Q-omics provides the consensus-scored MMP14 profile across patient tissues and cancer cell-line models. MMP14 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MMP14 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, MMP14 protein abundance shows 22,592 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where MMP14 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 MMP14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMP14 survival associations across molecular data types. MMP14 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MMP14 RNA expression–survival associations across cancer types. High MMP14 expression shows unfavorable associations in ACC, MESO, BLCA, LGG, LUAD and LIHC. The ACC 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 ACC as the clearest survival context for MMP14 RNA expression.
This table summarizes MMP14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for MMP14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP14 shows higher tumor expression in HNSC, KIRC, KIRP, BLCA, STAD and COAD. The HNSC box plot shows higher MMP14 RNA expression in tumor versus normal tissue (log2 FC = +2.673, t-test p < 0.001).
This table shows molecular features associated with MMP14 in patient tissues and cancer cell lines. In patient samples, MMP14 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, MMP14 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BREAST.
