Q-omics provides the consensus-scored ORC5 profile across patient tissues and cancer cell-line models. ORC5 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, ORC5 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, ORC5 protein abundance shows 29,056 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KICH, HNSC, and LSCC as cancer lineages where ORC5 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 ORC5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ORC5 survival associations across molecular data types. ORC5 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5) 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 ORC5 RNA expression–survival associations across cancer types. High ORC5 expression shows unfavorable associations in KICH, ACC, UVM, MESO, LGG and LIHC. The KICH 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 KICH as the clearest survival context for ORC5 RNA expression.
This table summarizes ORC5 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 6. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ORC5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ORC5 shows higher tumor expression in HNSC, KIRC, LUAD, BLCA, STAD and LIHC. The HNSC box plot shows higher ORC5 RNA expression in tumor versus normal tissue (log2 FC = +0.986, t-test p < 0.001).
This table shows molecular features associated with ORC5 in patient tissues and cancer cell lines. In patient samples, ORC5 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, ORC5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
