RNU6-638P

associated omics data
RNA, U6 small nuclear 638, pseudogeneGenealiases: []

Q-omics provides the consensus-scored RNU6-638P profile across patient tissues and cancer cell-line models. RNU6-638P expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in TGCT. Among the 18 cancer types available for tumor–normal comparison, RNU6-638P is differentially expressed in 5, with the highest sampling consensus in STAD. Additionally, RNU6-638P RNA expression shows 14,608 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight TGCT, STAD, and THYM as cancer lineages where RNU6-638P 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 RNU6-638P survival associations across molecular data types. RNU6-638P RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RNU6-638P data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21TGCT (76)view →
This table ranks reproducible RNU6-638P RNA expression–survival associations across cancer types. High RNU6-638P expression shows unfavorable associations in TGCT and PCPG, but favorable associations in READ, HNSC, UCEC and BLCA. The TGCT 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 TGCT as the clearest survival context for RNU6-638P RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
TGCTOSTertileIII,IV0.0031.000<.00176view →
READOSQuartileIII,IV0.7250.320.00539view →
HNSCOSMedianAll0.4580.321.00238view →
UCECDFSTertileIV0.7560.292.00536view →
BLCAOSMedianIII,IV0.4470.304.01322view →
PCPGDFSMedianAll0.8510.962.00121view →
Pink = unfavorable, green = favorable. all 21 lineages →

RNU6-638P-TGCT (OS)

Kaplan–Meier survival curve for RNU6-638P RNA expression in TGCT: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RNU6-638P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in STAD for RNA.
RNU6-638P data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot5STAD (5)view →
This table ranks reproducible tumor–normal expression differences for RNU6-638P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNU6-638P shows lower tumor expression in THCA and KIRP and higher tumor expression in STAD, PRAD and LIHC. The STAD box plot shows higher RNU6-638P RNA expression in tumor versus normal tissue (log2 FC = +1.410, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
STADMaleIV+1.410<.0015view →
THCAAllAll−0.346.0102view →
PRADAllAll+0.340.0382view →
KIRPAllAll−0.311.0192view →
LIHCAllAll+0.164.0131view →
Green = repressed in tumor. all 5 lineages →

RNU6-638P-STAD

Tumor-vs-normal expression box plot for RNU6-638P in STAD.

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Cross-omics associations

This table shows molecular features associated with RNU6-638P in patient tissues and cancer cell lines. In patient samples, RNU6-638P 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
RNA14,608THYM (6813)view →
Protein (mass-spec)7,134PDAC (1931)view →