HLA complex group 4Genealiases: HCG4P10 · HCGIV-10 · HCGIV.9
Q-omics provides the consensus-scored HCG4 profile across patient tissues and cancer cell-line models. HCG4 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HCG4 is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, HCG4 RNA expression shows 17,318 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, KICH, and KIRP as cancer lineages where HCG4 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 HCG4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HCG4 survival associations across molecular data types. HCG4 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HCG4 RNA expression–survival associations across cancer types. High HCG4 expression shows unfavorable associations in LUSC and GBM, but favorable associations in KIRC, UCS, DLBC and BRCA. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for HCG4 RNA expression.
This table summarizes HCG4 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 HCG4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HCG4 shows lower tumor expression in KICH, THCA, COAD and UCEC and higher tumor expression in KIRC and HNSC. The KICH box plot shows higher HCG4 RNA expression in normal versus tumor tissue (log2 FC = −2.670, t-test p < 0.001).
This table shows molecular features associated with HCG4 in patient tissues and cancer cell lines. In patient samples, HCG4 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
