Q-omics provides the consensus-scored MMP10 profile across patient tissues and cancer cell-line models. MMP10 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MMP10 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, MMP10 RNA expression shows 14,050 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where MMP10 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 MMP10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMP10 survival associations across molecular data types. MMP10 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MMP10 RNA expression–survival associations across cancer types. High MMP10 expression shows unfavorable associations in ACC, LIHC, MESO, SARC and LGG, but favorable associations in COAD. 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 MMP10 RNA expression.
This table summarizes MMP10 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 HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for MMP10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP10 shows higher tumor expression in HNSC, COAD, LUAD, THCA, LUSC and UCEC. The HNSC box plot shows higher MMP10 RNA expression in tumor versus normal tissue (log2 FC = +4.357, t-test p < 0.001).
This table shows molecular features associated with MMP10 in patient tissues and cancer cell lines. In patient samples, MMP10 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, MMP10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and SOFT_TISSUE.
