Q-omics provides the consensus-scored H2AL1QP profile across patient tissues and cancer cell-line models. H2AL1QP expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, H2AL1QP is differentially expressed in 6, with the highest sampling consensus in KIRC. Additionally, H2AL1QP RNA expression shows 6,539 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight SKCM, KIRC, and ESCA as cancer lineages where H2AL1QP 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 H2AL1QP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AL1QP survival associations across molecular data types. H2AL1QP RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AL1QP RNA expression–survival associations across cancer types. High H2AL1QP expression shows unfavorable associations in SKCM, UVM, ESCA, OV, LIHC and BRCA. The SKCM 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 SKCM as the clearest survival context for H2AL1QP RNA expression.
This table summarizes H2AL1QP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for H2AL1QP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AL1QP shows lower tumor expression in KIRC, LUAD, KICH and LUSC and higher tumor expression in UCEC and PRAD. The KIRC box plot shows higher H2AL1QP RNA expression in normal versus tumor tissue (log2 FC = −0.064, t-test p = .001).
This table shows molecular features associated with H2AL1QP in patient tissues and cancer cell lines. In patient samples, H2AL1QP shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
