TEX26

associated omics data
Gene

Q-omics provides the consensus-scored TEX26 profile across patient tissues and cancer cell-line models. TEX26 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, TEX26 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, TEX26 RNA expression shows 9,495 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight MESO, LIHC, and TGCT as cancer lineages where TEX26 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 TEX26 survival associations across molecular data types. TEX26 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TEX26 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22MESO (59)view →
MutationKaplan–Meier5UCEC (14)view →
This table ranks reproducible TEX26 RNA expression–survival associations across cancer types. High TEX26 expression shows unfavorable associations in LGG and KIRP, but favorable associations in MESO, SARC, UCS and SKCM. The MESO 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 MESO as the clearest survival context for TEX26 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
MESOOSMedianAll0.7040.407<.00159view →
LGGOSMedianAll0.7090.902<.00153view →
KIRPDFSTertileAll0.7540.889.00144view →
SARCDFSTertileAll0.7140.547.00136view →
UCSDFSMedianII,III,IV0.5700.153.00232view →
SKCMOSTertileIII,IV0.7770.329.00527view →
Pink = unfavorable, green = favorable. all 22 lineages →

TEX26-MESO (OS)

Kaplan–Meier survival curve for TEX26 RNA expression in MESO: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TEX26 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in LIHC for RNA.
TEX26 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10LIHC (9)view →
This table ranks reproducible tumor–normal expression differences for TEX26. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEX26 shows lower tumor expression in LIHC, KIRC, BRCA, KICH, LUSC and STAD. The LIHC box plot shows higher TEX26 RNA expression in normal versus tumor tissue (log2 FC = −0.393, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LIHCMaleIII,IV−0.393<.0019view →
KIRCAllAll−0.037<.0017view →
BRCAAllIII,IV−0.430<.0016view →
KICHAllII,III,IV−0.066.0026view →
LUSCAllAll−0.586<.0015view →
STADAllAll−0.212<.0014view →
Green = repressed in tumor. all 10 lineages →

TEX26-LIHC

Tumor-vs-normal expression box plot for TEX26 in LIHC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TEX26 in patient tissues and cancer cell lines. In patient samples, TEX26 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, TEX26 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LIVER and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA9,495TGCT (2656)view →
Function (RNA)7,114STAD (5663)view →
Mutation
RNA420UCEC (306)view →
Protein (RPPA)15UCEC (10)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,718UPPER_AERODIGESTIVE_TRACT (153)view →
RNA1,244LIVER (226)view →
RNA
RNA774SOFT_TISSUE (300)view →
shRNA98SOFT_TISSUE (56)view →
Mutation
Mutation715LARGE_INTESTINE (351)view →
RNA3LUNG_NSCLC_LUAD (2)view →