Q-omics provides the consensus-scored HOTTIP profile across patient tissues and cancer cell-line models. HOTTIP expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HOTTIP is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, HOTTIP RNA expression shows 11,914 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, HNSC, and TGCT as cancer lineages where HOTTIP 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 HOTTIP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOTTIP survival associations across molecular data types. HOTTIP RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HOTTIP RNA expression–survival associations across cancer types. High HOTTIP expression shows unfavorable associations in KIRC, HNSC, UVM, MESO and SKCM, but favorable associations in COAD. The KIRC 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 KIRC as the clearest survival context for HOTTIP RNA expression.
This table summarizes HOTTIP 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HOTTIP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOTTIP shows lower tumor expression in BLCA and higher tumor expression in HNSC, STAD, LIHC, LUSC and UCEC. The HNSC box plot shows higher HOTTIP RNA expression in tumor versus normal tissue (log2 FC = +0.103, t-test p < 0.001).
This table shows molecular features associated with HOTTIP in patient tissues and cancer cell lines. In patient samples, HOTTIP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
