Q-omics provides the consensus-scored CCDC97 profile across patient tissues and cancer cell-line models. CCDC97 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CCDC97 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, CCDC97 RNA expression shows 20,110 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and KIRC as cancer lineages where CCDC97 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 CCDC97 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCDC97 survival associations across molecular data types. CCDC97 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCDC97 RNA expression–survival associations across cancer types. High CCDC97 expression shows unfavorable associations in ACC, LIHC and LGG, but favorable associations in HNSC, SCLC and BRCA. The ACC 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 ACC as the clearest survival context for CCDC97 RNA expression.
This table summarizes CCDC97 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 KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CCDC97. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCDC97 shows higher tumor expression in KIRC, LIHC, KIRP, STAD, BRCA and CHOL. The KIRC box plot shows higher CCDC97 RNA expression in tumor versus normal tissue (log2 FC = +0.569, t-test p < 0.001).
This table shows molecular features associated with CCDC97 in patient tissues and cancer cell lines. In patient samples, CCDC97 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, CCDC97 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and UPPER_AERODIGESTIVE_TRACT.
