Q-omics provides the consensus-scored CACNA1G profile across patient tissues and cancer cell-line models. CACNA1G expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CACNA1G is differentially expressed in 6, with the highest sampling consensus in UCEC. Additionally, CACNA1G RNA expression shows 14,172 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, UCEC, and TGCT as cancer lineages where CACNA1G 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 CACNA1G — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CACNA1G survival associations across molecular data types. CACNA1G RNA expression shows survival associations in the most cancer types (24), followed by mutation status (8) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CACNA1G RNA expression–survival associations across cancer types. High CACNA1G expression shows unfavorable associations in KIRC, KIRP, LIHC, THCA and KICH, but favorable associations in UCS. The KIRC 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 KIRC as the clearest survival context for CACNA1G RNA expression.
This table summarizes CACNA1G tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for CACNA1G. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CACNA1G shows lower tumor expression in UCEC, BRCA and KICH and higher tumor expression in KIRP, LIHC and LUAD. The UCEC box plot shows higher CACNA1G RNA expression in normal versus tumor tissue (log2 FC = −1.029, t-test p < 0.001).
This table shows molecular features associated with CACNA1G in patient tissues and cancer cell lines. In patient samples, CACNA1G shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, CACNA1G RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BONE.
