Q-omics provides the consensus-scored HCG27 profile across patient tissues and cancer cell-line models. HCG27 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, HCG27 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, HCG27 RNA expression shows 18,834 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BLCA, KIRC, and UVM as cancer lineages where HCG27 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 HCG27 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HCG27 survival associations across molecular data types. HCG27 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HCG27 RNA expression–survival associations across cancer types. High HCG27 expression shows unfavorable associations in ACC, but favorable associations in BLCA, SKCM, BRCA, THYM and READ. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BLCA as the clearest survival context for HCG27 RNA expression.
This table summarizes HCG27 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 HCG27. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HCG27 shows lower tumor expression in KICH, UCEC and BRCA and higher tumor expression in KIRC, LIHC and HNSC. The KIRC box plot shows higher HCG27 RNA expression in tumor versus normal tissue (log2 FC = +1.011, t-test p < 0.001).
This table shows molecular features associated with HCG27 in patient tissues and cancer cell lines. In patient samples, HCG27 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, HCG27 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
