POC1 centriolar protein AGenealiases: PIX2 · SOFT · WDR51A
Q-omics provides the consensus-scored POC1A profile across patient tissues and cancer cell-line models. POC1A expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, POC1A is differentially expressed in 17, with the highest sampling consensus in BLCA. Additionally, POC1A RNA expression shows 22,014 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, BLCA, and LSCC as cancer lineages where POC1A 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 POC1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes POC1A survival associations across molecular data types. POC1A RNA expression shows survival associations in the most cancer types (28), followed by mutation status (1) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible POC1A RNA expression–survival associations across cancer types. High POC1A expression shows unfavorable associations in ACC, MESO, KIRP, KICH and KIRC, but favorable associations in SCLC. The ACC 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 ACC as the clearest survival context for POC1A RNA expression.
This table summarizes POC1A 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 1. The strongest signals are observed in KIRP for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for POC1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POC1A shows higher tumor expression in BLCA, COAD, KIRP, LUAD, LIHC and HNSC. The BLCA box plot shows higher POC1A RNA expression in tumor versus normal tissue (log2 FC = +2.224, t-test p < 0.001).
This table shows molecular features associated with POC1A in patient tissues and cancer cell lines. In patient samples, POC1A shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, POC1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
