Q-omics provides the consensus-scored MED14P1 profile across patient tissues and cancer cell-line models. MED14P1 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MED14P1 is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, MED14P1 RNA expression shows 4,972 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight HNSC, KIRC, and STAD as cancer lineages where MED14P1 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 MED14P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MED14P1 survival associations across molecular data types. MED14P1 RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MED14P1 RNA expression–survival associations across cancer types. High MED14P1 expression shows unfavorable associations in HNSC, MESO, THCA, SKCM, LUSC and GBM. The HNSC 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 HNSC as the clearest survival context for MED14P1 RNA expression.
This table summarizes MED14P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MED14P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MED14P1 shows lower tumor expression in KIRC. The KIRC box plot shows higher MED14P1 RNA expression in normal versus tumor tissue (log2 FC = −0.020, t-test p = .017).
This table shows molecular features associated with MED14P1 in patient tissues and cancer cell lines. In patient samples, MED14P1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
