Q-omics provides the consensus-scored GAST profile across patient tissues and cancer cell-line models. GAST expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, GAST is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, GAST RNA expression shows 10,931 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, HNSC, and LSCC as cancer lineages where GAST 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 GAST — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GAST survival associations across molecular data types. GAST RNA expression shows survival associations in the most cancer types (17), 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 GAST RNA expression–survival associations across cancer types. High GAST expression shows unfavorable associations in UVM, COAD, LIHC, BRCA, THCA and KICH. 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 GAST RNA expression.
This table summarizes GAST tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GAST. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GAST shows lower tumor expression in BRCA and higher tumor expression in HNSC, LUSC, COAD, LUAD and LIHC. The HNSC box plot shows higher GAST RNA expression in tumor versus normal tissue (log2 FC = +3.158, t-test p < 0.001).
This table shows molecular features associated with GAST in patient tissues and cancer cell lines. In patient samples, GAST 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, GAST RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and LARGE_INTESTINE.
