Q-omics provides the consensus-scored IGLV1-47 profile across patient tissues and cancer cell-line models. IGLV1-47 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGLV1-47 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, IGLV1-47 protein abundance shows 22,865 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight HNSC, COAD, and PDAC as cancer lineages where IGLV1-47 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 IGLV1-47 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGLV1-47 survival associations across molecular data types. IGLV1-47 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) 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 IGLV1-47 RNA expression–survival associations across cancer types. High IGLV1-47 expression shows unfavorable associations in STAD, but favorable associations in HNSC, SKCM, BRCA, LIHC and COAD. 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 IGLV1-47 RNA expression.
This table summarizes IGLV1-47 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 7. The strongest signals are observed in COAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for IGLV1-47. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGLV1-47 shows lower tumor expression in COAD, READ and LIHC and higher tumor expression in LUAD, KIRC and ESCA. The COAD box plot shows higher IGLV1-47 RNA expression in normal versus tumor tissue (log2 FC = −4.198, t-test p < 0.001).
This table shows molecular features associated with IGLV1-47 in patient tissues and cancer cell lines. In patient samples, IGLV1-47 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set.
