Q-omics provides the consensus-scored CBX1P2 profile across patient tissues and cancer cell-line models. CBX1P2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, CBX1P2 is differentially expressed in 7, with the highest sampling consensus in HNSC. Additionally, CBX1P2 RNA expression shows 16,636 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LUAD, HNSC, and GBM as cancer lineages where CBX1P2 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 CBX1P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CBX1P2 survival associations across molecular data types. CBX1P2 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 CBX1P2 RNA expression–survival associations across cancer types. High CBX1P2 expression shows unfavorable associations in LUAD, KICH, OV and SKCM, but favorable associations in LGG and READ. The LUAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify LUAD as the clearest survival context for CBX1P2 RNA expression.
This table summarizes CBX1P2 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 CBX1P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CBX1P2 shows higher tumor expression in HNSC, BRCA, KIRC, PRAD, STAD and LUAD. The HNSC box plot shows higher CBX1P2 RNA expression in tumor versus normal tissue (log2 FC = +0.104, t-test p = .002).
This table shows molecular features associated with CBX1P2 in patient tissues and cancer cell lines. In patient samples, CBX1P2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
