TEX14

associated omics data
testis expressed 14, intercellular bridge forming factorGenealiases: CT113 · SPGF23 · SgK307

Q-omics provides the consensus-scored TEX14 profile across patient tissues and cancer cell-line models. TEX14 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, TEX14 is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, TEX14 RNA expression shows 17,896 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, THCA, and UVM as cancer lineages where TEX14 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 TEX14 survival associations across molecular data types. TEX14 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TEX14 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23ACC (66)view →
MutationKaplan–Meier8UCEC (36)view →
This table ranks reproducible TEX14 RNA expression–survival associations across cancer types. High TEX14 expression shows unfavorable associations in ACC, KIRC, LUSC and LGG, but favorable associations in HNSC and LUAD. The ACC 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 ACC as the clearest survival context for TEX14 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileAll0.2420.748<.00166view →
HNSCDFSTertileIV0.5420.352.00656view →
LUADOSTertileAll0.8610.768.00249view →
KIRCDFSMedianAll0.5430.694<.00147view →
LUSCOSMedianIII,IV0.2670.550<.00141view →
LGGDFSMedianAll0.2960.455<.00132view →
Pink = unfavorable, green = favorable. all 23 lineages →

TEX14-ACC (DFS)

Kaplan–Meier survival curve for TEX14 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TEX14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
TEX14 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot9THCA (10)view →
This table ranks reproducible tumor–normal expression differences for TEX14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEX14 shows lower tumor expression in THCA, LUAD, KICH, LUSC and KIRP and higher tumor expression in BRCA. The THCA box plot shows higher TEX14 RNA expression in normal versus tumor tissue (log2 FC = −0.266, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAMaleIV−0.266<.00110view →
LUADMaleIII,IV−0.686<.0017view →
KICHMaleAll−0.465<.0017view →
LUSCFemaleII,III,IV−0.782<.0016view →
KIRPAllAll−0.175.0016view →
BRCAAllII,III,IV+0.380<.0014view →
Green = repressed in tumor. all 9 lineages →

TEX14-THCA

Tumor-vs-normal expression box plot for TEX14 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TEX14 in patient tissues and cancer cell lines. In patient samples, TEX14 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, TEX14 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in LIVER and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA17,896UVM (6153)view →
Protein (mass-spec)9,320PDAC (2235)view →
Mutation
RNA5,184UCEC (3209)view →
Protein (RPPA)53UCEC (44)view →
Protein (mass-spec)
Protein (mass-spec)292UCEC (292)view →
RNA246UCEC (246)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,727LUNG_SCLC (172)view →
RNA1,044LIVER (128)view →
Mutation
Mutation6,486LARGE_INTESTINE (4517)view →
RNA1,422LARGE_INTESTINE (1360)view →
RNA
RNA6,097SOFT_TISSUE (2012)view →
Function (RNA)2,871SOFT_TISSUE (1350)view →
shRNA
shRNA1,885STOMACH (227)view →
RNA1,673OVARY (244)view →