Q-omics provides the consensus-scored PTGER1 profile across patient tissues and cancer cell-line models. PTGER1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PTGER1 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, PTGER1 RNA expression shows 13,752 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, and TGCT as cancer lineages where PTGER1 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 PTGER1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PTGER1 survival associations across molecular data types. PTGER1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PTGER1 RNA expression–survival associations across cancer types. High PTGER1 expression shows unfavorable associations in KIRC, UVM, UCEC, MESO and SKCM, but favorable associations in CESC. The KIRC 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 KIRC as the clearest survival context for PTGER1 RNA expression.
This table summarizes PTGER1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PTGER1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PTGER1 shows lower tumor expression in KIRC, KICH, KIRP and LUSC and higher tumor expression in THCA and COAD. The KIRC box plot shows higher PTGER1 RNA expression in normal versus tumor tissue (log2 FC = −4.009, t-test p < 0.001).
This table shows molecular features associated with PTGER1 in patient tissues and cancer cell lines. In patient samples, PTGER1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, PTGER1 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 BONE and BLOOD_Leukemia.
