Q-omics provides the consensus-scored CCDC58P1 profile across patient tissues and cancer cell-line models. CCDC58P1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, CCDC58P1 is differentially expressed in 5, with the highest sampling consensus in BRCA. Additionally, CCDC58P1 RNA expression shows 7,076 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KICH, and BRCA as cancer lineages where CCDC58P1 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 CCDC58P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCDC58P1 survival associations across molecular data types. CCDC58P1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCDC58P1 RNA expression–survival associations across cancer types. High CCDC58P1 expression shows unfavorable associations in KICH, LIHC, COAD and STAD, but favorable associations in UCEC and CESC. 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 CCDC58P1 RNA expression.
This table summarizes CCDC58P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for CCDC58P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCDC58P1 shows lower tumor expression in THCA and higher tumor expression in BRCA, LUSC, STAD and LIHC. The BRCA box plot shows higher CCDC58P1 RNA expression in tumor versus normal tissue (log2 FC = +0.070, t-test p < 0.001).
This table shows molecular features associated with CCDC58P1 in patient tissues and cancer cell lines. In patient samples, CCDC58P1 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
