Q-omics provides the consensus-scored MADCAM1 profile across patient tissues and cancer cell-line models. MADCAM1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MADCAM1 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, MADCAM1 protein abundance shows 18,896 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, COAD, and GBM as cancer lineages where MADCAM1 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 MADCAM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MADCAM1 survival associations across molecular data types. MADCAM1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MADCAM1 RNA expression–survival associations across cancer types. High MADCAM1 expression shows unfavorable associations in KIRC and ACC, but favorable associations in HNSC, LUAD, LGG and OV. The KIRC 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 KIRC as the clearest survival context for MADCAM1 RNA expression.
This table summarizes MADCAM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for MADCAM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MADCAM1 shows lower tumor expression in COAD and READ and higher tumor expression in KIRP, LIHC, CHOL and BLCA. The COAD box plot shows higher MADCAM1 RNA expression in normal versus tumor tissue (log2 FC = −1.684, t-test p < 0.001).
This table shows molecular features associated with MADCAM1 in patient tissues and cancer cell lines. In patient samples, MADCAM1 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, MADCAM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and SOFT_TISSUE.
