Q-omics provides the consensus-scored TEX38 profile across patient tissues and cancer cell-line models. TEX38 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in PAAD. Among the 18 cancer types available for tumor–normal comparison, TEX38 is differentially expressed in 12, with the highest sampling consensus in LIHC. Additionally, TEX38 RNA expression shows 14,154 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight PAAD, LIHC, and LAML as cancer lineages where TEX38 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 TEX38 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TEX38 survival associations across molecular data types. TEX38 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TEX38 RNA expression–survival associations across cancer types. High TEX38 expression shows unfavorable associations in BLCA and COAD, but favorable associations in PAAD, ACC, SKCM and SCLC. The PAAD Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify PAAD as the clearest survival context for TEX38 RNA expression.
This table summarizes TEX38 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for TEX38. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEX38 shows lower tumor expression in KICH and KIRC and higher tumor expression in LIHC, BLCA, CHOL and THCA. The LIHC box plot shows higher TEX38 RNA expression in tumor versus normal tissue (log2 FC = +0.123, t-test p < 0.001).
This table shows molecular features associated with TEX38 in patient tissues and cancer cell lines. In patient samples, TEX38 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set. In cancer cell lines, TEX38 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
