OTOS

associated omics data
Gene

Q-omics provides the consensus-scored OTOS profile across patient tissues and cancer cell-line models. OTOS expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, OTOS is differentially expressed in 6, with the highest sampling consensus in THCA. Additionally, OTOS RNA expression shows 9,009 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight COAD, THCA, and TGCT as cancer lineages where OTOS 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 OTOS survival associations across molecular data types. OTOS RNA expression shows survival associations in the most cancer types (20), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
OTOS data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20COAD (108)view →
MutationKaplan–Meier4CESC (24)view →
This table ranks reproducible OTOS RNA expression–survival associations across cancer types. High OTOS expression shows unfavorable associations in COAD, STAD, MESO, LGG and SARC, but favorable associations in ESCA. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify COAD as the clearest survival context for OTOS RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
COADDFSTertileIV0.2370.541.001108view →
STADDFSTertileII,III,IV0.4950.675.00199view →
MESODFSTertileAll0.2030.427<.00196view →
LGGDFSMedianAll0.6480.825<.00154view →
SARCOSQuartileAll0.7520.880.00135view →
ESCADFSTertileII,III,IV0.5220.294.01527view →
Pink = unfavorable, green = favorable. all 20 lineages →

OTOS-COAD (DFS)

Kaplan–Meier survival curve for OTOS RNA expression in COAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes OTOS 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 THCA for RNA.
OTOS data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6THCA (11)view →
This table ranks reproducible tumor–normal expression differences for OTOS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OTOS shows lower tumor expression in THCA and KICH and higher tumor expression in LUAD, LUSC, UCEC and HNSC. The THCA box plot shows higher OTOS RNA expression in normal versus tumor tissue (log2 FC = −4.990, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAMaleIV−4.990<.00111view →
KICHAllII,III,IV−0.220.0025view →
LUADAllAll+0.136.0025view →
LUSCAllAll+0.107.0023view →
UCECAllAll+0.782.0242view →
HNSCAllAll+0.148.0431view →
Green = repressed in tumor. all 6 lineages →

OTOS-THCA

Tumor-vs-normal expression box plot for OTOS in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with OTOS in patient tissues and cancer cell lines. In patient samples, OTOS 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, OTOS RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA9,009TGCT (3675)view →
Function (RNA)7,008STAD (3437)view →
Mutation
RNA150SKCM (106)view →
Infiltrating cells1UCEC (1)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,947LIVER (199)view →
RNA1,361LARGE_INTESTINE (263)view →
RNA
RNA1,409BONE (490)view →
Function (RNA)517BONE (203)view →