Yip1 domain family member 4Genealiases: FinGER4 · Nbla11189 · YIPFalpha2
Q-omics provides the consensus-scored YIPF4 profile across patient tissues and cancer cell-line models. YIPF4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, YIPF4 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, YIPF4 RNA expression shows 20,773 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where YIPF4 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 YIPF4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YIPF4 survival associations across molecular data types. YIPF4 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YIPF4 RNA expression–survival associations across cancer types. High YIPF4 expression shows unfavorable associations in ACC, KIRP, MESO, UCEC and CESC, but favorable associations in KIRC. The ACC 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 ACC as the clearest survival context for YIPF4 RNA expression.
This table summarizes YIPF4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 10. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for YIPF4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YIPF4 shows lower tumor expression in THCA, KICH and UCEC and higher tumor expression in HNSC, LIHC and BLCA. The HNSC box plot shows higher YIPF4 RNA expression in tumor versus normal tissue (log2 FC = +0.492, t-test p < 0.001).
This table shows molecular features associated with YIPF4 in patient tissues and cancer cell lines. In patient samples, YIPF4 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, YIPF4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BONE and UPPER_AERODIGESTIVE_TRACT.
