Q-omics provides the consensus-scored RNF2P1 profile across patient tissues and cancer cell-line models. RNF2P1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RNF2P1 is differentially expressed in 14, with the highest sampling consensus in KIRP. Additionally, RNF2P1 RNA expression shows 14,520 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KICH, KIRP, and TGCT as cancer lineages where RNF2P1 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 RNF2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNF2P1 survival associations across molecular data types. RNF2P1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNF2P1 RNA expression–survival associations across cancer types. High RNF2P1 expression shows unfavorable associations in KICH, ACC, UCEC, LIHC and KIRC, but favorable associations in BLCA. The KICH 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 KICH as the clearest survival context for RNF2P1 RNA expression.
This table summarizes RNF2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for RNF2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNF2P1 shows lower tumor expression in KICH and THCA and higher tumor expression in KIRP, HNSC, LIHC and COAD. The KIRP box plot shows higher RNF2P1 RNA expression in tumor versus normal tissue (log2 FC = +0.558, t-test p = .002).
This table shows molecular features associated with RNF2P1 in patient tissues and cancer cell lines. In patient samples, RNF2P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
