Q-omics provides the consensus-scored DCTN2 profile across patient tissues and cancer cell-line models. DCTN2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, DCTN2 is differentially expressed in 12, with the highest sampling consensus in KIRP. Additionally, DCTN2 protein abundance shows 31,215 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, KIRP, and GBM as cancer lineages where DCTN2 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 DCTN2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DCTN2 survival associations across molecular data types. DCTN2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) 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 DCTN2 RNA expression–survival associations across cancer types. High DCTN2 expression shows unfavorable associations in MESO, ACC, KICH, LIHC and BLCA, but favorable associations in UCS. The MESO 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 MESO as the clearest survival context for DCTN2 RNA expression.
This table summarizes DCTN2 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 5. The strongest signals are observed in KIRP for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for DCTN2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DCTN2 shows lower tumor expression in KICH and higher tumor expression in KIRP, LIHC, KIRC, LUSC and HNSC. The KIRP box plot shows higher DCTN2 RNA expression in tumor versus normal tissue (log2 FC = +0.949, t-test p < 0.001).
This table shows molecular features associated with DCTN2 in patient tissues and cancer cell lines. In patient samples, DCTN2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, DCTN2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
