Q-omics provides the consensus-scored SATB2-AS1 profile across patient tissues and cancer cell-line models. SATB2-AS1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, SATB2-AS1 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, SATB2-AS1 RNA expression shows 17,571 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BLCA, COAD, and ACC as cancer lineages where SATB2-AS1 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 SATB2-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SATB2-AS1 survival associations across molecular data types. SATB2-AS1 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SATB2-AS1 RNA expression–survival associations across cancer types. High SATB2-AS1 expression shows unfavorable associations in BLCA, MESO, LUAD and ACC, but favorable associations in KIRC and KIRP. The BLCA 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 BLCA as the clearest survival context for SATB2-AS1 RNA expression.
This table summarizes SATB2-AS1 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 COAD for RNA.
This table ranks reproducible tumor–normal expression differences for SATB2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SATB2-AS1 shows lower tumor expression in COAD and KICH and higher tumor expression in HNSC, KIRP, LUAD and BLCA. The COAD box plot shows higher SATB2-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.546, t-test p < 0.001).
This table shows molecular features associated with SATB2-AS1 in patient tissues and cancer cell lines. In patient samples, SATB2-AS1 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, SATB2-AS1 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 UPPER_AERODIGESTIVE_TRACT.
