Q-omics provides the consensus-scored IGLV1-51 profile across patient tissues and cancer cell-line models. IGLV1-51 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGLV1-51 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, IGLV1-51 protein abundance shows 15,294 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, COAD, and LSCC as cancer lineages where IGLV1-51 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 IGLV1-51 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGLV1-51 survival associations across molecular data types. IGLV1-51 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (4) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IGLV1-51 RNA expression–survival associations across cancer types. High IGLV1-51 expression shows favorable associations in HNSC, SKCM, LUAD, BRCA, LIHC and UCEC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for IGLV1-51 RNA expression.
This table summarizes IGLV1-51 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for IGLV1-51. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGLV1-51 shows lower tumor expression in COAD, LIHC, BRCA and READ and higher tumor expression in LUAD and KIRC. The COAD box plot shows higher IGLV1-51 RNA expression in normal versus tumor tissue (log2 FC = −4.297, t-test p < 0.001).
This table shows molecular features associated with IGLV1-51 in patient tissues and cancer cell lines. In patient samples, IGLV1-51 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
