protein O-fucosyltransferase 2Genealiases: C21orf80 · FUT13
Q-omics provides the consensus-scored POFUT2 profile across patient tissues and cancer cell-line models. POFUT2 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, POFUT2 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, POFUT2 RNA expression shows 20,350 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where POFUT2 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 POFUT2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POFUT2 survival associations across molecular data types. POFUT2 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POFUT2 RNA expression–survival associations across cancer types. High POFUT2 expression shows unfavorable associations in KIRC, COAD, MESO, ACC, CESC and UVM. The KIRC 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 KIRC as the clearest survival context for POFUT2 RNA expression.
This table summarizes POFUT2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for POFUT2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POFUT2 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRC, COAD, LIHC and LUAD. The HNSC box plot shows higher POFUT2 RNA expression in tumor versus normal tissue (log2 FC = +0.976, t-test p < 0.001).
This table shows molecular features associated with POFUT2 in patient tissues and cancer cell lines. In patient samples, POFUT2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, POFUT2 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 SKIN and BONE.
