Q-omics provides the consensus-scored PEBP4 profile across patient tissues and cancer cell-line models. PEBP4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PEBP4 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, PEBP4 protein abundance shows 30,348 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where PEBP4 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 PEBP4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PEBP4 survival associations across molecular data types. PEBP4 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (1) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PEBP4 RNA expression–survival associations across cancer types. High PEBP4 expression shows favorable associations in KIRC, LIHC, BRCA, CESC, LUAD and ACC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for PEBP4 RNA expression.
This table summarizes PEBP4 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 9. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PEBP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PEBP4 shows lower tumor expression in KIRC, BLCA, KIRP, COAD, LUAD and LUSC. The KIRC box plot shows higher PEBP4 RNA expression in normal versus tumor tissue (log2 FC = −0.659, t-test p < 0.001).
This table shows molecular features associated with PEBP4 in patient tissues and cancer cell lines. In patient samples, PEBP4 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, PEBP4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
