Q-omics provides the consensus-scored IGKV2D-10 profile across patient tissues and cancer cell-line models. IGKV2D-10 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGKV2D-10 is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, IGKV2D-10 RNA expression shows 4,685 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight HNSC, BRCA, and STAD as cancer lineages where IGKV2D-10 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 IGKV2D-10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGKV2D-10 survival associations across molecular data types. IGKV2D-10 RNA expression shows survival associations in the most cancer types (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IGKV2D-10 RNA expression–survival associations across cancer types. High IGKV2D-10 expression shows unfavorable associations in HNSC, LIHC, LUAD, LUSC and UCEC, but favorable associations in BRCA. The HNSC 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 HNSC as the clearest survival context for IGKV2D-10 RNA expression.
This table summarizes IGKV2D-10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for IGKV2D-10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGKV2D-10 shows lower tumor expression in BRCA, LIHC and LUSC. The BRCA box plot shows higher IGKV2D-10 RNA expression in normal versus tumor tissue (log2 FC = −0.047, t-test p = .005).
This table shows molecular features associated with IGKV2D-10 in patient tissues and cancer cell lines. In patient samples, IGKV2D-10 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
