Q-omics provides the consensus-scored TCEA1P2 profile across patient tissues and cancer cell-line models. TCEA1P2 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, TCEA1P2 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, TCEA1P2 RNA expression shows 20,096 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight CESC, HNSC, and UVM as cancer lineages where TCEA1P2 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 TCEA1P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TCEA1P2 survival associations across molecular data types. TCEA1P2 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TCEA1P2 RNA expression–survival associations across cancer types. High TCEA1P2 expression shows unfavorable associations in CESC, UVM and STAD, but favorable associations in UCS, KIRC and SKCM. The CESC 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 CESC as the clearest survival context for TCEA1P2 RNA expression.
This table summarizes TCEA1P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TCEA1P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TCEA1P2 shows lower tumor expression in THCA and higher tumor expression in HNSC, LUAD, BRCA, KIRP and LUSC. The HNSC box plot shows higher TCEA1P2 RNA expression in tumor versus normal tissue (log2 FC = +0.959, t-test p < 0.001).
This table shows molecular features associated with TCEA1P2 in patient tissues and cancer cell lines. In patient samples, TCEA1P2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
