Q-omics provides the consensus-scored HEIH profile across patient tissues and cancer cell-line models. HEIH expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, HEIH is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, HEIH RNA expression shows 16,007 significant gene co-expression associations, with the highest sampling consensus in PCPG. Together, these results highlight MESO, THCA, and PCPG as cancer lineages where HEIH 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 HEIH — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HEIH survival associations across molecular data types. HEIH RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HEIH RNA expression–survival associations across cancer types. High HEIH expression shows unfavorable associations in LAML and LUSC, but favorable associations in MESO, KIRC, PAAD and SARC. The MESO 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 MESO as the clearest survival context for HEIH RNA expression.
This table summarizes HEIH tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for HEIH. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HEIH shows lower tumor expression in THCA, LUSC, UCEC, LUAD and BRCA and higher tumor expression in LIHC. The THCA box plot shows higher HEIH RNA expression in normal versus tumor tissue (log2 FC = −1.062, t-test p < 0.001).
This table shows molecular features associated with HEIH in patient tissues and cancer cell lines. In patient samples, HEIH shows the broadest associations at the RNA and protein expression levels, with PCPG recurring as the lineage with the largest associated feature set.
