Q-omics provides the consensus-scored CWC27 profile across patient tissues and cancer cell-line models. CWC27 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, CWC27 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, CWC27 protein abundance shows 22,773 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, HNSC, and GBM as cancer lineages where CWC27 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 CWC27 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CWC27 survival associations across molecular data types. CWC27 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CWC27 RNA expression–survival associations across cancer types. High CWC27 expression shows unfavorable associations in KICH, LIHC and KIRP, but favorable associations in KIRC, LUAD and READ. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for CWC27 RNA expression.
This table summarizes CWC27 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 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CWC27. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CWC27 shows lower tumor expression in THCA and higher tumor expression in HNSC, LIHC, CHOL, LUAD and LUSC. The HNSC box plot shows higher CWC27 RNA expression in tumor versus normal tissue (log2 FC = +0.642, t-test p < 0.001).
This table shows molecular features associated with CWC27 in patient tissues and cancer cell lines. In patient samples, CWC27 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, CWC27 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 LUNG_NSCLC_LUAD and BLOOD_Lymphoma.
