YTH N6-methyladenosine RNA binding protein F1Genealiases: C20orf21 · DF1
Q-omics provides the consensus-scored YTHDF1 profile across patient tissues and cancer cell-line models. YTHDF1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, YTHDF1 is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, YTHDF1 RNA expression shows 19,793 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, HNSC, and ACC as cancer lineages where YTHDF1 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 YTHDF1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YTHDF1 survival associations across molecular data types. YTHDF1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YTHDF1 RNA expression–survival associations across cancer types. High YTHDF1 expression shows unfavorable associations in LIHC, MESO, LGG, UVM, ACC and KICH. The LIHC 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 LIHC as the clearest survival context for YTHDF1 RNA expression.
This table summarizes YTHDF1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for YTHDF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YTHDF1 shows higher tumor expression in HNSC, COAD, LIHC, KIRP, STAD and BLCA. The HNSC box plot shows higher YTHDF1 RNA expression in tumor versus normal tissue (log2 FC = +1.069, t-test p < 0.001).
This table shows molecular features associated with YTHDF1 in patient tissues and cancer cell lines. In patient samples, YTHDF1 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, YTHDF1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
