Q-omics provides the consensus-scored TEX13A profile across patient tissues and cancer cell-line models. TEX13A expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in THCA. Additionally, TEX13A RNA expression shows 7,377 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight THCA, and TGCT as cancer lineages where TEX13A 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 TEX13A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TEX13A survival associations across molecular data types. TEX13A RNA expression shows survival associations in the most cancer types (13), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TEX13A RNA expression–survival associations across cancer types. High TEX13A expression shows unfavorable associations in THCA, READ, LIHC, LUSC and ACC, but favorable associations in BLCA. The THCA 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 THCA as the clearest survival context for TEX13A RNA expression.
This table shows molecular features associated with TEX13A in patient tissues and cancer cell lines. In patient samples, TEX13A 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, TEX13A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Lymphoma.
