RPS10-NUDT3

associated omics data
RPS10-NUDT3 readthroughGenealiases: []

Q-omics provides the consensus-scored RPS10-NUDT3 profile across patient tissues and cancer cell-line models. RPS10-NUDT3 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, RPS10-NUDT3 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, RPS10-NUDT3 RNA expression shows 14,010 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, HNSC, and ACC as cancer lineages where RPS10-NUDT3 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 RPS10-NUDT3 survival associations across molecular data types. RPS10-NUDT3 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPS10-NUDT3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27KIRP (99)view →
MutationKaplan–Meier5ESCA (18)view →
Protein (mass-spec)Kaplan–Meier1PDAC (17)view →
This table ranks reproducible RPS10-NUDT3 RNA expression–survival associations across cancer types. High RPS10-NUDT3 expression shows unfavorable associations in KIRP, ACC, SCLC and BRCA, but favorable associations in LGG and UCS. 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 RPS10-NUDT3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSQuartileAll0.8180.940<.00199view →
ACCDFSQuartileAll0.1990.740<.00176view →
SCLCOSTertileAll0.5150.841<.00158view →
BRCADFSMedianIV0.4010.913<.00140view →
LGGDFSMedianAll0.8040.654<.00136view →
UCSOSMedianII,III,IV0.7760.426.00834view →
Pink = unfavorable, green = favorable. all 27 lineages →

RPS10-NUDT3-KIRP (DFS)

Kaplan–Meier survival curve for RPS10-NUDT3 RNA expression in KIRP: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RPS10-NUDT3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
RPS10-NUDT3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot9HNSC (6)view →
This table ranks reproducible tumor–normal expression differences for RPS10-NUDT3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS10-NUDT3 shows higher tumor expression in HNSC, LUSC, LUAD, BRCA, COAD and CHOL. The HNSC box plot shows higher RPS10-NUDT3 RNA expression in tumor versus normal tissue (log2 FC = +0.134, t-test p = .012).
LineageGenderStageFold-changepSampling consensus
HNSCMaleAll+0.134.0126view →
LUSCMaleAll+0.259<.0015view →
LUADAllAll+0.111.0015view →
BRCAAllAll+0.094<.0014view →
COADAllAll+0.122.0163view →
CHOLAllAll+0.265.0022view →
Green = repressed in tumor. all 9 lineages →

RPS10-NUDT3-HNSC

Tumor-vs-normal expression box plot for RPS10-NUDT3 in HNSC.

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Cross-omics associations

This table shows molecular features associated with RPS10-NUDT3 in patient tissues and cancer cell lines. In patient samples, RPS10-NUDT3 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, RPS10-NUDT3 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 STOMACH.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA14,010ACC (3817)view →
Function (RNA)6,941LGG (2021)view →
Mutation
RNA25UCEC (23)view →
Infiltrating cells1UCEC (1)view →
Protein (mass-spec)
Function (RNA)1PDAC (1)view →
Function (mass-spec)1PDAC (1)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
shRNA1,498UPPER_AERODIGESTIVE_TRACT (231)view →
CRISPR1,311STOMACH (130)view →