Q-omics provides the consensus-scored H3C1 profile across patient tissues and cancer cell-line models. H3C1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, H3C1 is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, H3C1 RNA expression shows 16,713 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KICH, and GBM as cancer lineages where H3C1 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 H3C1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes H3C1 survival associations across molecular data types. H3C1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible H3C1 RNA expression–survival associations across cancer types. High H3C1 expression shows unfavorable associations in ACC and ESCA, but favorable associations in UCEC, STAD, UCS and SCLC. The UCEC 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 UCEC as the clearest survival context for H3C1 RNA expression.
This table summarizes H3C1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for H3C1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. H3C1 shows lower tumor expression in KICH and KIRC and higher tumor expression in HNSC, LIHC, UCEC and LUAD. The KICH box plot shows higher H3C1 RNA expression in normal versus tumor tissue (log2 FC = −0.793, t-test p < 0.001).
This table shows molecular features associated with H3C1 in patient tissues and cancer cell lines. In patient samples, H3C1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, H3C1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BLOOD_Leukemia.
