Q-omics provides the consensus-scored CABP2 profile across patient tissues and cancer cell-line models. CABP2 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, CABP2 is differentially expressed in 4, with the highest sampling consensus in COAD. Additionally, CABP2 RNA expression shows 5,875 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight MESO, COAD, and STAD as cancer lineages where CABP2 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 CABP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CABP2 survival associations across molecular data types. CABP2 RNA expression shows survival associations in the most cancer types (18), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CABP2 RNA expression–survival associations across cancer types. High CABP2 expression shows unfavorable associations in MESO, THCA, LGG and LAML, but favorable associations in LUAD and OV. The MESO 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 MESO as the clearest survival context for CABP2 RNA expression.
This table summarizes CABP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for CABP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CABP2 shows lower tumor expression in COAD, KICH, BRCA and KIRC. The COAD box plot shows higher CABP2 RNA expression in normal versus tumor tissue (log2 FC = −0.135, t-test p < 0.001).
This table shows molecular features associated with CABP2 in patient tissues and cancer cell lines. In patient samples, CABP2 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, CABP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and UPPER_AERODIGESTIVE_TRACT.
