RPS2P55

associated omics data
Gene

Q-omics provides the consensus-scored RPS2P55 profile across patient tissues and cancer cell-line models. RPS2P55 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS2P55 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, RPS2P55 RNA expression shows 14,396 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where RPS2P55 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 RPS2P55 survival associations across molecular data types. RPS2P55 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPS2P55 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRP (115)view →
This table ranks reproducible RPS2P55 RNA expression–survival associations across cancer types. High RPS2P55 expression shows unfavorable associations in ACC, KIRP, LIHC and LUAD, but favorable associations in 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 RPS2P55 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSMedianAll0.7810.952<.001115view →
KIRPOSMedianAll0.5650.791<.001115view →
LIHCOSTertileAll0.5650.794<.00145view →
LUSCOSMedianAll0.4800.318<.00137view →
THCAOSMedianAll0.9840.890.00135view →
LUADOSQuartileII,III,IV0.6140.877.00430view →
Pink = unfavorable, green = favorable. all 23 lineages →

RPS2P55-ACC (OS)

Kaplan–Meier survival curve for RPS2P55 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPS2P55 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in COAD for RNA.
RPS2P55 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12COAD (10)view →
This table ranks reproducible tumor–normal expression differences for RPS2P55. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS2P55 shows higher tumor expression in COAD, KIRC, KIRP, THCA, STAD and LIHC. The COAD box plot shows higher RPS2P55 RNA expression in tumor versus normal tissue (log2 FC = +1.196, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleII,III,IV+1.196<.00110view →
KIRCMaleAll+0.737<.0019view →
KIRPAllIV+1.217<.0018view →
THCAAllII,III,IV+0.476<.0016view →
STADAllII,III,IV+0.611.0055view →
LIHCFemaleAll+0.541<.0015view →
Green = repressed in tumor. all 12 lineages →

RPS2P55-COAD

Tumor-vs-normal expression box plot for RPS2P55 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RPS2P55 in patient tissues and cancer cell lines. In patient samples, RPS2P55 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
RNA14,396ACC (3950)view →
Protein (mass-spec)9,223LSCC (1840)view →