RRP1

associated omics data
ribosomal RNA processing 1Genealiases: D21S2056E · NNP-1 · NOP52 · RRP1A

Q-omics provides the consensus-scored RRP1 profile across patient tissues and cancer cell-line models. RRP1 expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, RRP1 is differentially expressed in 17, with the highest sampling consensus in COAD. Additionally, RRP1 protein abundance shows 30,411 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, COAD, and LSCC as cancer lineages where RRP1 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 RRP1 survival associations across molecular data types. RRP1 RNA expression shows survival associations in the most cancer types (30), followed by mutation status (2) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RRP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier30KIRP (95)view →
Protein (mass-spec)Kaplan–Meier5CCRCC (64)view →
MutationKaplan–Meier2MESO (9)view →
This table ranks reproducible RRP1 RNA expression–survival associations across cancer types. High RRP1 expression shows unfavorable associations in KIRP, LIHC, ACC, CESC, KIRC and UVM. The KIRP 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 KIRP as the clearest survival context for RRP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSMedianAll0.8510.960<.00195view →
LIHCDFSMedianAll0.4640.612<.00176view →
ACCDFSTertileAll0.1770.736<.00170view →
CESCDFSMedianIV0.2830.707.00448view →
KIRCDFSQuartileII,III,IV0.6690.898<.00142view →
UVMOSQuartileII,III,IV0.3810.830.00129view →
Pink = unfavorable, green = favorable. all 30 lineages →

RRP1-KIRP (DFS)

Kaplan–Meier survival curve for RRP1 RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RRP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
RRP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot17KIRC (12)view →
Protein (mass-spec)Box plot6CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for RRP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RRP1 shows higher tumor expression in COAD, KIRC, STAD, LIHC, LUAD and BLCA. The COAD box plot shows higher RRP1 RNA expression in tumor versus normal tissue (log2 FC = +1.486, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleIII,IV+1.486<.00112view →
KIRCFemaleAll+0.820<.00112view →
STADMaleII,III,IV+1.219<.00110view →
LIHCFemaleII,III,IV+1.271<.0019view →
LUADFemaleIII,IV+0.972<.0019view →
BLCAMaleIII,IV+1.405<.0018view →
Green = repressed in tumor. all 17 lineages →

RRP1-COAD

Tumor-vs-normal expression box plot for RRP1 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RRP1 in patient tissues and cancer cell lines. In patient samples, RRP1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, RRP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)30,411LSCC (10708)view →
RNA17,679LSCC (9176)view →
RNA
RNA18,623ACC (9108)view →
Protein (mass-spec)17,225LSCC (7307)view →
Mutation
RNA934UCEC (677)view →
Protein (RPPA)11UCEC (11)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,983BLOOD_Leukemia (156)view →
RNA1,903BLOOD_Leukemia (519)view →
RNA
RNA10,332BLOOD_Lymphoma (4407)view →
Function (RNA)4,261BLOOD_Lymphoma (1676)view →
Protein (mass-spec)
RNA3,774BLOOD_Leukemia (1091)view →
Protein (mass-spec)2,328BLOOD_Leukemia (569)view →
Mutation
Mutation2,405BLOOD_Leukemia (1026)view →
RNA6BLOOD_Leukemia (2)view →