IGHVIII-11-1

associated omics data
immunoglobulin heavy variable (III)-11-1 (pseudogene)Genealiases: 3-11.1P · IGHVIII111

Q-omics provides the consensus-scored IGHVIII-11-1 profile across patient tissues and cancer cell-line models. IGHVIII-11-1 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, IGHVIII-11-1 is differentially expressed in 3, with the highest sampling consensus in COAD. Additionally, IGHVIII-11-1 RNA expression shows 6,098 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCS, COAD, and THYM as cancer lineages where IGHVIII-11-1 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 IGHVIII-11-1 survival associations across molecular data types. IGHVIII-11-1 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.
IGHVIII-11-1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13UCS (144)view →
This table ranks reproducible IGHVIII-11-1 RNA expression–survival associations across cancer types. High IGHVIII-11-1 expression shows unfavorable associations in UCS, UCEC, OV, STAD, THCA and READ. The UCS Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify UCS as the clearest survival context for IGHVIII-11-1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCSDFSTertileAll0.0680.524<.001144view →
UCECOSTertileIII,IV0.0530.588.00554view →
OVOSTertileIII,IV0.6280.839.03342view →
STADDFSTertileAll0.4060.586.01027view →
THCAOSTertileII,III,IV0.1730.903.01118view →
READDFSTertileAll0.0840.845<.00118view →
Pink = unfavorable, green = favorable. all 13 lineages →

IGHVIII-11-1-UCS (DFS)

Kaplan–Meier survival curve for IGHVIII-11-1 RNA expression in UCS: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes IGHVIII-11-1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in COAD for RNA.
IGHVIII-11-1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3COAD (6)view →
This table ranks reproducible tumor–normal expression differences for IGHVIII-11-1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IGHVIII-11-1 shows lower tumor expression in COAD and THCA and higher tumor expression in LUAD. The COAD box plot shows higher IGHVIII-11-1 RNA expression in normal versus tumor tissue (log2 FC = −0.141, t-test p = .002).
LineageGenderStageFold-changepSampling consensus
COADAllII,III,IV−0.141.0026view →
THCAAllAll−0.052.0112view →
LUADAllAll+0.058.0251view →
Green = repressed in tumor. all 3 lineages →

IGHVIII-11-1-COAD

Tumor-vs-normal expression box plot for IGHVIII-11-1 in COAD.

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Cross-omics associations

This table shows molecular features associated with IGHVIII-11-1 in patient tissues and cancer cell lines. In patient samples, IGHVIII-11-1 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
RNA6,098THYM (2510)view →
Function (RNA)5,089SKCM (2382)view →