Q-omics provides the consensus-scored MC1R profile across patient tissues and cancer cell-line models. MC1R expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MC1R is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, MC1R RNA expression shows 17,984 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where MC1R 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 MC1R — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MC1R survival associations across molecular data types. MC1R RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MC1R RNA expression–survival associations across cancer types. High MC1R expression shows unfavorable associations in KIRC, COAD, UVM, ACC, LUAD and SKCM. The KIRC 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 KIRC as the clearest survival context for MC1R RNA expression.
This table summarizes MC1R tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MC1R. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MC1R shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, LUAD, LIHC and KIRC. The HNSC box plot shows higher MC1R RNA expression in tumor versus normal tissue (log2 FC = +0.777, t-test p < 0.001).
This table shows molecular features associated with MC1R in patient tissues and cancer cell lines. In patient samples, MC1R shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MC1R RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
