Q-omics provides the consensus-scored IGHV1-18 profile across patient tissues and cancer cell-line models. IGHV1-18 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGHV1-18 is differentially expressed in 8, with the highest sampling consensus in COAD. Additionally, IGHV1-18 protein abundance shows 16,691 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, COAD, and GBM as cancer lineages where IGHV1-18 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 IGHV1-18 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGHV1-18 survival associations across molecular data types. IGHV1-18 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IGHV1-18 RNA expression–survival associations across cancer types. High IGHV1-18 expression shows unfavorable associations in LGG, but favorable associations in HNSC, SKCM, BRCA, UCEC and SARC. 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 IGHV1-18 RNA expression.
This table summarizes IGHV1-18 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 LUAD for protein.
This table ranks reproducible tumor–normal expression differences for IGHV1-18. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGHV1-18 shows lower tumor expression in COAD, LIHC and CHOL and higher tumor expression in LUAD, KIRC and HNSC. The COAD box plot shows higher IGHV1-18 RNA expression in normal versus tumor tissue (log2 FC = −2.040, t-test p < 0.001).
This table shows molecular features associated with IGHV1-18 in patient tissues and cancer cell lines. In patient samples, IGHV1-18 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
