Q-omics provides the consensus-scored APCDD1L-DT profile across patient tissues and cancer cell-line models. APCDD1L-DT expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, APCDD1L-DT is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, APCDD1L-DT RNA expression shows 15,911 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, and THYM as cancer lineages where APCDD1L-DT 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 APCDD1L-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes APCDD1L-DT survival associations across molecular data types. APCDD1L-DT RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible APCDD1L-DT RNA expression–survival associations across cancer types. High APCDD1L-DT expression shows unfavorable associations in KIRC, MESO, LUSC, KIRP, STAD and BLCA. The KIRC 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 KIRC as the clearest survival context for APCDD1L-DT RNA expression.
This table summarizes APCDD1L-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for APCDD1L-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. APCDD1L-DT shows lower tumor expression in KIRC, KIRP and KICH and higher tumor expression in LUSC, LUAD and HNSC. The KIRC box plot shows higher APCDD1L-DT RNA expression in normal versus tumor tissue (log2 FC = −1.669, t-test p < 0.001).
This table shows molecular features associated with APCDD1L-DT in patient tissues and cancer cell lines. In patient samples, APCDD1L-DT shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
