Q-omics provides the consensus-scored HADHAP1 profile across patient tissues and cancer cell-line models. HADHAP1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HADHAP1 is differentially expressed in 10, with the highest sampling consensus in LUAD. Additionally, HADHAP1 RNA expression shows 15,601 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, LUAD, and HNSC as cancer lineages where HADHAP1 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 HADHAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HADHAP1 survival associations across molecular data types. HADHAP1 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 HADHAP1 RNA expression–survival associations across cancer types. High HADHAP1 expression shows unfavorable associations in ACC, LIHC, STAD, BRCA and DLBC, but favorable associations in PAAD. The ACC 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 ACC as the clearest survival context for HADHAP1 RNA expression.
This table summarizes HADHAP1 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 LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for HADHAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HADHAP1 shows lower tumor expression in READ, THCA and KICH and higher tumor expression in LUAD, COAD and HNSC. The LUAD box plot shows higher HADHAP1 RNA expression in tumor versus normal tissue (log2 FC = +0.177, t-test p < 0.001).
This table shows molecular features associated with HADHAP1 in patient tissues and cancer cell lines. In patient samples, HADHAP1 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.
