Q-omics provides the consensus-scored RNA5SP383 profile across patient tissues and cancer cell-line models. RNA5SP383 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RNA5SP383 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, RNA5SP383 RNA expression shows 14,916 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where RNA5SP383 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 RNA5SP383 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNA5SP383 survival associations across molecular data types. RNA5SP383 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNA5SP383 RNA expression–survival associations across cancer types. High RNA5SP383 expression shows unfavorable associations in KIRC, ACC, STAD, UCEC and COAD, but favorable associations in BLCA. The KIRC 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 KIRC as the clearest survival context for RNA5SP383 RNA expression.
This table summarizes RNA5SP383 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNA5SP383. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNA5SP383 shows lower tumor expression in BRCA and higher tumor expression in HNSC, BLCA, LIHC, CHOL and KIRC. The HNSC box plot shows higher RNA5SP383 RNA expression in tumor versus normal tissue (log2 FC = +0.495, t-test p < 0.001).
This table shows molecular features associated with RNA5SP383 in patient tissues and cancer cell lines. In patient samples, RNA5SP383 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
