Q-omics provides the consensus-scored MMP23A profile across patient tissues and cancer cell-line models. MMP23A expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MMP23A is differentially expressed in 6, with the highest sampling consensus in KICH. Additionally, MMP23A RNA expression shows 10,333 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where MMP23A 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 MMP23A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MMP23A survival associations across molecular data types. MMP23A RNA expression shows survival associations in the most cancer types (27). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MMP23A RNA expression–survival associations across cancer types. High MMP23A expression shows unfavorable associations in UVM, UCEC, DLBC and LGG, but favorable associations in MESO and CHOL. 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 MMP23A RNA expression.
This table summarizes MMP23A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for MMP23A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP23A shows lower tumor expression in KICH, COAD, THCA and BRCA and higher tumor expression in BLCA and PRAD. The KICH box plot shows higher MMP23A RNA expression in normal versus tumor tissue (log2 FC = −0.465, t-test p < 0.001).
This table shows molecular features associated with MMP23A in patient tissues and cancer cell lines. In patient samples, MMP23A shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MMP23A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BREAST.
