Q-omics provides the consensus-scored H2AJ profile across patient tissues and cancer cell-line models. H2AJ expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, H2AJ is differentially expressed in 12, with the highest sampling consensus in KIRP. Additionally, H2AJ RNA expression shows 16,770 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, KIRP, and TGCT as cancer lineages where H2AJ 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 H2AJ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H2AJ survival associations across molecular data types. H2AJ RNA expression shows survival associations in the most cancer types (28), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H2AJ RNA expression–survival associations across cancer types. High H2AJ expression shows unfavorable associations in HNSC, KIRC, LGG and GBM, but favorable associations in BLCA and OV. The HNSC 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 HNSC as the clearest survival context for H2AJ RNA expression.
This table summarizes H2AJ 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 KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for H2AJ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H2AJ shows lower tumor expression in UCEC and LUAD and higher tumor expression in KIRP, LIHC, KIRC and THCA. The KIRP box plot shows higher H2AJ RNA expression in tumor versus normal tissue (log2 FC = +0.977, t-test p < 0.001).
This table shows molecular features associated with H2AJ in patient tissues and cancer cell lines. In patient samples, H2AJ shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, H2AJ RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
