Q-omics provides the consensus-scored POP7 profile across patient tissues and cancer cell-line models. POP7 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, POP7 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, POP7 RNA expression shows 19,747 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where POP7 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 POP7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POP7 survival associations across molecular data types. POP7 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POP7 RNA expression–survival associations across cancer types. High POP7 expression shows unfavorable associations in UVM, KICH, ACC, KIRC, LIHC and UCEC. 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 POP7 RNA expression.
This table summarizes POP7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for POP7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POP7 shows higher tumor expression in HNSC, KIRC, COAD, BLCA, KIRP and LUAD. The HNSC box plot shows higher POP7 RNA expression in tumor versus normal tissue (log2 FC = +1.349, t-test p < 0.001).
This table shows molecular features associated with POP7 in patient tissues and cancer cell lines. In patient samples, POP7 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, POP7 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 LUNG_SCLC and SKIN.
