Q-omics provides the consensus-scored IGLV5-37 profile across patient tissues and cancer cell-line models. IGLV5-37 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGLV5-37 is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, IGLV5-37 RNA expression shows 6,961 significant pathway-activity associations, with the highest sampling consensus in BRCA. Together, these results highlight HNSC, COAD, and BRCA as cancer lineages where IGLV5-37 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 IGLV5-37 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGLV5-37 survival associations across molecular data types. IGLV5-37 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IGLV5-37 RNA expression–survival associations across cancer types. High IGLV5-37 expression shows unfavorable associations in UVM and KIRP, but favorable associations in HNSC, SKCM, READ and BRCA. 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 IGLV5-37 RNA expression.
This table summarizes IGLV5-37 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for IGLV5-37. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGLV5-37 shows lower tumor expression in COAD, LIHC, BRCA, READ and KICH and higher tumor expression in LUAD. The COAD box plot shows higher IGLV5-37 RNA expression in normal versus tumor tissue (log2 FC = −3.731, t-test p < 0.001).
This table shows molecular features associated with IGLV5-37 in patient tissues and cancer cell lines. In patient samples, IGLV5-37 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
