centromere protein V like 1Genealiases: CENPVP1 · PRR6L1
Q-omics provides the consensus-scored CENPVL1 profile across patient tissues and cancer cell-line models. CENPVL1 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in READ. Additionally, CENPVL1 RNA expression shows 3,635 significant gene co-expression associations, with the highest sampling consensus in LUSC. Together, these results highlight READ, and LUSC as cancer lineages where CENPVL1 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 CENPVL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPVL1 survival associations across molecular data types. CENPVL1 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPVL1 RNA expression–survival associations across cancer types. High CENPVL1 expression shows unfavorable associations in READ, HNSC, THCA, SKCM, BLCA and PAAD. The READ 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 READ as the clearest survival context for CENPVL1 RNA expression.
This table shows molecular features associated with CENPVL1 in patient tissues and cancer cell lines. In patient samples, CENPVL1 shows the broadest associations at the RNA and protein expression levels, with LUSC recurring as the lineage with the largest associated feature set. In cancer cell lines, CENPVL1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE.
