Q-omics provides the consensus-scored GINS4 profile across patient tissues and cancer cell-line models. GINS4 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GINS4 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, GINS4 protein abundance shows 27,662 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, HNSC, and LSCC as cancer lineages where GINS4 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 GINS4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GINS4 survival associations across molecular data types. GINS4 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GINS4 RNA expression–survival associations across cancer types. High GINS4 expression shows unfavorable associations in ACC, MESO, KIRP, LGG and LIHC, but favorable associations in UCS. 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 GINS4 RNA expression.
This table summarizes GINS4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for GINS4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GINS4 shows higher tumor expression in HNSC, LUAD, BLCA, COAD, KIRP and STAD. The HNSC box plot shows higher GINS4 RNA expression in tumor versus normal tissue (log2 FC = +1.314, t-test p < 0.001).
This table shows molecular features associated with GINS4 in patient tissues and cancer cell lines. In patient samples, GINS4 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, GINS4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
