Q-omics provides the consensus-scored HDAC7 profile across patient tissues and cancer cell-line models. HDAC7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, HDAC7 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, HDAC7 protein abundance shows 24,596 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LGG, COAD, and GBM as cancer lineages where HDAC7 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 HDAC7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HDAC7 survival associations across molecular data types. HDAC7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HDAC7 RNA expression–survival associations across cancer types. High HDAC7 expression shows unfavorable associations in LGG, ACC and LIHC, but favorable associations in BLCA, SCLC and THYM. The LGG 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 LGG as the clearest survival context for HDAC7 RNA expression.
This table summarizes HDAC7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for HDAC7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HDAC7 shows lower tumor expression in LUSC and LUAD and higher tumor expression in COAD, HNSC, LIHC and KIRC. The COAD box plot shows higher HDAC7 RNA expression in tumor versus normal tissue (log2 FC = +0.827, t-test p < 0.001).
This table shows molecular features associated with HDAC7 in patient tissues and cancer cell lines. In patient samples, HDAC7 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, HDAC7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
