G protein subunit alpha i3Genealiases: 87U6 · ARCND1 · ARCODS · HG1A
Q-omics provides the consensus-scored GNAI3 profile across patient tissues and cancer cell-line models. GNAI3 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GNAI3 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, GNAI3 RNA expression shows 19,770 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KICH as cancer lineages where GNAI3 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 GNAI3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GNAI3 survival associations across molecular data types. GNAI3 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (7) 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 GNAI3 RNA expression–survival associations across cancer types. High GNAI3 expression shows unfavorable associations in ACC, MESO, LIHC, LGG and PAAD, but favorable associations in KIRC. The ACC 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 ACC as the clearest survival context for GNAI3 RNA expression.
This table summarizes GNAI3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 6. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GNAI3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GNAI3 shows lower tumor expression in KICH and higher tumor expression in BLCA, LIHC, LUAD, KIRC and LUSC. The KICH box plot shows higher GNAI3 RNA expression in normal versus tumor tissue (log2 FC = −1.817, t-test p < 0.001).
This table shows molecular features associated with GNAI3 in patient tissues and cancer cell lines. In patient samples, GNAI3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, GNAI3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LIVER.
