Q-omics provides the consensus-scored CHRNA3 profile across patient tissues and cancer cell-line models. CHRNA3 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CHRNA3 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, CHRNA3 RNA expression shows 17,443 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where CHRNA3 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 CHRNA3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CHRNA3 survival associations across molecular data types. CHRNA3 RNA expression shows survival associations in the most cancer types (16), 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 CHRNA3 RNA expression–survival associations across cancer types. High CHRNA3 expression shows unfavorable associations in ACC, KIRP, KIRC, DLBC and LIHC, but favorable associations in THYM. 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 CHRNA3 RNA expression.
This table summarizes CHRNA3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CHRNA3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CHRNA3 shows lower tumor expression in COAD, KIRC, READ and BLCA and higher tumor expression in BRCA and KIRP. The COAD box plot shows higher CHRNA3 RNA expression in normal versus tumor tissue (log2 FC = −1.283, t-test p < 0.001).
This table shows molecular features associated with CHRNA3 in patient tissues and cancer cell lines. In patient samples, CHRNA3 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, CHRNA3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
