Q-omics provides the consensus-scored P4HA2 profile across patient tissues and cancer cell-line models. P4HA2 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, P4HA2 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, P4HA2 protein abundance shows 35,373 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KIRP, HNSC, and LUAD as cancer lineages where P4HA2 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 P4HA2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes P4HA2 survival associations across molecular data types. P4HA2 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (9) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible P4HA2 RNA expression–survival associations across cancer types. High P4HA2 expression shows unfavorable associations in KIRP, HNSC, UVM, CESC, BRCA and BLCA. The KIRP 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 KIRP as the clearest survival context for P4HA2 RNA expression.
This table summarizes P4HA2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 14. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for P4HA2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. P4HA2 shows higher tumor expression in HNSC, KIRC, THCA, LIHC, BRCA and CHOL. The HNSC box plot shows higher P4HA2 RNA expression in tumor versus normal tissue (log2 FC = +2.520, t-test p < 0.001).
This table shows molecular features associated with P4HA2 in patient tissues and cancer cell lines. In patient samples, P4HA2 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, P4HA2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BONE and BREAST.
