Q-omics provides the consensus-scored RNA5SP160 profile across patient tissues and cancer cell-line models. RNA5SP160 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RNA5SP160 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, RNA5SP160 RNA expression shows 12,032 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight KIRC, HNSC, and CCRCC as cancer lineages where RNA5SP160 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 RNA5SP160 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNA5SP160 survival associations across molecular data types. RNA5SP160 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNA5SP160 RNA expression–survival associations across cancer types. High RNA5SP160 expression shows unfavorable associations in KIRC, ACC, OV, MESO and HNSC, but favorable associations in ESCA. 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 RNA5SP160 RNA expression.
This table summarizes RNA5SP160 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNA5SP160. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNA5SP160 shows lower tumor expression in THCA and higher tumor expression in HNSC, ESCA, STAD, BRCA and PRAD. The HNSC box plot shows higher RNA5SP160 RNA expression in tumor versus normal tissue (log2 FC = +0.283, t-test p < 0.001).
This table shows molecular features associated with RNA5SP160 in patient tissues and cancer cell lines. In patient samples, RNA5SP160 shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set.
