RPL26P15

associated omics data
Gene

Q-omics provides the consensus-scored RPL26P15 profile across patient tissues and cancer cell-line models. RPL26P15 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RPL26P15 is differentially expressed in 6, with the highest sampling consensus in KIRC. Additionally, RPL26P15 RNA expression shows 11,139 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KIRC, and GBM as cancer lineages where RPL26P15 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 RPL26P15 survival associations across molecular data types. RPL26P15 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPL26P15 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier12UCEC (102)view →
This table ranks reproducible RPL26P15 RNA expression–survival associations across cancer types. High RPL26P15 expression shows unfavorable associations in UCEC, SKCM, BRCA, DLBC, PCPG and CHOL. The UCEC 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 UCEC as the clearest survival context for RPL26P15 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCECDFSTertileAll0.4440.667<.001102view →
SKCMOSTertileAll0.1620.441<.00142view →
BRCADFSTertileAll0.1401.000.00136view →
DLBCDFSTertileII,III,IV0.0650.829<.00136view →
PCPGOSTertileAll0.9041.000.00527view →
CHOLOSTertileII,III,IV0.0240.601.02518view →
Pink = unfavorable, green = favorable. all 12 lineages →

RPL26P15-UCEC (DFS)

Kaplan–Meier survival curve for RPL26P15 RNA expression in UCEC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPL26P15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in THCA for RNA.
RPL26P15 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6THCA (7)view →
This table ranks reproducible tumor–normal expression differences for RPL26P15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL26P15 shows lower tumor expression in KIRC, THCA, KIRP, KICH and LIHC and higher tumor expression in HNSC. The KIRC box plot shows higher RPL26P15 RNA expression in normal versus tumor tissue (log2 FC = −0.128, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleAll−0.128<.0017view →
THCAAllAll−0.106<.0017view →
KIRPAllAll−0.220.0026view →
KICHMaleII,III,IV−0.085.0204view →
LIHCAllAll−0.111.0052view →
HNSCAllIII,IV+0.044.0291view →
Green = repressed in tumor. all 6 lineages →

RPL26P15-KIRC

Tumor-vs-normal expression box plot for RPL26P15 in KIRC.

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Cross-omics associations

This table shows molecular features associated with RPL26P15 in patient tissues and cancer cell lines. In patient samples, RPL26P15 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)11,139GBM (5489)view →
Function (RNA)5,779STAD (4461)view →