COX6B1P3

associated omics data
cytochrome c oxidase subunit 6B1 pseudogene 3Genealiases: COX6BP-3 · COX6BP3

Q-omics provides the consensus-scored COX6B1P3 profile across patient tissues and cancer cell-line models. COX6B1P3 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, COX6B1P3 is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, COX6B1P3 RNA expression shows 6,637 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, ESCA, and STAD as cancer lineages where COX6B1P3 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 COX6B1P3 survival associations across molecular data types. COX6B1P3 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
COX6B1P3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier11LIHC (57)view →
This table ranks reproducible COX6B1P3 RNA expression–survival associations across cancer types. High COX6B1P3 expression shows unfavorable associations in LIHC, COAD, KIRC, DLBC, SKCM and READ. The LIHC 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 LIHC as the clearest survival context for COX6B1P3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCDFSTertileIII,IV0.1490.389.00157view →
COADOSTertileIV0.0450.659<.00151view →
KIRCOSTertileII,III,IV0.3810.586.00143view →
DLBCDFSTertileAll0.4531.000<.00138view →
SKCMDFSTertileIV0.0360.433<.00127view →
READOSTertileAll0.7230.932.01121view →
Pink = unfavorable, green = favorable. all 11 lineages →

COX6B1P3-LIHC (DFS)

Kaplan–Meier survival curve for COX6B1P3 RNA expression in LIHC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes COX6B1P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in ESCA for RNA.
COX6B1P3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot1ESCA (1)view →
This table ranks reproducible tumor–normal expression differences for COX6B1P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COX6B1P3 shows lower tumor expression in ESCA. The ESCA box plot shows higher COX6B1P3 RNA expression in normal versus tumor tissue (log2 FC = −0.766, t-test p = .021).
LineageGenderStageFold-changepSampling consensus
ESCAFemaleAll−0.766.0211view →
Green = repressed in tumor. all 1 lineages →

COX6B1P3-ESCA

Tumor-vs-normal expression box plot for COX6B1P3 in ESCA.

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Cross-omics associations

This table shows molecular features associated with COX6B1P3 in patient tissues and cancer cell lines. In patient samples, COX6B1P3 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,637STAD (6011)view →
RNA4,537LAML (2309)view →