Q-omics provides the consensus-scored RN7SL322P profile across patient tissues and cancer cell-line models. RN7SL322P expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RN7SL322P is differentially expressed in 5, with the highest sampling consensus in LIHC. Additionally, RN7SL322P RNA expression shows 6,070 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UCEC, LIHC, and STAD as cancer lineages where RN7SL322P 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 RN7SL322P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SL322P survival associations across molecular data types. RN7SL322P 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 RN7SL322P RNA expression–survival associations across cancer types. High RN7SL322P expression shows unfavorable associations in UCEC, READ, KIRC, MESO, THCA and DLBC. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify UCEC as the clearest survival context for RN7SL322P RNA expression.
This table summarizes RN7SL322P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SL322P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SL322P shows lower tumor expression in KIRP and COAD and higher tumor expression in LIHC, PRAD and LUAD. The LIHC box plot shows higher RN7SL322P RNA expression in tumor versus normal tissue (log2 FC = +0.069, t-test p = .010).
This table shows molecular features associated with RN7SL322P in patient tissues and cancer cell lines. In patient samples, RN7SL322P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
