Q-omics provides the consensus-scored SMN1 profile across patient tissues and cancer cell-line models. SMN1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, SMN1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, SMN1 RNA expression shows 18,060 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, KIRC, and ACC as cancer lineages where SMN1 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 SMN1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMN1 survival associations across molecular data types. SMN1 RNA expression shows survival associations in the most cancer types (23), 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 SMN1 RNA expression–survival associations across cancer types. High SMN1 expression shows unfavorable associations in KIRP, UVM, KICH, LIHC, ACC and ESCA. The KIRP 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 KIRP as the clearest survival context for SMN1 RNA expression.
This table summarizes SMN1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SMN1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMN1 shows higher tumor expression in KIRC, LIHC, HNSC, LUAD, LUSC and STAD. The KIRC box plot shows higher SMN1 RNA expression in tumor versus normal tissue (log2 FC = +0.466, t-test p < 0.001).
This table shows molecular features associated with SMN1 in patient tissues and cancer cell lines. In patient samples, SMN1 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, SMN1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LUNG_NSCLC_LUAD.
