Q-omics provides the consensus-scored GINS3 profile across patient tissues and cancer cell-line models. GINS3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, GINS3 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, GINS3 protein abundance shows 28,879 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, HNSC, and LSCC as cancer lineages where GINS3 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 GINS3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GINS3 survival associations across molecular data types. GINS3 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GINS3 RNA expression–survival associations across cancer types. High GINS3 expression shows unfavorable associations in LIHC, MESO, SKCM and KIRP, but favorable associations in LUSC and UCEC. The LIHC 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 LIHC as the clearest survival context for GINS3 RNA expression.
This table summarizes GINS3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GINS3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GINS3 shows higher tumor expression in HNSC, COAD, KIRP, LUAD, KIRC and BLCA. The HNSC box plot shows higher GINS3 RNA expression in tumor versus normal tissue (log2 FC = +1.008, t-test p < 0.001).
This table shows molecular features associated with GINS3 in patient tissues and cancer cell lines. In patient samples, GINS3 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, GINS3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LUNG_NSCLC_LUSC.
