Q-omics provides the consensus-scored CBX3P3 profile across patient tissues and cancer cell-line models. CBX3P3 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CBX3P3 is differentially expressed in 9, with the highest sampling consensus in UCEC. Additionally, CBX3P3 RNA expression shows 9,435 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, UCEC, and GBM as cancer lineages where CBX3P3 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 CBX3P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CBX3P3 survival associations across molecular data types. CBX3P3 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CBX3P3 RNA expression–survival associations across cancer types. High CBX3P3 expression shows unfavorable associations in KIRC, MESO, KICH and THCA, but favorable associations in BLCA and 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 CBX3P3 RNA expression.
This table summarizes CBX3P3 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 UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for CBX3P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CBX3P3 shows higher tumor expression in UCEC, ESCA, PRAD, BRCA, HNSC and LIHC. The UCEC box plot shows higher CBX3P3 RNA expression in tumor versus normal tissue (log2 FC = +0.155, t-test p = .030).
This table shows molecular features associated with CBX3P3 in patient tissues and cancer cell lines. In patient samples, CBX3P3 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
