Q-omics provides the consensus-scored TGIF2P1 profile across patient tissues and cancer cell-line models. TGIF2P1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, TGIF2P1 is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, TGIF2P1 RNA expression shows 12,070 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, and UVM as cancer lineages where TGIF2P1 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 TGIF2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TGIF2P1 survival associations across molecular data types. TGIF2P1 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 TGIF2P1 RNA expression–survival associations across cancer types. High TGIF2P1 expression shows unfavorable associations in THCA, CESC, KICH, KIRP and DLBC, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify HNSC as the clearest survival context for TGIF2P1 RNA expression.
This table summarizes TGIF2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TGIF2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TGIF2P1 shows lower tumor expression in THCA, LUAD and STAD and higher tumor expression in HNSC and CHOL. The HNSC box plot shows higher TGIF2P1 RNA expression in tumor versus normal tissue (log2 FC = +0.106, t-test p = .003).
This table shows molecular features associated with TGIF2P1 in patient tissues and cancer cell lines. In patient samples, TGIF2P1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
