Q-omics provides the consensus-scored RPLP1P6 profile across patient tissues and cancer cell-line models. RPLP1P6 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, RPLP1P6 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, RPLP1P6 RNA expression shows 15,372 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight SKCM, KIRC, and THYM as cancer lineages where RPLP1P6 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 RPLP1P6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPLP1P6 survival associations across molecular data types. RPLP1P6 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPLP1P6 RNA expression–survival associations across cancer types. High RPLP1P6 expression shows unfavorable associations in LUAD, STAD, KIRC and KICH, but favorable associations in SKCM and MESO. The SKCM 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 SKCM as the clearest survival context for RPLP1P6 RNA expression.
This table summarizes RPLP1P6 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for RPLP1P6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPLP1P6 shows lower tumor expression in BLCA, BRCA and KICH and higher tumor expression in KIRC, KIRP and COAD. The KIRC box plot shows higher RPLP1P6 RNA expression in tumor versus normal tissue (log2 FC = +1.272, t-test p < 0.001).
This table shows molecular features associated with RPLP1P6 in patient tissues and cancer cell lines. In patient samples, RPLP1P6 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
