Q-omics provides the consensus-scored MCM8 profile across patient tissues and cancer cell-line models. MCM8 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, MCM8 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, MCM8 RNA expression shows 23,417 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, HNSC, and GBM as cancer lineages where MCM8 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 MCM8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MCM8 survival associations across molecular data types. MCM8 RNA expression shows survival associations in the most cancer types (24), 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 MCM8 RNA expression–survival associations across cancer types. High MCM8 expression shows unfavorable associations in MESO, ACC, LIHC, LGG, PAAD and KICH. The MESO 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 MESO as the clearest survival context for MCM8 RNA expression.
This table summarizes MCM8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MCM8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MCM8 shows higher tumor expression in HNSC, BLCA, COAD, STAD, LIHC and LUAD. The HNSC box plot shows higher MCM8 RNA expression in tumor versus normal tissue (log2 FC = +1.443, t-test p < 0.001).
This table shows molecular features associated with MCM8 in patient tissues and cancer cell lines. In patient samples, MCM8 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, MCM8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
