Q-omics provides the consensus-scored CGB7 profile across patient tissues and cancer cell-line models. CGB7 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CGB7 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, CGB7 RNA expression shows 15,147 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, HNSC, and THYM as cancer lineages where CGB7 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 CGB7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CGB7 survival associations across molecular data types. CGB7 RNA expression shows survival associations in the most cancer types (25), 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 CGB7 RNA expression–survival associations across cancer types. High CGB7 expression shows unfavorable associations in KIRC, ACC, MESO, LGG, PAAD and GBM. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for CGB7 RNA expression.
This table summarizes CGB7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for CGB7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CGB7 shows lower tumor expression in BRCA and higher tumor expression in HNSC, KIRC, LUSC, LIHC and COAD. The HNSC box plot shows higher CGB7 RNA expression in tumor versus normal tissue (log2 FC = +0.502, t-test p < 0.001).
This table shows molecular features associated with CGB7 in patient tissues and cancer cell lines. In patient samples, CGB7 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, CGB7 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 BLOOD_Lymphoma and UPPER_AERODIGESTIVE_TRACT.
