Q-omics provides the consensus-scored MCPH1 profile across patient tissues and cancer cell-line models. MCPH1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MCPH1 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, MCPH1 RNA expression shows 20,299 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where MCPH1 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 MCPH1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MCPH1 survival associations across molecular data types. MCPH1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MCPH1 RNA expression–survival associations across cancer types. High MCPH1 expression shows unfavorable associations in LIHC, STAD and BLCA, but favorable associations in KIRC, HNSC and SKCM. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for MCPH1 RNA expression.
This table summarizes MCPH1 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for MCPH1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MCPH1 shows lower tumor expression in THCA and BRCA and higher tumor expression in STAD, CHOL, READ and LUAD. The THCA box plot shows higher MCPH1 RNA expression in normal versus tumor tissue (log2 FC = −0.470, t-test p < 0.001).
This table shows molecular features associated with MCPH1 in patient tissues and cancer cell lines. In patient samples, MCPH1 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, MCPH1 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 BLOOD_Lymphoma and LARGE_INTESTINE.
