Q-omics provides the consensus-scored HK2P1 profile across patient tissues and cancer cell-line models. HK2P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, HK2P1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, HK2P1 RNA expression shows 13,576 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight LIHC, KIRC, and DLBC as cancer lineages where HK2P1 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 HK2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HK2P1 survival associations across molecular data types. HK2P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HK2P1 RNA expression–survival associations across cancer types. High HK2P1 expression shows unfavorable associations in LIHC, LGG, CESC and STAD, but favorable associations in ACC and KIRC. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify LIHC as the clearest survival context for HK2P1 RNA expression.
This table summarizes HK2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for HK2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HK2P1 shows higher tumor expression in KIRC, BLCA, HNSC, KIRP, UCEC and LUSC. The KIRC box plot shows higher HK2P1 RNA expression in tumor versus normal tissue (log2 FC = +0.141, t-test p < 0.001).
This table shows molecular features associated with HK2P1 in patient tissues and cancer cell lines. In patient samples, HK2P1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
