GA binding protein transcription factor subunit alphaGenealiases: E4TF1-60 · E4TF1A · NFT2 · NRF2 · NRF2A · RCH04A07
Q-omics provides the consensus-scored GABPA profile across patient tissues and cancer cell-line models. GABPA expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GABPA is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, GABPA protein abundance shows 29,669 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, THCA, and GBM as cancer lineages where GABPA 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 GABPA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GABPA survival associations across molecular data types. GABPA RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GABPA RNA expression–survival associations across cancer types. High GABPA expression shows unfavorable associations in ACC, KIRP and UVM, but favorable associations in KIRC, HNSC and THYM. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for GABPA RNA expression.
This table summarizes GABPA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for GABPA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GABPA shows lower tumor expression in THCA, KICH, UCEC and LUAD and higher tumor expression in BLCA and LIHC. The THCA box plot shows higher GABPA RNA expression in normal versus tumor tissue (log2 FC = −1.080, t-test p < 0.001).
This table shows molecular features associated with GABPA in patient tissues and cancer cell lines. In patient samples, GABPA shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, GABPA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
