Q-omics provides the consensus-scored TFGP1 profile across patient tissues and cancer cell-line models. TFGP1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, TFGP1 is differentially expressed in 7, with the highest sampling consensus in UCEC. Additionally, TFGP1 RNA expression shows 9,924 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KICH, UCEC, and LUAD as cancer lineages where TFGP1 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 TFGP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TFGP1 survival associations across molecular data types. TFGP1 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TFGP1 RNA expression–survival associations across cancer types. High TFGP1 expression shows unfavorable associations in KICH, THYM, OV, CHOL and UVM, but favorable associations in HNSC. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KICH as the clearest survival context for TFGP1 RNA expression.
This table summarizes TFGP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TFGP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TFGP1 shows lower tumor expression in KIRP and higher tumor expression in UCEC, HNSC, COAD, BRCA and KICH. The UCEC box plot shows higher TFGP1 RNA expression in tumor versus normal tissue (log2 FC = +0.102, t-test p = .003).
This table shows molecular features associated with TFGP1 in patient tissues and cancer cell lines. In patient samples, TFGP1 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
