Q-omics provides the consensus-scored CCNJ profile across patient tissues and cancer cell-line models. CCNJ expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CCNJ is differentially expressed in 16, with the highest sampling consensus in COAD. Additionally, CCNJ RNA expression shows 20,770 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, COAD, and KIRP as cancer lineages where CCNJ 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 CCNJ — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCNJ survival associations across molecular data types. CCNJ RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCNJ RNA expression–survival associations across cancer types. High CCNJ expression shows unfavorable associations in ACC, LIHC, KICH and UVM, but favorable associations in UCS and READ. 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 CCNJ RNA expression.
This table summarizes CCNJ tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for CCNJ. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCNJ shows higher tumor expression in COAD, HNSC, STAD, BLCA, KIRP and LUAD. The COAD box plot shows higher CCNJ RNA expression in tumor versus normal tissue (log2 FC = +0.951, t-test p < 0.001).
This table shows molecular features associated with CCNJ in patient tissues and cancer cell lines. In patient samples, CCNJ shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, CCNJ RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Leukemia.
