centrosomal protein 97Genealiases: 2810403B08Rik · LRRIQ2
Q-omics provides the consensus-scored CEP97 profile across patient tissues and cancer cell-line models. CEP97 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, CEP97 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, CEP97 RNA expression shows 21,402 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, HNSC, and ACC as cancer lineages where CEP97 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 CEP97 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CEP97 survival associations across molecular data types. CEP97 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) 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 CEP97 RNA expression–survival associations across cancer types. High CEP97 expression shows unfavorable associations in KICH, ACC, LIHC and UVM, but favorable associations in KIRC and UCS. 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 CEP97 RNA expression.
This table summarizes CEP97 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, 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 CEP97. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CEP97 shows higher tumor expression in HNSC, LIHC, BLCA, KIRP, LUSC and BRCA. The HNSC box plot shows higher CEP97 RNA expression in tumor versus normal tissue (log2 FC = +1.230, t-test p < 0.001).
This table shows molecular features associated with CEP97 in patient tissues and cancer cell lines. In patient samples, CEP97 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, CEP97 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 BONE and BLOOD_Leukemia.
