Q-omics provides the consensus-scored PWP1 profile across patient tissues and cancer cell-line models. PWP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PWP1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, PWP1 protein abundance shows 24,356 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, and GBM as cancer lineages where PWP1 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 PWP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PWP1 survival associations across molecular data types. PWP1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (1) 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 PWP1 RNA expression–survival associations across cancer types. High PWP1 expression shows unfavorable associations in HNSC, MESO, ACC, LUAD, UVM and LIHC. The HNSC 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 HNSC as the clearest survival context for PWP1 RNA expression.
This table summarizes PWP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 9. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PWP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PWP1 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRC, COAD, LIHC and KIRP. The HNSC box plot shows higher PWP1 RNA expression in tumor versus normal tissue (log2 FC = +0.883, t-test p < 0.001).
This table shows molecular features associated with PWP1 in patient tissues and cancer cell lines. In patient samples, PWP1 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, PWP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BLOOD_Lymphoma.
