Q-omics provides the consensus-scored SKP1P1 profile across patient tissues and cancer cell-line models. SKP1P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SKP1P1 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, SKP1P1 RNA expression shows 19,464 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where SKP1P1 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 SKP1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SKP1P1 survival associations across molecular data types. SKP1P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SKP1P1 RNA expression–survival associations across cancer types. High SKP1P1 expression shows unfavorable associations in KIRC, OV, KICH, UVM and STAD, but favorable associations in UCS. 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 SKP1P1 RNA expression.
This table summarizes SKP1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for SKP1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SKP1P1 shows lower tumor expression in THCA and higher tumor expression in COAD, LUAD, LIHC, BRCA and READ. The COAD box plot shows higher SKP1P1 RNA expression in tumor versus normal tissue (log2 FC = +1.386, t-test p < 0.001).
This table shows molecular features associated with SKP1P1 in patient tissues and cancer cell lines. In patient samples, SKP1P1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
