Q-omics provides the consensus-scored BCL2 profile across patient tissues and cancer cell-line models. BCL2 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, BCL2 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, BCL2 RNA expression shows 20,318 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where BCL2 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 BCL2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BCL2 survival associations across molecular data types. BCL2 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BCL2 RNA expression–survival associations across cancer types. High BCL2 expression shows favorable associations in KIRC, HNSC, BRCA, KIRP, CESC and LUAD. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for BCL2 RNA expression.
This table summarizes BCL2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for BCL2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BCL2 shows lower tumor expression in COAD, THCA, BLCA, UCEC and BRCA and higher tumor expression in KIRC. The COAD box plot shows higher BCL2 RNA expression in normal versus tumor tissue (log2 FC = −1.660, t-test p < 0.001).
This table shows molecular features associated with BCL2 in patient tissues and cancer cell lines. In patient samples, BCL2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, BCL2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
