Q-omics provides the consensus-scored ALLC profile across patient tissues and cancer cell-line models. ALLC expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ALLC is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, ALLC RNA expression shows 12,202 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where ALLC 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 ALLC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ALLC survival associations across molecular data types. ALLC RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ALLC RNA expression–survival associations across cancer types. High ALLC expression shows unfavorable associations in ACC, STAD, LGG and UCS, but favorable associations in HNSC 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 = .001). Together, the overview and detailed table identify ACC as the clearest survival context for ALLC RNA expression.
This table summarizes ALLC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for ALLC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ALLC shows lower tumor expression in THCA, BLCA, KICH, BRCA, KIRC and LIHC. The THCA box plot shows higher ALLC RNA expression in normal versus tumor tissue (log2 FC = −0.042, t-test p < 0.001).
This table shows molecular features associated with ALLC in patient tissues and cancer cell lines. In patient samples, ALLC 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, ALLC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
