Q-omics provides the consensus-scored HDAC1P1 profile across patient tissues and cancer cell-line models. HDAC1P1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, HDAC1P1 is differentially expressed in 8, with the highest sampling consensus in STAD. Additionally, HDAC1P1 RNA expression shows 14,379 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight UCS, STAD, and LUAD as cancer lineages where HDAC1P1 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 HDAC1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HDAC1P1 survival associations across molecular data types. HDAC1P1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HDAC1P1 RNA expression–survival associations across cancer types. High HDAC1P1 expression shows unfavorable associations in UVM, LGG, BRCA and ESCA, but favorable associations in UCS and CESC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .004). Together, the overview and detailed table identify UCS as the clearest survival context for HDAC1P1 RNA expression.
This table summarizes HDAC1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for HDAC1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HDAC1P1 shows lower tumor expression in COAD and READ and higher tumor expression in STAD, BRCA, LIHC and KIRC. The STAD box plot shows higher HDAC1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.135, t-test p = .013).
This table shows molecular features associated with HDAC1P1 in patient tissues and cancer cell lines. In patient samples, HDAC1P1 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
