RPS12P17

associated omics data
Gene

Q-omics provides the consensus-scored RPS12P17 profile across patient tissues and cancer cell-line models. RPS12P17 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RPS12P17 is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, RPS12P17 RNA expression shows 10,626 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, COAD, and UVM as cancer lineages where RPS12P17 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 RPS12P17 survival associations across molecular data types. RPS12P17 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RPS12P17 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier17ACC (62)view →
This table ranks reproducible RPS12P17 RNA expression–survival associations across cancer types. High RPS12P17 expression shows unfavorable associations in ACC, KIRP, DLBC and KIRC, but favorable associations in LIHC and LGG. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify ACC as the clearest survival context for RPS12P17 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileAll0.6920.967.00262view →
KIRPDFSTertileIV0.0270.593<.00149view →
DLBCOSQuartileIV0.2130.918.00240view →
LIHCOSTertileII,III,IV0.9410.655<.00136view →
KIRCDFSQuartileAll0.8040.910.00924view →
LGGOSMedianAll0.5310.371<.00122view →
Pink = unfavorable, green = favorable. all 17 lineages →

RPS12P17-ACC (OS)

Kaplan–Meier survival curve for RPS12P17 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RPS12P17 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 COAD for RNA.
RPS12P17 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6COAD (5)view →
This table ranks reproducible tumor–normal expression differences for RPS12P17. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPS12P17 shows higher tumor expression in COAD, BRCA, KIRC, CHOL, PRAD and LUSC. The COAD box plot shows higher RPS12P17 RNA expression in tumor versus normal tissue (log2 FC = +0.220, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADAllAll+0.220<.0015view →
BRCAAllAll+0.151.0334view →
KIRCAllII,III,IV+0.077.0044view →
CHOLAllII,III,IV+0.735.0103view →
PRADAllAll+0.175.0242view →
LUSCAllII,III,IV+0.144.0362view →
Green = repressed in tumor. all 6 lineages →

RPS12P17-COAD

Tumor-vs-normal expression box plot for RPS12P17 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RPS12P17 in patient tissues and cancer cell lines. In patient samples, RPS12P17 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA10,626UVM (5105)view →
Function (RNA)6,768STAD (5836)view →