Q-omics provides the consensus-scored MAPK12 profile across patient tissues and cancer cell-line models. MAPK12 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MAPK12 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, MAPK12 RNA expression shows 17,641 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, COAD, and ACC as cancer lineages where MAPK12 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 MAPK12 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MAPK12 survival associations across molecular data types. MAPK12 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MAPK12 RNA expression–survival associations across cancer types. High MAPK12 expression shows unfavorable associations in UVM, ACC, COAD, MESO, BLCA and HNSC. The UVM 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 UVM as the clearest survival context for MAPK12 RNA expression.
This table summarizes MAPK12 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for MAPK12. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAPK12 shows lower tumor expression in KICH and higher tumor expression in COAD, KIRC, LUAD, LIHC and THCA. The COAD box plot shows higher MAPK12 RNA expression in tumor versus normal tissue (log2 FC = +0.818, t-test p < 0.001).
This table shows molecular features associated with MAPK12 in patient tissues and cancer cell lines. In patient samples, MAPK12 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, MAPK12 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LARGE_INTESTINE.
