inhibitor of growth family member 4Genealiases: my036 · p29ING4
Q-omics provides the consensus-scored ING4 profile across patient tissues and cancer cell-line models. ING4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ING4 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, ING4 protein abundance shows 27,151 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, KIRC, and LUAD as cancer lineages where ING4 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 ING4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ING4 survival associations across molecular data types. ING4 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1) 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 ING4 RNA expression–survival associations across cancer types. High ING4 expression shows unfavorable associations in ACC and LIHC, but favorable associations in SKCM, THYM, READ and 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 ING4 RNA expression.
This table summarizes ING4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ING4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ING4 shows lower tumor expression in KICH, LUAD and UCEC and higher tumor expression in KIRC, LIHC and CHOL. The KIRC box plot shows higher ING4 RNA expression in tumor versus normal tissue (log2 FC = +0.310, t-test p < 0.001).
This table shows molecular features associated with ING4 in patient tissues and cancer cell lines. In patient samples, ING4 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, ING4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
