cellular communication network factor 3Genealiases: IBP-9 · IGFBP-9 · IGFBP9 · NOV · NOVh
Q-omics provides the consensus-scored CCN3 profile across patient tissues and cancer cell-line models. CCN3 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, CCN3 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, CCN3 protein abundance shows 22,156 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, THCA, and GBM as cancer lineages where CCN3 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 CCN3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCN3 survival associations across molecular data types. CCN3 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) 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 CCN3 RNA expression–survival associations across cancer types. High CCN3 expression shows unfavorable associations in UVM, MESO, ACC, BLCA, LAML and COAD. The UVM 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 UVM as the clearest survival context for CCN3 RNA expression.
This table summarizes CCN3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 7. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for CCN3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCN3 shows lower tumor expression in THCA, KICH, BRCA, LUSC and READ and higher tumor expression in LIHC. The THCA box plot shows higher CCN3 RNA expression in normal versus tumor tissue (log2 FC = −1.527, t-test p < 0.001).
This table shows molecular features associated with CCN3 in patient tissues and cancer cell lines. In patient samples, CCN3 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, CCN3 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 LUNG_SCLC and SOFT_TISSUE.
