immunoglobulin heavy variable 3-29 (pseudogene)Genealiases: []
Q-omics provides the consensus-scored IGHV3-29 profile across patient tissues and cancer cell-line models. IGHV3-29 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGHV3-29 is differentially expressed in 4, with the highest sampling consensus in LUAD. Additionally, IGHV3-29 RNA expression shows 7,492 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, LUAD, and LSCC as cancer lineages where IGHV3-29 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 IGHV3-29 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IGHV3-29 survival associations across molecular data types. IGHV3-29 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IGHV3-29 RNA expression–survival associations across cancer types. High IGHV3-29 expression shows unfavorable associations in LAML and KIRC, but favorable associations in HNSC, BLCA, ESCA and OV. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for IGHV3-29 RNA expression.
This table summarizes IGHV3-29 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for IGHV3-29. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGHV3-29 shows lower tumor expression in READ and higher tumor expression in LUAD, LUSC and KIRC. The LUAD box plot shows higher IGHV3-29 RNA expression in tumor versus normal tissue (log2 FC = +0.413, t-test p < 0.001).
This table shows molecular features associated with IGHV3-29 in patient tissues and cancer cell lines. In patient samples, IGHV3-29 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
