Q-omics provides the consensus-scored MC2R profile across patient tissues and cancer cell-line models. MC2R expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, MC2R is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, MC2R RNA expression shows 11,892 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, COAD, and ACC as cancer lineages where MC2R 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 MC2R — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MC2R survival associations across molecular data types. MC2R RNA expression shows survival associations in the most cancer types (17), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MC2R RNA expression–survival associations across cancer types. High MC2R expression shows unfavorable associations in KICH, COAD, LIHC, ACC, UCEC and KIRP. The KICH 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 KICH as the clearest survival context for MC2R RNA expression.
This table summarizes MC2R tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for MC2R. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MC2R shows lower tumor expression in KIRC, KICH and LUSC and higher tumor expression in COAD, STAD and BRCA. The COAD box plot shows higher MC2R RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .004).
This table shows molecular features associated with MC2R in patient tissues and cancer cell lines. In patient samples, MC2R 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, MC2R 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 LUNG_NSCLC_LUAD and LUNG_SCLC.
