Q-omics provides the consensus-scored GSEC profile across patient tissues and cancer cell-line models. GSEC expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, GSEC is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, GSEC RNA expression shows 18,263 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LUAD, HNSC, and UVM as cancer lineages where GSEC 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 GSEC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GSEC survival associations across molecular data types. GSEC 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 GSEC RNA expression–survival associations across cancer types. High GSEC expression shows unfavorable associations in LUAD, UVM, ACC, KIRC and KIRP, but favorable associations in UCS. The LUAD 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 LUAD as the clearest survival context for GSEC RNA expression.
This table summarizes GSEC 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GSEC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GSEC shows higher tumor expression in HNSC, LIHC, LUAD, COAD, BRCA and LUSC. The HNSC box plot shows higher GSEC RNA expression in tumor versus normal tissue (log2 FC = +1.321, t-test p < 0.001).
This table shows molecular features associated with GSEC in patient tissues and cancer cell lines. In patient samples, GSEC shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
