Q-omics provides the consensus-scored HCG15 profile across patient tissues and cancer cell-line models. HCG15 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, HCG15 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, HCG15 RNA expression shows 18,967 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRP, HNSC, and THYM as cancer lineages where HCG15 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 HCG15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HCG15 survival associations across molecular data types. HCG15 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HCG15 RNA expression–survival associations across cancer types. High HCG15 expression shows unfavorable associations in KIRP, KICH and DLBC, but favorable associations in UCS, KIRC and UVM. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for HCG15 RNA expression.
This table summarizes HCG15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HCG15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HCG15 shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRP, LUAD, COAD and KIRC. The HNSC box plot shows higher HCG15 RNA expression in tumor versus normal tissue (log2 FC = +0.937, t-test p < 0.001).
This table shows molecular features associated with HCG15 in patient tissues and cancer cell lines. In patient samples, HCG15 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
