.001).
This table shows molecular features associated with HIP1R in patient tissues and cancer cell lines. In patient samples, HIP1R 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, HIP1R 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_Leukemia and LARGE_INTESTINE.
