Q-omics provides the consensus-scored PECAM1 profile across patient tissues and cancer cell-line models. PECAM1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PECAM1 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, PECAM1 protein abundance shows 26,749 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where PECAM1 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 PECAM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PECAM1 survival associations across molecular data types. PECAM1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PECAM1 RNA expression–survival associations across cancer types. High PECAM1 expression shows unfavorable associations in UVM, KIRP, MESO and LGG, but favorable associations in KIRC and HNSC. 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 PECAM1 RNA expression.
This table summarizes PECAM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PECAM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PECAM1 shows lower tumor expression in KICH, LUSC, LUAD and KIRP and higher tumor expression in KIRC and LIHC. The KIRC box plot shows higher PECAM1 RNA expression in tumor versus normal tissue (log2 FC = +1.711, t-test p < 0.001).
This table shows molecular features associated with PECAM1 in patient tissues and cancer cell lines. In patient samples, PECAM1 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, PECAM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and STOMACH.
