IGKV1D-35

associated omics data
immunoglobulin kappa variable 1D-35 (pseudogene)Genealiases: IGKV1D35 · O6

Q-omics provides the consensus-scored IGKV1D-35 profile across patient tissues and cancer cell-line models. IGKV1D-35 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, IGKV1D-35 is differentially expressed in 4, with the highest sampling consensus in COAD. Additionally, IGKV1D-35 RNA expression shows 6,309 significant pathway-activity associations, with the highest sampling consensus in BRCA. Together, these results highlight HNSC, COAD, and BRCA as cancer lineages where IGKV1D-35 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.

Survival associations

This table summarizes IGKV1D-35 survival associations across molecular data types. IGKV1D-35 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
IGKV1D-35 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13HNSC (144)view →
This table ranks reproducible IGKV1D-35 RNA expression–survival associations across cancer types. High IGKV1D-35 expression shows unfavorable associations in OV and KICH, but favorable associations in HNSC, BRCA, LUAD and PAAD. 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 IGKV1D-35 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSMedianAll0.4870.302<.001144view →
BRCADFSQuartileIII,IV0.9110.752.00236view →
OVOSTertileIV0.1790.769.00236view →
KICHDFSTertileAll0.1210.867.02324view →
LUADDFSQuartileAll0.8090.638.00724view →
PAADOSTertileII,III,IV0.6900.515.00921view →
Pink = unfavorable, green = favorable. all 13 lineages →

IGKV1D-35-HNSC (DFS)

Kaplan–Meier survival curve for IGKV1D-35 RNA expression in HNSC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes IGKV1D-35 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 COAD for RNA.
IGKV1D-35 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4COAD (10)view →
This table ranks reproducible tumor–normal expression differences for IGKV1D-35. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGKV1D-35 shows lower tumor expression in COAD, BRCA and STAD and higher tumor expression in LUAD. The COAD box plot shows higher IGKV1D-35 RNA expression in normal versus tumor tissue (log2 FC = −0.749, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleAll−0.749<.00110view →
LUADFemaleAll+0.579<.0017view →
BRCAFemaleII,III,IV−0.178.0074view →
STADAllAll−0.731.0123view →
Green = repressed in tumor. all 4 lineages →

IGKV1D-35-COAD

Tumor-vs-normal expression box plot for IGKV1D-35 in COAD.

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Cross-omics associations

This table shows molecular features associated with IGKV1D-35 in patient tissues and cancer cell lines. In patient samples, IGKV1D-35 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,309BRCA (3128)view →
RNA4,544PAAD (1343)view →