RPL23AP85

associated omics data
ribosomal protein L23a pseudogene 85Genealiases: []

Q-omics provides the consensus-scored RPL23AP85 profile across patient tissues and cancer cell-line models. RPL23AP85 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPL23AP85 is differentially expressed in 5, with the highest sampling consensus in UCEC. Additionally, RPL23AP85 RNA expression shows 6,756 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ACC, UCEC, and STAD as cancer lineages where RPL23AP85 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 RPL23AP85 survival associations across molecular data types. RPL23AP85 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPL23AP85 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier16ACC (40)view →
This table ranks reproducible RPL23AP85 RNA expression–survival associations across cancer types. High RPL23AP85 expression shows unfavorable associations in SKCM, but favorable associations in ACC, OV, THYM, BRCA and PAAD. The ACC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify ACC as the clearest survival context for RPL23AP85 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileAll0.9020.456.00240view →
OVOSTertileAll0.4410.272<.00134view →
THYMDFSTertileAll1.0000.620.00329view →
BRCAOSTertileIII,IV0.6770.423.01628view →
SKCMOSTertileII,III,IV0.1690.410.00627view →
PAADOSTertileII,III,IV0.5590.319.01424view →
Pink = unfavorable, green = favorable. all 16 lineages →

RPL23AP85-ACC (OS)

Kaplan–Meier survival curve for RPL23AP85 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPL23AP85 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in UCEC for RNA.
RPL23AP85 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot5UCEC (4)view →
This table ranks reproducible tumor–normal expression differences for RPL23AP85. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL23AP85 shows lower tumor expression in UCEC, LUAD, BRCA, KICH and KIRP. The UCEC box plot shows higher RPL23AP85 RNA expression in normal versus tumor tissue (log2 FC = −0.160, t-test p = .017).
LineageGenderStageFold-changepSampling consensus
UCECAllII,III,IV−0.160.0174view →
LUADFemaleIII,IV−0.268.0082view →
BRCAFemaleII,III,IV−0.059.0172view →
KICHAllIV−0.220.0071view →
KIRPAllAll−0.074.0291view →
Green = repressed in tumor. all 5 lineages →

RPL23AP85-UCEC

Tumor-vs-normal expression box plot for RPL23AP85 in UCEC.

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Cross-omics associations

This table shows molecular features associated with RPL23AP85 in patient tissues and cancer cell lines. In patient samples, RPL23AP85 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,756STAD (4102)view →
RNA5,852THCA (2069)view →