piwi like RNA-mediated gene silencing 2Genealiases: CT80 · HILI · PIWIL1L · mili
Q-omics provides the consensus-scored PIWIL2 profile across patient tissues and cancer cell-line models. PIWIL2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PIWIL2 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, PIWIL2 RNA expression shows 16,530 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, THCA, and TGCT as cancer lineages where PIWIL2 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 PIWIL2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PIWIL2 survival associations across molecular data types. PIWIL2 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PIWIL2 RNA expression–survival associations across cancer types. High PIWIL2 expression shows unfavorable associations in KIRP, THCA, ACC, BLCA and KICH, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify HNSC as the clearest survival context for PIWIL2 RNA expression.
This table summarizes PIWIL2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for PIWIL2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PIWIL2 shows lower tumor expression in THCA, BRCA, KICH, UCEC, KIRP and READ. The THCA box plot shows higher PIWIL2 RNA expression in normal versus tumor tissue (log2 FC = −0.881, t-test p < 0.001).
This table shows molecular features associated with PIWIL2 in patient tissues and cancer cell lines. In patient samples, PIWIL2 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, PIWIL2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
