TRH

associated omics data
thyrotropin releasing hormoneGenealiases: Pro-TRH · TRF

Q-omics provides the consensus-scored TRH profile across patient tissues and cancer cell-line models. TRH 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, TRH is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, TRH RNA expression shows 11,033 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, BRCA, and TGCT as cancer lineages where TRH 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 TRH survival associations across molecular data types. TRH RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
TRH data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23ACC (74)view →
MutationKaplan–Meier2LUAD (12)view →
Protein (mass-spec)Kaplan–Meier1UCEC (12)view →
This table ranks reproducible TRH RNA expression–survival associations across cancer types. High TRH expression shows unfavorable associations in ACC, READ, BLCA and COAD, but favorable associations in LAML and BRCA. 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 TRH RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSQuartileAll0.2610.648<.00174view →
LAMLDFSMedianAll0.7130.425<.00148view →
READDFSTertileAll0.2200.687.00246view →
BRCADFSTertileIII,IV0.9480.792<.00135view →
BLCADFSQuartileII,III,IV0.4090.554.00533view →
COADDFSMedianAll0.5660.764<.00123view →
Pink = unfavorable, green = favorable. all 23 lineages →

TRH-ACC (DFS)

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

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes TRH tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in BRCA for RNA.
TRH data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6BRCA (6)view →
This table ranks reproducible tumor–normal expression differences for TRH. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRH shows lower tumor expression in UCEC, LUSC, PRAD and HNSC and higher tumor expression in BRCA and THCA. The BRCA box plot shows higher TRH RNA expression in tumor versus normal tissue (log2 FC = +0.554, t-test p = .007).
LineageGenderStageFold-changepSampling consensus
BRCAAllAll+0.554.0076view →
UCECAllAll−2.047<.0014view →
LUSCAllIII,IV−0.191<.0013view →
PRADAllAll−0.308.0012view →
HNSCAllII,III,IV−0.132.0322view →
THCAAllIII,IV+0.126.0171view →
Green = repressed in tumor. all 6 lineages →

TRH-BRCA

Tumor-vs-normal expression box plot for TRH in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with TRH in patient tissues and cancer cell lines. In patient samples, TRH 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, TRH RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,033TGCT (3266)view →
Protein (mass-spec)7,144GBM (2535)view →
Protein (mass-spec)
Protein (mass-spec)3,084UCEC (2035)view →
Function (mass-spec)1,137UCEC (947)view →
Mutation
RNA186UCEC (112)view →
Protein (RPPA)8UCEC (8)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA1,694BLOOD_Lymphoma (237)view →
CRISPR1,641BLOOD_Lymphoma (129)view →
RNA
RNA3,658LUNG_SCLC (1401)view →
Function (RNA)1,585LUNG_SCLC (812)view →
shRNA
shRNA1,386LUNG_SCLC (159)view →
RNA1,330LARGE_INTESTINE (289)view →
Mutation
Mutation21SKIN (21)view →