RPL35AP29

associated omics data
Gene

Q-omics provides the consensus-scored RPL35AP29 profile across patient tissues and cancer cell-line models. RPL35AP29 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, RPL35AP29 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, RPL35AP29 RNA expression shows 8,697 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight CHOL, COAD, and THYM as cancer lineages where RPL35AP29 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 RPL35AP29 survival associations across molecular data types. RPL35AP29 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPL35AP29 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier18CHOL (27)view →
This table ranks reproducible RPL35AP29 RNA expression–survival associations across cancer types. High RPL35AP29 expression shows unfavorable associations in CHOL, DLBC, MESO and UCEC, but favorable associations in UCS and LIHC. The CHOL Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify CHOL as the clearest survival context for RPL35AP29 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CHOLOSTertileIII,IV0.1360.859.00327view →
UCSOSMedianIV0.8440.234.00524view →
DLBCOSQuartileII,III,IV0.7251.000.01624view →
MESOOSTertileIV0.0770.592.01918view →
LIHCOSTertileIII,IV0.8440.308.02318view →
UCECDFSTertileAll0.5060.688.02812view →
Pink = unfavorable, green = favorable. all 18 lineages →

RPL35AP29-CHOL (OS)

Kaplan–Meier survival curve for RPL35AP29 RNA expression in CHOL: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPL35AP29 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in COAD for RNA.
RPL35AP29 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10COAD (6)view →
This table ranks reproducible tumor–normal expression differences for RPL35AP29. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL35AP29 shows higher tumor expression in COAD, BLCA, BRCA, LUSC, STAD and KIRP. The COAD box plot shows higher RPL35AP29 RNA expression in tumor versus normal tissue (log2 FC = +0.157, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADAllII,III,IV+0.157<.0016view →
BLCAAllAll+0.192.0134view →
BRCAAllAll+0.159.0084view →
LUSCMaleAll+0.110.0024view →
STADAllII,III,IV+0.156.0142view →
KIRPAllAll+0.098.0192view →
Green = repressed in tumor. all 10 lineages →

RPL35AP29-COAD

Tumor-vs-normal expression box plot for RPL35AP29 in COAD.

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Cross-omics associations

This table shows molecular features associated with RPL35AP29 in patient tissues and cancer cell lines. In patient samples, RPL35AP29 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,697THYM (2989)view →
Protein (mass-spec)7,015HNSC (2034)view →