Q-omics provides the consensus-scored POP1 profile across patient tissues and cancer cell-line models. POP1 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, POP1 is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, POP1 protein abundance shows 29,329 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, HNSC, and GBM as cancer lineages where POP1 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 POP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POP1 survival associations across molecular data types. POP1 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (8) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POP1 RNA expression–survival associations across cancer types. High POP1 expression shows unfavorable associations in MESO, UVM, ACC, KIRP, LIHC and BRCA. The MESO 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 MESO as the clearest survival context for POP1 RNA expression.
This table summarizes POP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, 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 POP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POP1 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRC, STAD, COAD and LIHC. The HNSC box plot shows higher POP1 RNA expression in tumor versus normal tissue (log2 FC = +1.098, t-test p < 0.001).
This table shows molecular features associated with POP1 in patient tissues and cancer cell lines. In patient samples, POP1 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, POP1 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 BREAST and UPPER_AERODIGESTIVE_TRACT.
