Q-omics provides the consensus-scored BEX2 profile across patient tissues and cancer cell-line models. BEX2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, BEX2 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, BEX2 RNA expression shows 22,576 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, THCA, and LSCC as cancer lineages where BEX2 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 BEX2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BEX2 survival associations across molecular data types. BEX2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BEX2 RNA expression–survival associations across cancer types. High BEX2 expression shows unfavorable associations in UCEC, but favorable associations in KIRC, MESO, KIRP, LGG and OV. 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 BEX2 RNA expression.
This table summarizes BEX2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for BEX2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BEX2 shows lower tumor expression in THCA, KIRC, STAD, LUAD and KICH and higher tumor expression in CHOL. The THCA box plot shows higher BEX2 RNA expression in normal versus tumor tissue (log2 FC = −1.399, t-test p < 0.001).
This table shows molecular features associated with BEX2 in patient tissues and cancer cell lines. In patient samples, BEX2 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, BEX2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Leukemia.
