prostate cancer associated transcript 1Genealiases: PCA1 · PCAT-1 · PiHL
Q-omics provides the consensus-scored PCAT1 profile across patient tissues and cancer cell-line models. PCAT1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PCAT1 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, PCAT1 RNA expression shows 14,045 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, COAD, and KIRP as cancer lineages where PCAT1 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 PCAT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PCAT1 survival associations across molecular data types. PCAT1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PCAT1 RNA expression–survival associations across cancer types. High PCAT1 expression shows unfavorable associations in ACC, LIHC and LGG, but favorable associations in HNSC, ESCA and KIRC. 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 PCAT1 RNA expression.
This table summarizes PCAT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PCAT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PCAT1 shows higher tumor expression in COAD, STAD, READ, HNSC, LUSC and UCEC. The COAD box plot shows higher PCAT1 RNA expression in tumor versus normal tissue (log2 FC = +0.303, t-test p < 0.001).
This table shows molecular features associated with PCAT1 in patient tissues and cancer cell lines. In patient samples, PCAT1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
