Q-omics provides the consensus-scored RN7SL8P profile across patient tissues and cancer cell-line models. RN7SL8P expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, RN7SL8P is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, RN7SL8P RNA expression shows 13,746 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight DLBC, KICH, and TGCT as cancer lineages where RN7SL8P 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 RN7SL8P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SL8P survival associations across molecular data types. RN7SL8P 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 RN7SL8P RNA expression–survival associations across cancer types. High RN7SL8P expression shows unfavorable associations in DLBC, BRCA and UCEC, but favorable associations in KIRC, OV and MESO. The DLBC 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 DLBC as the clearest survival context for RN7SL8P RNA expression.
This table summarizes RN7SL8P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SL8P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SL8P shows lower tumor expression in KICH, LUAD, KIRC, LUSC and KIRP and higher tumor expression in CHOL. The KICH box plot shows higher RN7SL8P RNA expression in normal versus tumor tissue (log2 FC = −2.875, t-test p < 0.001).
This table shows molecular features associated with RN7SL8P in patient tissues and cancer cell lines. In patient samples, RN7SL8P shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
