Q-omics provides the consensus-scored RHEBP1 profile across patient tissues and cancer cell-line models. RHEBP1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RHEBP1 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, RHEBP1 RNA expression shows 12,075 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight SKCM, KICH, and ACC as cancer lineages where RHEBP1 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 RHEBP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RHEBP1 survival associations across molecular data types. RHEBP1 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 RHEBP1 RNA expression–survival associations across cancer types. High RHEBP1 expression shows unfavorable associations in LUSC, LUAD, LIHC and COAD, but favorable associations in SKCM and BRCA. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify SKCM as the clearest survival context for RHEBP1 RNA expression.
This table summarizes RHEBP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RHEBP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RHEBP1 shows lower tumor expression in KICH, CHOL, KIRC and LUAD and higher tumor expression in LIHC and HNSC. The KICH box plot shows higher RHEBP1 RNA expression in normal versus tumor tissue (log2 FC = −0.440, t-test p < 0.001).
This table shows molecular features associated with RHEBP1 in patient tissues and cancer cell lines. In patient samples, RHEBP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
