Q-omics provides the consensus-scored RAMAC profile across patient tissues and cancer cell-line models. RAMAC expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, RAMAC is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, RAMAC RNA expression shows 19,703 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, HNSC, and ACC as cancer lineages where RAMAC 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 RAMAC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAMAC survival associations across molecular data types. RAMAC RNA expression shows survival associations in the most cancer types (24), followed by mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RAMAC RNA expression–survival associations across cancer types. High RAMAC expression shows unfavorable associations in KIRP, HNSC and LGG, but favorable associations in OV, KIRC and LUSC. The KIRP 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 KIRP as the clearest survival context for RAMAC RNA expression.
This table summarizes RAMAC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for RAMAC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAMAC shows higher tumor expression in HNSC, LIHC, BLCA, LUSC, LUAD and KIRC. The HNSC box plot shows higher RAMAC RNA expression in tumor versus normal tissue (log2 FC = +0.717, t-test p < 0.001).
This table shows molecular features associated with RAMAC in patient tissues and cancer cell lines. In patient samples, RAMAC shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, RAMAC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Lymphoma.
