trafficking from ER to golgi regulatorGenealiases: HMSNP · SPG57 · TF6 · TRKT3
Q-omics provides the consensus-scored TFG profile across patient tissues and cancer cell-line models. TFG expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, TFG is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, TFG protein abundance shows 30,051 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KICH, HNSC, and PDAC as cancer lineages where TFG 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 TFG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TFG survival associations across molecular data types. TFG RNA expression shows survival associations in the most cancer types (26), followed by mutation status (2) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TFG RNA expression–survival associations across cancer types. High TFG expression shows unfavorable associations in KICH, PAAD, ACC, LUAD and LIHC, but favorable associations in UCS. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify KICH as the clearest survival context for TFG RNA expression.
This table summarizes TFG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 8. The strongest signals are observed in HNSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for TFG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TFG shows higher tumor expression in HNSC, BLCA, LUAD, KIRC, LIHC and KIRP. The HNSC box plot shows higher TFG RNA expression in tumor versus normal tissue (log2 FC = +1.038, t-test p < 0.001).
This table shows molecular features associated with TFG in patient tissues and cancer cell lines. In patient samples, TFG shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, TFG RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Lymphoma.
