Q-omics provides the consensus-scored MMP15 profile across patient tissues and cancer cell-line models. MMP15 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, MMP15 is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, MMP15 RNA expression shows 17,761 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, THCA, and ACC as cancer lineages where MMP15 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 MMP15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMP15 survival associations across molecular data types. MMP15 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) 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 MMP15 RNA expression–survival associations across cancer types. High MMP15 expression shows unfavorable associations in ACC and BRCA, but favorable associations in KIRP, KIRC, BLCA and THYM. The KIRP 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 KIRP as the clearest survival context for MMP15 RNA expression.
This table summarizes MMP15 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 4. The strongest signals are observed in THCA for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for MMP15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP15 shows lower tumor expression in THCA and READ and higher tumor expression in HNSC, LUAD, BLCA and LIHC. The THCA box plot shows higher MMP15 RNA expression in normal versus tumor tissue (log2 FC = −1.794, t-test p < 0.001).
This table shows molecular features associated with MMP15 in patient tissues and cancer cell lines. In patient samples, MMP15 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, MMP15 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 LARGE_INTESTINE and SKIN.
