Q-omics provides the consensus-scored SPOUT1 profile across patient tissues and cancer cell-line models. SPOUT1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SPOUT1 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, SPOUT1 protein abundance shows 24,054 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, COAD, and LSCC as cancer lineages where SPOUT1 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 SPOUT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPOUT1 survival associations across molecular data types. SPOUT1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPOUT1 RNA expression–survival associations across cancer types. High SPOUT1 expression shows unfavorable associations in ACC, SKCM, KIRC, MESO and COAD, but favorable associations in KIRP. 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 SPOUT1 RNA expression.
This table summarizes SPOUT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, 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 SPOUT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPOUT1 shows lower tumor expression in KICH and higher tumor expression in COAD, HNSC, STAD, LIHC and LUSC. The COAD box plot shows higher SPOUT1 RNA expression in tumor versus normal tissue (log2 FC = +1.117, t-test p < 0.001).
This table shows molecular features associated with SPOUT1 in patient tissues and cancer cell lines. In patient samples, SPOUT1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, SPOUT1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Leukemia.
