RNU6-1267P

associated omics data
RNA, U6 small nuclear 1267, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-1267P profile across patient tissues and cancer cell-line models. RNU6-1267P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, RNU6-1267P is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, RNU6-1267P RNA expression shows 9,883 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight STAD, BRCA, and THYM as cancer lineages where RNU6-1267P 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 RNU6-1267P survival associations across molecular data types. RNU6-1267P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-1267P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier14STAD (35)view →
This table ranks reproducible RNU6-1267P RNA expression–survival associations across cancer types. High RNU6-1267P expression shows unfavorable associations in STAD, THCA, LIHC, READ, PRAD and ESCA. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify STAD as the clearest survival context for RNU6-1267P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
STADDFSQuartileII,III,IV0.3650.566.00435view →
THCAOSTertileIV0.5791.000<.00127view →
LIHCOSTertileIII,IV0.1340.551.01027view →
READOSTertileAll0.6370.926.01424view →
PRADDFSTertileAll0.6060.784.00118view →
ESCAOSTertileIV0.2430.590.04612view →
Pink = unfavorable, green = favorable. all 14 lineages →

RNU6-1267P-STAD (DFS)

Kaplan–Meier survival curve for RNU6-1267P RNA expression in STAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RNU6-1267P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BRCA for RNA.
RNU6-1267P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3BRCA (2)view →
This table ranks reproducible tumor–normal expression differences for RNU6-1267P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-1267P shows lower tumor expression in BRCA and higher tumor expression in ESCA and STAD. The BRCA box plot shows higher RNU6-1267P RNA expression in normal versus tumor tissue (log2 FC = −1.505, t-test p = .009).
LineageGenderStageFold-changepSampling consensus
BRCAAllIV−1.505.0092view →
ESCAAllII,III,IV+0.465.0182view →
STADMaleAll+0.267.0092view →
Green = repressed in tumor. all 3 lineages →

RNU6-1267P-BRCA

Tumor-vs-normal expression box plot for RNU6-1267P in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RNU6-1267P in patient tissues and cancer cell lines. In patient samples, RNU6-1267P 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
RNA9,883THYM (3175)view →
Protein (mass-spec)8,044LSCC (4095)view →