Q-omics provides the consensus-scored RNA5SP137 profile across patient tissues and cancer cell-line models. RNA5SP137 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RNA5SP137 is differentially expressed in 1, with the highest sampling consensus in THCA. Additionally, RNA5SP137 RNA expression shows 4,815 significant pathway-activity associations, with the highest sampling consensus in THCA. Together, these results highlight LIHC, and THCA as cancer lineages where RNA5SP137 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 RNA5SP137 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNA5SP137 survival associations across molecular data types. RNA5SP137 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNA5SP137 RNA expression–survival associations across cancer types. High RNA5SP137 expression shows unfavorable associations in LIHC, SKCM, ACC, ESCA, STAD and BLCA. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify LIHC as the clearest survival context for RNA5SP137 RNA expression.
This table summarizes RNA5SP137 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RNA5SP137. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNA5SP137 shows lower tumor expression in THCA. The THCA box plot shows higher RNA5SP137 RNA expression in normal versus tumor tissue (log2 FC = −0.301, t-test p < 0.001).
This table shows molecular features associated with RNA5SP137 in patient tissues and cancer cell lines. In patient samples, RNA5SP137 shows the broadest associations at the RNA and protein expression levels, with THCA recurring as the lineage with the largest associated feature set.
