Q-omics provides the consensus-scored HEATR4 profile across patient tissues and cancer cell-line models. HEATR4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, HEATR4 is differentially expressed in 7, with the highest sampling consensus in THCA. Additionally, HEATR4 RNA expression shows 19,697 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, THCA, and UVM as cancer lineages where HEATR4 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 HEATR4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HEATR4 survival associations across molecular data types. HEATR4 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HEATR4 RNA expression–survival associations across cancer types. High HEATR4 expression shows unfavorable associations in LGG, OV, ACC and COAD, but favorable associations in BRCA and HNSC. The LGG 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 LGG as the clearest survival context for HEATR4 RNA expression.
This table summarizes HEATR4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 1. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for HEATR4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HEATR4 shows lower tumor expression in THCA, KIRC and BLCA and higher tumor expression in KICH, READ and HNSC. The THCA box plot shows higher HEATR4 RNA expression in normal versus tumor tissue (log2 FC = −0.454, t-test p < 0.001).
This table shows molecular features associated with HEATR4 in patient tissues and cancer cell lines. In patient samples, HEATR4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, HEATR4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
