Q-omics provides the consensus-scored RN7SL684P profile across patient tissues and cancer cell-line models. RN7SL684P expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, RN7SL684P is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, RN7SL684P RNA expression shows 9,069 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight CESC, KICH, and ESCA as cancer lineages where RN7SL684P 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 RN7SL684P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SL684P survival associations across molecular data types. RN7SL684P RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SL684P RNA expression–survival associations across cancer types. High RN7SL684P expression shows unfavorable associations in PRAD and UCEC, but favorable associations in CESC, HNSC, MESO and THCA. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify CESC as the clearest survival context for RN7SL684P RNA expression.
This table summarizes RN7SL684P 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SL684P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SL684P shows higher tumor expression in KICH, STAD, LUSC, LUAD and CHOL. The KICH box plot shows higher RN7SL684P RNA expression in tumor versus normal tissue (log2 FC = +1.174, t-test p < 0.001).
This table shows molecular features associated with RN7SL684P in patient tissues and cancer cell lines. In patient samples, RN7SL684P shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
