HEATR5A

associated omics data
HEAT repeat containing 5AGenealiases: C14orf125 · p200b

Q-omics provides the consensus-scored HEATR5A profile across patient tissues and cancer cell-line models. HEATR5A expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HEATR5A is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, HEATR5A RNA expression shows 21,069 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, and ACC as cancer lineages where HEATR5A 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 HEATR5A survival associations across molecular data types. HEATR5A RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
HEATR5A data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRC (70)view →
MutationKaplan–Meier7LUSC (36)view →
Protein (mass-spec)Kaplan–Meier3LUAD (13)view →
This table ranks reproducible HEATR5A RNA expression–survival associations across cancer types. High HEATR5A expression shows unfavorable associations in UVM, ACC and LUSC, but favorable associations in KIRC, HNSC and UCS. The KIRC 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 KIRC as the clearest survival context for HEATR5A RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSTertileAll0.7350.540<.00170view →
UVMDFSTertileIII,IV0.2640.922<.00164view →
HNSCOSMedianAll0.5090.263<.00152view →
ACCDFSMedianAll0.2320.646<.00149view →
UCSDFSMedianIV0.9520.367.00136view →
LUSCDFSMedianIII,IV0.5440.767.00233view →
Pink = unfavorable, green = favorable. all 23 lineages →

HEATR5A-KIRC (OS)

Kaplan–Meier survival curve for HEATR5A RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes HEATR5A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
HEATR5A data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10KIRC (11)view →
Protein (mass-spec)Box plot6CCRCC (11)view →
This table ranks reproducible tumor–normal expression differences for HEATR5A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HEATR5A shows lower tumor expression in KIRC, COAD, THCA and LUSC and higher tumor expression in LIHC and STAD. The KIRC box plot shows higher HEATR5A RNA expression in normal versus tumor tissue (log2 FC = −0.672, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleIII,IV−0.672<.00111view →
COADFemaleAll−1.008<.00110view →
THCAAllII,III,IV−0.512<.0018view →
LIHCFemaleII,III,IV+0.743<.0016view →
STADAllII,III,IV+0.424.0203view →
LUSCAllAll−0.322<.0013view →
Green = repressed in tumor. all 10 lineages →

HEATR5A-KIRC

Tumor-vs-normal expression box plot for HEATR5A in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with HEATR5A in patient tissues and cancer cell lines. In patient samples, HEATR5A shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, HEATR5A 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 BONE and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA21,069ACC (9516)view →
Protein (mass-spec)15,800PDAC (6168)view →
Protein (mass-spec)
Protein (mass-spec)12,925LUAD (2555)view →
RNA7,001CCRCC (1424)view →
Mutation
RNA3,780UCEC (3246)view →
Protein (RPPA)46UCEC (33)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,659UPPER_AERODIGESTIVE_TRACT (2814)view →
Function (RNA)4,536BONE (1488)view →
Mutation
Mutation2,241LARGE_INTESTINE (1333)view →
RNA101LARGE_INTESTINE (65)view →