IGHVII-33-1

associated omics data
immunoglobulin heavy variable (II)-33-1 (pseudogene)Genealiases: []

Q-omics provides the consensus-scored IGHVII-33-1 profile across patient tissues and cancer cell-line models. IGHVII-33-1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, IGHVII-33-1 is differentially expressed in 2, with the highest sampling consensus in LIHC. Additionally, IGHVII-33-1 RNA expression shows 11,018 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight STAD, LIHC, and THYM as cancer lineages where IGHVII-33-1 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 IGHVII-33-1 survival associations across molecular data types. IGHVII-33-1 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
IGHVII-33-1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier12STAD (90)view →
This table ranks reproducible IGHVII-33-1 RNA expression–survival associations across cancer types. High IGHVII-33-1 expression shows unfavorable associations in STAD, KIRC, CESC, COAD and TGCT, but favorable associations in UCS. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify STAD as the clearest survival context for IGHVII-33-1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
STADDFSTertileIII,IV0.3990.623.00190view →
UCSDFSTertileII,III,IV1.0000.269.00678view →
KIRCOSTertileAll0.4100.645<.00160view →
CESCOSTertileIII,IV0.0680.756<.00136view →
COADOSTertileIV0.1010.658<.00136view →
TGCTDFSTertileII,III,IV0.5260.951.01118view →
Pink = unfavorable, green = favorable. all 12 lineages →

IGHVII-33-1-STAD (DFS)

Kaplan–Meier survival curve for IGHVII-33-1 RNA expression in STAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes IGHVII-33-1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in LIHC for RNA.
IGHVII-33-1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot2LIHC (2)view →
This table ranks reproducible tumor–normal expression differences for IGHVII-33-1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGHVII-33-1 shows higher tumor expression in LIHC and LUAD. The LIHC box plot shows higher IGHVII-33-1 RNA expression in tumor versus normal tissue (log2 FC = +0.039, t-test p = .017).
LineageGenderStageFold-changepSampling consensus
LIHCAllAll+0.039.0172view →
LUADAllAll+0.050.0401view →
Green = repressed in tumor. all 2 lineages →

IGHVII-33-1-LIHC

Tumor-vs-normal expression box plot for IGHVII-33-1 in LIHC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with IGHVII-33-1 in patient tissues and cancer cell lines. In patient samples, IGHVII-33-1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,018THYM (3632)view →
Function (RNA)5,901SKCM (2511)view →