growth arrest and DNA damage inducible gammaGenealiases: CR6 · DDIT2 · GADD45gamma · GRP17
Q-omics provides the consensus-scored GADD45G profile across patient tissues and cancer cell-line models. GADD45G expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, GADD45G is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, GADD45G RNA expression shows 16,658 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, THCA, and THYM as cancer lineages where GADD45G 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 GADD45G — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GADD45G survival associations across molecular data types. GADD45G RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GADD45G RNA expression–survival associations across cancer types. High GADD45G expression shows unfavorable associations in UVM, but favorable associations in LIHC, SARC, PAAD, UCEC and LUAD. The UVM 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 UVM as the clearest survival context for GADD45G RNA expression.
This table summarizes GADD45G 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 1. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for GADD45G. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GADD45G shows lower tumor expression in THCA, BLCA, LIHC, LUSC and KIRP and higher tumor expression in COAD. The THCA box plot shows higher GADD45G RNA expression in normal versus tumor tissue (log2 FC = −1.318, t-test p < 0.001).
This table shows molecular features associated with GADD45G in patient tissues and cancer cell lines. In patient samples, GADD45G 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, GADD45G 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 URINARY_TRACT and SOFT_TISSUE.
