Q-omics provides the consensus-scored C4orf45 profile across patient tissues and cancer cell-line models. C4orf45 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, C4orf45 is differentially expressed in 7, with the highest sampling consensus in THCA. Additionally, C4orf45 RNA expression shows 16,808 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCS, THCA, and UVM as cancer lineages where C4orf45 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 C4orf45 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes C4orf45 survival associations across molecular data types. C4orf45 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible C4orf45 RNA expression–survival associations across cancer types. High C4orf45 expression shows unfavorable associations in UCEC, SCLC, BLCA and ACC, but favorable associations in UCS and LGG. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify UCS as the clearest survival context for C4orf45 RNA expression.
This table summarizes C4orf45 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for C4orf45. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. C4orf45 shows lower tumor expression in THCA, UCEC, LUSC, LUAD and BRCA and higher tumor expression in LIHC. The THCA box plot shows higher C4orf45 RNA expression in normal versus tumor tissue (log2 FC = −0.279, t-test p < 0.001).
This table shows molecular features associated with C4orf45 in patient tissues and cancer cell lines. In patient samples, C4orf45 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, C4orf45 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and SKIN.
