Q-omics provides the consensus-scored DYNLL1P7 profile across patient tissues and cancer cell-line models. DYNLL1P7 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, DYNLL1P7 is differentially expressed in 4, with the highest sampling consensus in COAD. Additionally, DYNLL1P7 RNA expression shows 4,300 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight STAD, and COAD as cancer lineages where DYNLL1P7 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 DYNLL1P7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DYNLL1P7 survival associations across molecular data types. DYNLL1P7 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DYNLL1P7 RNA expression–survival associations across cancer types. High DYNLL1P7 expression shows unfavorable associations in STAD, KIRP, BLCA, READ, BRCA and MESO. The STAD 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 STAD as the clearest survival context for DYNLL1P7 RNA expression.
This table summarizes DYNLL1P7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for DYNLL1P7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DYNLL1P7 shows higher tumor expression in COAD, LUSC, LUAD and LIHC. The COAD box plot shows higher DYNLL1P7 RNA expression in tumor versus normal tissue (log2 FC = +0.319, t-test p < 0.001).
This table shows molecular features associated with DYNLL1P7 in patient tissues and cancer cell lines. In patient samples, DYNLL1P7 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
