Q-omics provides the consensus-scored C9orf72 profile across patient tissues and cancer cell-line models. C9orf72 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, C9orf72 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, C9orf72 RNA expression shows 20,294 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KICH, and UVM as cancer lineages where C9orf72 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 C9orf72 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes C9orf72 survival associations across molecular data types. C9orf72 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (8) 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 C9orf72 RNA expression–survival associations across cancer types. High C9orf72 expression shows unfavorable associations in ACC and UVM, but favorable associations in SKCM, UCEC, BRCA and CHOL. 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 C9orf72 RNA expression.
This table summarizes C9orf72 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 4. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for C9orf72. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. C9orf72 shows lower tumor expression in KICH, LUAD, THCA, LUSC and BRCA and higher tumor expression in COAD. The KICH box plot shows higher C9orf72 RNA expression in normal versus tumor tissue (log2 FC = −1.167, t-test p < 0.001).
This table shows molecular features associated with C9orf72 in patient tissues and cancer cell lines. In patient samples, C9orf72 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, C9orf72 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and LUNG_SCLC.
