Q-omics provides the consensus-scored PRNT profile across patient tissues and cancer cell-line models. PRNT expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, PRNT is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, PRNT RNA expression shows 6,255 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight THCA, ESCA, and STAD as cancer lineages where PRNT 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 PRNT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRNT survival associations across molecular data types. PRNT RNA expression shows survival associations in the most cancer types (13), 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 PRNT RNA expression–survival associations across cancer types. High PRNT expression shows unfavorable associations in THCA, BLCA, COAD, LUSC, ACC and STAD. The THCA 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 THCA as the clearest survival context for PRNT RNA expression.
This table summarizes PRNT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for PRNT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRNT shows higher tumor expression in ESCA. The ESCA box plot shows higher PRNT RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .037).
This table shows molecular features associated with PRNT in patient tissues and cancer cell lines. In patient samples, PRNT shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, PRNT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE.
