TEX55

associated omics data
testis expressed 55Genealiases: C3orf30 · TSCPA

Q-omics provides the consensus-scored TEX55 profile across patient tissues and cancer cell-line models. TEX55 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, TEX55 is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, TEX55 RNA expression shows 6,288 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight CESC, KICH, and STAD as cancer lineages where TEX55 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 TEX55 survival associations across molecular data types. TEX55 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TEX55 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier19CESC (92)view →
MutationKaplan–Meier2BRCA (30)view →
This table ranks reproducible TEX55 RNA expression–survival associations across cancer types. High TEX55 expression shows unfavorable associations in KIRC, READ, LGG, LIHC and MESO, but favorable associations in CESC. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify CESC as the clearest survival context for TEX55 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CESCOSTertileAll0.9490.829.00292view →
KIRCDFSTertileII,III,IV0.5990.827<.00165view →
READDFSTertileIII,IV0.4380.778.00145view →
LGGOSTertileAll0.2920.465.00127view →
LIHCOSTertileAll0.2790.587.00424view →
MESOOSTertileII,III,IV0.4390.594.02718view →
Pink = unfavorable, green = favorable. all 19 lineages →

TEX55-CESC (OS)

Kaplan–Meier survival curve for TEX55 RNA expression in CESC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TEX55 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KICH for RNA.
TEX55 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8KICH (10)view →
This table ranks reproducible tumor–normal expression differences for TEX55. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TEX55 shows lower tumor expression in KICH, KIRC and KIRP and higher tumor expression in BLCA, LUAD and HNSC. The KICH box plot shows higher TEX55 RNA expression in normal versus tumor tissue (log2 FC = −0.282, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHMaleII,III,IV−0.282<.00110view →
KIRCFemaleAll−0.146<.0017view →
BLCAFemaleIII,IV+0.097.0216view →
LUADAllAll+0.304<.0015view →
KIRPAllIII,IV−0.306.0024view →
HNSCMaleII,III,IV+0.122.0024view →
Green = repressed in tumor. all 8 lineages →

TEX55-KICH

Tumor-vs-normal expression box plot for TEX55 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TEX55 in patient tissues and cancer cell lines. In patient samples, TEX55 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, TEX55 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,288STAD (4349)view →
Protein (mass-spec)6,157HNSC (2052)view →
Mutation
RNA2,510UCEC (1663)view →
Protein (RPPA)44UCEC (36)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,848BREAST (126)view →
RNA1,226OESOPHAGUS (148)view →
Mutation
Mutation1,520LARGE_INTESTINE (1361)view →
RNA30BLOOD_Leukemia (24)view →
shRNA
shRNA1,339SOFT_TISSUE (222)view →
CRISPR787SOFT_TISSUE (146)view →
RNA
RNA822BLOOD_Leukemia (175)view →
Mutation149CNS (88)view →