RNU7-200P

associated omics data
RNA, U7 small nuclear 200 pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU7-200P profile across patient tissues and cancer cell-line models. RNU7-200P expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, RNU7-200P is differentially expressed in 4, with the highest sampling consensus in BRCA. Additionally, RNU7-200P RNA expression shows 6,441 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight READ, BRCA, and UCEC as cancer lineages where RNU7-200P 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 RNU7-200P survival associations across molecular data types. RNU7-200P RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU7-200P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13READ (135)view →
This table ranks reproducible RNU7-200P RNA expression–survival associations across cancer types. High RNU7-200P expression shows unfavorable associations in READ, THCA, LIHC, CESC, DLBC and KIRP. The READ 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 READ as the clearest survival context for RNU7-200P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
READDFSTertileAll0.2460.715<.001135view →
THCAOSTertileIV0.3600.875<.00154view →
LIHCOSTertileIII,IV0.1310.662<.00154view →
CESCOSTertileIV0.1490.614.00236view →
DLBCOSTertileII,III,IV0.1150.839<.00136view →
KIRPDFSTertileII,III,IV0.1460.702.00130view →
Pink = unfavorable, green = favorable. all 13 lineages →

RNU7-200P-READ (DFS)

Kaplan–Meier survival curve for RNU7-200P RNA expression in READ: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU7-200P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in BRCA for RNA.
RNU7-200P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4BRCA (4)view →
This table ranks reproducible tumor–normal expression differences for RNU7-200P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU7-200P shows higher tumor expression in BRCA, STAD, LUAD and LUSC. The BRCA box plot shows higher RNU7-200P RNA expression in tumor versus normal tissue (log2 FC = +0.136, t-test p = .027).
LineageGenderStageFold-changepSampling consensus
BRCAFemaleII,III,IV+0.136.0274view →
STADMaleII,III,IV+0.325.0262view →
LUADAllAll+0.293.0241view →
LUSCAllII,III,IV+0.163.0391view →
Green = repressed in tumor. all 4 lineages →

RNU7-200P-BRCA

Tumor-vs-normal expression box plot for RNU7-200P in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RNU7-200P in patient tissues and cancer cell lines. In patient samples, RNU7-200P shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA6,441UCEC (2404)view →
Function (RNA)4,804STAD (2880)view →