piwi like RNA-mediated gene silencing 4Genealiases: HIWI2 · MIWI2
Q-omics provides the consensus-scored PIWIL4 profile across patient tissues and cancer cell-line models. PIWIL4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PIWIL4 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, PIWIL4 protein abundance shows 19,797 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, KICH, and GBM as cancer lineages where PIWIL4 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 PIWIL4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIWIL4 survival associations across molecular data types. PIWIL4 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIWIL4 RNA expression–survival associations across cancer types. High PIWIL4 expression shows unfavorable associations in ACC, UVM and LGG, but favorable associations in HNSC, CHOL and UCS. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for PIWIL4 RNA expression.
This table summarizes PIWIL4 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 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PIWIL4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIWIL4 shows lower tumor expression in KICH, THCA, BLCA and UCEC and higher tumor expression in KIRC and COAD. The KICH box plot shows higher PIWIL4 RNA expression in normal versus tumor tissue (log2 FC = −1.080, t-test p < 0.001).
This table shows molecular features associated with PIWIL4 in patient tissues and cancer cell lines. In patient samples, PIWIL4 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PIWIL4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
