Q-omics provides the consensus-scored RN7SL168P profile across patient tissues and cancer cell-line models. RN7SL168P expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RN7SL168P is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, RN7SL168P RNA expression shows 6,444 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight READ, KICH, and STAD as cancer lineages where RN7SL168P 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 RN7SL168P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SL168P survival associations across molecular data types. RN7SL168P RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SL168P RNA expression–survival associations across cancer types. High RN7SL168P expression shows unfavorable associations in READ, PAAD, KIRC, UCEC and SKCM, but favorable associations in LIHC. The READ 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 READ as the clearest survival context for RN7SL168P RNA expression.
This table summarizes RN7SL168P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SL168P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SL168P shows lower tumor expression in KICH and higher tumor expression in HNSC and LUAD. The KICH box plot shows higher RN7SL168P RNA expression in normal versus tumor tissue (log2 FC = −0.136, t-test p = .018).
This table shows molecular features associated with RN7SL168P in patient tissues and cancer cell lines. In patient samples, RN7SL168P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
