POLR3H

associated omics data
RNA polymerase III subunit HGenealiases: C25 · RPC22.9 · RPC8

Q-omics provides the consensus-scored POLR3H profile across patient tissues and cancer cell-line models. POLR3H expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, POLR3H is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, POLR3H RNA expression shows 18,770 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where POLR3H 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 POLR3H survival associations across molecular data types. POLR3H RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
POLR3H data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25ACC (71)view →
MutationKaplan–Meier6LUSC (30)view →
Protein (mass-spec)Kaplan–Meier6HNSC (37)view →
This table ranks reproducible POLR3H RNA expression–survival associations across cancer types. High POLR3H expression shows unfavorable associations in ACC, LIHC and KICH, but favorable associations in SCLC, LGG and UCEC. 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 POLR3H RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.2350.655<.00171view →
LIHCOSMedianAll0.5970.769<.00168view →
SCLCDFSQuartileII,III,IV0.7700.289<.00147view →
LGGOSMedianAll0.8970.721<.00146view →
UCECOSMedianAll0.7910.525.00534view →
KICHDFSMedianAll0.7501.000.01632view →
Pink = unfavorable, green = favorable. all 25 lineages →

POLR3H-ACC (DFS)

Kaplan–Meier survival curve for POLR3H RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes POLR3H tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 4. The strongest signals are observed in COAD for RNA and LSCC for protein.
POLR3H data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14COAD (11)view →
Protein (mass-spec)Box plot4LSCC (6)view →
This table ranks reproducible tumor–normal expression differences for POLR3H. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POLR3H shows lower tumor expression in THCA, KICH and LUAD and higher tumor expression in COAD, HNSC and LIHC. The COAD box plot shows higher POLR3H RNA expression in tumor versus normal tissue (log2 FC = +0.851, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleAll+0.851<.00111view →
THCAMaleIV−1.043<.00110view →
HNSCMaleAll+0.648<.00110view →
LIHCMaleAll+1.046<.0019view →
KICHAllAll−0.661<.0018view →
LUADMaleII,III,IV−1.004<.0017view →
Green = repressed in tumor. all 14 lineages →

POLR3H-COAD

Tumor-vs-normal expression box plot for POLR3H in COAD.

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Cross-omics associations

This table shows molecular features associated with POLR3H in patient tissues and cancer cell lines. In patient samples, POLR3H 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, POLR3H RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and UPPER_AERODIGESTIVE_TRACT.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,770ACC (10133)view →
Mutation10,773UCEC (10756)view →
Protein (mass-spec)
Protein (mass-spec)11,524LSCC (5024)view →
RNA6,625LSCC (4136)view →
Mutation
RNA2,511UCEC (2435)view →
Protein (RPPA)12UCEC (12)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,020PANCREAS (211)view →
RNA1,629OESOPHAGUS (293)view →
RNA
RNA11,302UPPER_AERODIGESTIVE_TRACT (4065)view →
Function (RNA)4,593BLOOD_Lymphoma (1504)view →
shRNA
shRNA1,271CNS (138)view →
CRISPR1,182BREAST (153)view →
Mutation
Mutation147LARGE_INTESTINE (110)view →