G protein subunit beta 1Genealiases: HG2A · MDS · MRD42
Q-omics provides the consensus-scored GNB1 profile across patient tissues and cancer cell-line models. GNB1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, GNB1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, GNB1 protein abundance shows 40,419 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight CESC, HNSC, and PDAC as cancer lineages where GNB1 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 GNB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNB1 survival associations across molecular data types. GNB1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GNB1 RNA expression–survival associations across cancer types. High GNB1 expression shows unfavorable associations in CESC, ACC, HNSC, LUSC and KICH, but favorable associations in SCLC. The CESC 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 CESC as the clearest survival context for GNB1 RNA expression.
This table summarizes GNB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 10. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GNB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNB1 shows lower tumor expression in KICH and higher tumor expression in HNSC, LIHC, KIRC, STAD and BLCA. The HNSC box plot shows higher GNB1 RNA expression in tumor versus normal tissue (log2 FC = +1.078, t-test p < 0.001).
This table shows molecular features associated with GNB1 in patient tissues and cancer cell lines. In patient samples, GNB1 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, GNB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
