Q-omics provides the consensus-scored MMP17 profile across patient tissues and cancer cell-line models. MMP17 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, MMP17 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, MMP17 RNA expression shows 15,457 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where MMP17 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 MMP17 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMP17 survival associations across molecular data types. MMP17 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (10) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MMP17 RNA expression–survival associations across cancer types. High MMP17 expression shows unfavorable associations in ACC, MESO, KIRC, OV, KIRP and CESC. 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 MMP17 RNA expression.
This table summarizes MMP17 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MMP17. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP17 shows higher tumor expression in HNSC, LUAD, LUSC, KIRC, COAD and LIHC. The HNSC box plot shows higher MMP17 RNA expression in tumor versus normal tissue (log2 FC = +1.690, t-test p < 0.001).
This table shows molecular features associated with MMP17 in patient tissues and cancer cell lines. In patient samples, MMP17 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, MMP17 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN and LARGE_INTESTINE.
