Q-omics provides the consensus-scored MC5R profile across patient tissues and cancer cell-line models. MC5R expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, MC5R is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, MC5R RNA expression shows 12,166 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight COAD, HNSC, and ACC as cancer lineages where MC5R 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 MC5R — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MC5R survival associations across molecular data types. MC5R RNA expression shows survival associations in the most cancer types (28), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MC5R RNA expression–survival associations across cancer types. High MC5R expression shows unfavorable associations in COAD, ACC, STAD, UVM, MESO and LIHC. The COAD 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 COAD as the clearest survival context for MC5R RNA expression.
This table summarizes MC5R 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MC5R. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MC5R shows lower tumor expression in HNSC and KIRC and higher tumor expression in BRCA, LUAD, BLCA and UCEC. The HNSC box plot shows higher MC5R RNA expression in normal versus tumor tissue (log2 FC = −0.542, t-test p < 0.001).
This table shows molecular features associated with MC5R in patient tissues and cancer cell lines. In patient samples, MC5R 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, MC5R RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LARGE_INTESTINE.
