DSCR8

associated omics data
Down syndrome critical region 8Genealiases: C21orf65 · CT25.1a · CT25.1b · MMA-1 · MMA-1a · MMA-1b

Q-omics provides the consensus-scored DSCR8 profile across patient tissues and cancer cell-line models. DSCR8 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, DSCR8 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, DSCR8 RNA expression shows 8,876 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, KIRC, and TGCT as cancer lineages where DSCR8 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 DSCR8 survival associations across molecular data types. DSCR8 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.
DSCR8 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21ACC (71)view →
This table ranks reproducible DSCR8 RNA expression–survival associations across cancer types. High DSCR8 expression shows unfavorable associations in ACC, MESO, COAD, KICH and UVM, but favorable associations in READ. The ACC 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 ACC as the clearest survival context for DSCR8 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileII,III,IV0.2220.638.00371view →
MESODFSTertileIV0.1380.387.01651view →
COADOSTertileIV0.1630.728.00139view →
KICHOSTertileAll0.7370.956.00436view →
UVMOSTertileAll0.6370.937.00436view →
READDFSTertileIII,IV0.7350.385.00321view →
Pink = unfavorable, green = favorable. all 21 lineages →

DSCR8-ACC (DFS)

Kaplan–Meier survival curve for DSCR8 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes DSCR8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
DSCR8 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for DSCR8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DSCR8 shows lower tumor expression in KIRC and KICH and higher tumor expression in LIHC, BRCA, STAD and UCEC. The KIRC box plot shows higher DSCR8 RNA expression in normal versus tumor tissue (log2 FC = −0.262, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCAllIV−0.262<.00111view →
KICHAllII,III,IV−0.222<.00110view →
LIHCAllAll+0.696<.0018view →
BRCAFemaleAll+0.405<.0016view →
STADAllAll+0.703.0192view →
UCECAllAll+0.510.0232view →
Green = repressed in tumor. all 8 lineages →

DSCR8-KIRC

Tumor-vs-normal expression box plot for DSCR8 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with DSCR8 in patient tissues and cancer cell lines. In patient samples, DSCR8 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, DSCR8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BREAST.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,876TGCT (5187)view →
Function (RNA)6,398SKCM (2192)view →
Mutation
RNA52UCEC (52)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
CRISPR1,339LUNG_SCLC (139)view →
shRNA1,135BREAST (120)view →