Q-omics provides the consensus-scored PRRX2 profile across patient tissues and cancer cell-line models. PRRX2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PRRX2 is differentially expressed in 14, with the highest sampling consensus in LUAD. Additionally, PRRX2 RNA expression shows 15,019 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight ACC, LUAD, and PDAC as cancer lineages where PRRX2 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 PRRX2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRRX2 survival associations across molecular data types. PRRX2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRRX2 RNA expression–survival associations across cancer types. High PRRX2 expression shows unfavorable associations in ACC, KIRP, UVM, LGG, SKCM and UCEC. 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 PRRX2 RNA expression.
This table summarizes PRRX2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 2. The strongest signals are observed in LUAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PRRX2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRRX2 shows lower tumor expression in KICH and higher tumor expression in LUAD, HNSC, LUSC, COAD and KIRC. The LUAD box plot shows higher PRRX2 RNA expression in tumor versus normal tissue (log2 FC = +2.138, t-test p < 0.001).
This table shows molecular features associated with PRRX2 in patient tissues and cancer cell lines. In patient samples, PRRX2 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, PRRX2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Lymphoma.
