RPS29P5

associated omics data
Gene

Q-omics provides the consensus-scored RPS29P5 profile across patient tissues and cancer cell-line models. RPS29P5 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS29P5 is differentially expressed in 8, with the highest sampling consensus in LIHC. Additionally, RPS29P5 RNA expression shows 13,789 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where RPS29P5 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 RPS29P5 survival associations across molecular data types. RPS29P5 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPS29P5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier19ACC (101)view →
This table ranks reproducible RPS29P5 RNA expression–survival associations across cancer types. High RPS29P5 expression shows unfavorable associations in ACC and PAAD, but favorable associations in CESC, SKCM, LUSC and THCA. 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 RPS29P5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.3770.780<.001101view →
CESCDFSQuartileII,III,IV0.7960.237<.00154view →
SKCMOSTertileAll0.5380.268<.00137view →
LUSCOSTertileAll0.5150.358.00330view →
THCAOSQuartileAll1.0000.891.00429view →
PAADOSMedianII,III,IV0.4380.671.00128view →
Pink = unfavorable, green = favorable. all 19 lineages →

RPS29P5-ACC (DFS)

Kaplan–Meier survival curve for RPS29P5 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPS29P5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in LIHC for RNA.
RPS29P5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8LIHC (8)view →
This table ranks reproducible tumor–normal expression differences for RPS29P5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS29P5 shows higher tumor expression in LIHC, HNSC, KIRC, COAD, CHOL and KIRP. The LIHC box plot shows higher RPS29P5 RNA expression in tumor versus normal tissue (log2 FC = +0.801, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LIHCFemaleII,III,IV+0.801<.0018view →
HNSCFemaleIII,IV+0.733.0048view →
KIRCMaleII,III,IV+0.364.0037view →
COADFemaleII,III,IV+1.298<.0016view →
CHOLAllAll+1.143<.0013view →
KIRPMaleII,III,IV+0.576.0062view →
Green = repressed in tumor. all 8 lineages →

RPS29P5-LIHC

Tumor-vs-normal expression box plot for RPS29P5 in LIHC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RPS29P5 in patient tissues and cancer cell lines. In patient samples, RPS29P5 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA13,789ACC (6530)view →
Protein (mass-spec)9,961GBM (4637)view →