Q-omics provides the consensus-scored OOEPP1 profile across patient tissues and cancer cell-line models. OOEPP1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, OOEPP1 is differentially expressed in 2, with the highest sampling consensus in STAD. Additionally, OOEPP1 RNA expression shows 8,247 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LUSC, STAD, and LSCC as cancer lineages where OOEPP1 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 OOEPP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OOEPP1 survival associations across molecular data types. OOEPP1 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OOEPP1 RNA expression–survival associations across cancer types. High OOEPP1 expression shows unfavorable associations in LUSC, LIHC, THCA, PCPG and KIRC, but favorable associations in KICH. The LUSC 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 LUSC as the clearest survival context for OOEPP1 RNA expression.
This table summarizes OOEPP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for OOEPP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OOEPP1 shows higher tumor expression in STAD and ESCA. The STAD box plot shows higher OOEPP1 RNA expression in tumor versus normal tissue (log2 FC = +0.139, t-test p = .037).
This table shows molecular features associated with OOEPP1 in patient tissues and cancer cell lines. In patient samples, OOEPP1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
