Q-omics provides the consensus-scored HADHBP1 profile across patient tissues and cancer cell-line models. HADHBP1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, HADHBP1 is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, HADHBP1 RNA expression shows 5,798 significant pathway-activity associations, with the highest sampling consensus in UCEC. Together, these results highlight KICH, COAD, and UCEC as cancer lineages where HADHBP1 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 HADHBP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HADHBP1 survival associations across molecular data types. HADHBP1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HADHBP1 RNA expression–survival associations across cancer types. High HADHBP1 expression shows unfavorable associations in KICH, LIHC, BRCA and UVM, but favorable associations in THCA and UCS. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for HADHBP1 RNA expression.
This table summarizes HADHBP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for HADHBP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HADHBP1 shows lower tumor expression in KIRC, PAAD and THCA and higher tumor expression in COAD and CHOL. The COAD box plot shows higher HADHBP1 RNA expression in tumor versus normal tissue (log2 FC = +0.173, t-test p = .003).
This table shows molecular features associated with HADHBP1 in patient tissues and cancer cell lines. In patient samples, HADHBP1 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
