Q-omics provides the consensus-scored TEX46 profile across patient tissues and cancer cell-line models. TEX46 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, TEX46 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, TEX46 RNA expression shows 11,369 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ESCA, HNSC, and TGCT as cancer lineages where TEX46 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 TEX46 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TEX46 survival associations across molecular data types. TEX46 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TEX46 RNA expression–survival associations across cancer types. High TEX46 expression shows unfavorable associations in OV, BLCA, KIRC and LUAD, but favorable associations in ESCA and MESO. The ESCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .006). Together, the overview and detailed table identify ESCA as the clearest survival context for TEX46 RNA expression.
This table summarizes TEX46 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 TEX46. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEX46 shows higher tumor expression in HNSC, BLCA, COAD, LUSC, LIHC and LUAD. The HNSC box plot shows higher TEX46 RNA expression in tumor versus normal tissue (log2 FC = +0.202, t-test p < 0.001).
This table shows molecular features associated with TEX46 in patient tissues and cancer cell lines. In patient samples, TEX46 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, TEX46 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and LARGE_INTESTINE.
