Q-omics provides the consensus-scored GSN-AS1 profile across patient tissues and cancer cell-line models. GSN-AS1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, GSN-AS1 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, GSN-AS1 RNA expression shows 19,003 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and HNSC as cancer lineages where GSN-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 GSN-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GSN-AS1 survival associations across molecular data types. GSN-AS1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GSN-AS1 RNA expression–survival associations across cancer types. High GSN-AS1 expression shows unfavorable associations in UVM, LGG, BLCA, THCA and OV, but favorable associations in HNSC. The UVM 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 UVM as the clearest survival context for GSN-AS1 RNA expression.
This table summarizes GSN-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GSN-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GSN-AS1 shows lower tumor expression in READ, COAD and LUSC and higher tumor expression in HNSC, CHOL and LIHC. The HNSC box plot shows higher GSN-AS1 RNA expression in tumor versus normal tissue (log2 FC = +0.128, t-test p < 0.001).
This table shows molecular features associated with GSN-AS1 in patient tissues and cancer cell lines. In patient samples, GSN-AS1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, GSN-AS1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
