Q-omics provides the consensus-scored SMCP profile across patient tissues and cancer cell-line models. SMCP expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, SMCP is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, SMCP RNA expression shows 8,262 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UCEC, HNSC, and ACC as cancer lineages where SMCP 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 SMCP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMCP survival associations across molecular data types. SMCP RNA expression shows survival associations in the most cancer types (19), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SMCP RNA expression–survival associations across cancer types. High SMCP expression shows unfavorable associations in UCEC, MESO, LUAD, ACC, THCA and COAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify UCEC as the clearest survival context for SMCP RNA expression.
This table summarizes SMCP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SMCP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMCP shows lower tumor expression in STAD and higher tumor expression in HNSC, LUSC and BLCA. The HNSC box plot shows higher SMCP RNA expression in tumor versus normal tissue (log2 FC = +0.146, t-test p = .005).
This table shows molecular features associated with SMCP in patient tissues and cancer cell lines. In patient samples, SMCP 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, SMCP 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 LUNG_NSCLC_LUAD and SKIN.
