Q-omics provides the consensus-scored HERC2P2 profile across patient tissues and cancer cell-line models. HERC2P2 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HERC2P2 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, HERC2P2 RNA expression shows 18,184 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where HERC2P2 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 HERC2P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HERC2P2 survival associations across molecular data types. HERC2P2 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HERC2P2 RNA expression–survival associations across cancer types. High HERC2P2 expression shows unfavorable associations in KIRC, KICH, ACC, UVM and PRAD, but favorable associations in BRCA. 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 HERC2P2 RNA expression.
This table summarizes HERC2P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for HERC2P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HERC2P2 shows lower tumor expression in BRCA and higher tumor expression in COAD, LIHC, KIRC, CHOL and READ. The COAD box plot shows higher HERC2P2 RNA expression in tumor versus normal tissue (log2 FC = +0.657, t-test p < 0.001).
This table shows molecular features associated with HERC2P2 in patient tissues and cancer cell lines. In patient samples, HERC2P2 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, HERC2P2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS.
