Q-omics provides the consensus-scored CRYBB2 profile across patient tissues and cancer cell-line models. CRYBB2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, CRYBB2 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, CRYBB2 RNA expression shows 8,282 significant gene co-expression associations, with the highest sampling consensus in PCPG. Together, these results highlight UVM, KIRC, and PCPG as cancer lineages where CRYBB2 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 CRYBB2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CRYBB2 survival associations across molecular data types. CRYBB2 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CRYBB2 RNA expression–survival associations across cancer types. High CRYBB2 expression shows unfavorable associations in ACC, but favorable associations in UVM, BLCA, SCLC, STAD and THCA. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify UVM as the clearest survival context for CRYBB2 RNA expression.
This table summarizes CRYBB2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for CRYBB2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CRYBB2 shows lower tumor expression in LUAD and higher tumor expression in KIRC, HNSC, LIHC, CHOL and UCEC. The KIRC box plot shows higher CRYBB2 RNA expression in tumor versus normal tissue (log2 FC = +0.397, t-test p < 0.001).
This table shows molecular features associated with CRYBB2 in patient tissues and cancer cell lines. In patient samples, CRYBB2 shows the broadest associations at the RNA and protein expression levels, with PCPG recurring as the lineage with the largest associated feature set. In cancer cell lines, CRYBB2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
