Q-omics provides the consensus-scored POP4 profile across patient tissues and cancer cell-line models. POP4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, POP4 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, POP4 protein abundance shows 27,233 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, HNSC, and GBM as cancer lineages where POP4 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 POP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POP4 survival associations across molecular data types. POP4 RNA expression shows survival associations in the most cancer types (24), followed by 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 POP4 RNA expression–survival associations across cancer types. High POP4 expression shows unfavorable associations in UVM, LGG, LIHC, ACC and KICH, but favorable associations in KIRC. The UVM 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 UVM as the clearest survival context for POP4 RNA expression.
This table summarizes POP4 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 7. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for POP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POP4 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRC, BLCA, KIRP and LIHC. The HNSC box plot shows higher POP4 RNA expression in tumor versus normal tissue (log2 FC = +0.431, t-test p < 0.001).
This table shows molecular features associated with POP4 in patient tissues and cancer cell lines. In patient samples, POP4 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, POP4 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_Lymphoma and SKIN.
