NOTUM

associated omics data
Gene

Q-omics provides the consensus-scored NOTUM profile across patient tissues and cancer cell-line models. NOTUM expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NOTUM is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, NOTUM RNA expression shows 14,683 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, HNSC, and TGCT as cancer lineages where NOTUM 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 NOTUM survival associations across molecular data types. NOTUM RNA expression shows survival associations in the most cancer types (28), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NOTUM data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier28KIRC (140)view →
MutationKaplan–Meier3HNSC (24)view →
Protein (mass-spec)Kaplan–Meier1HNSC (12)view →
This table ranks reproducible NOTUM RNA expression–survival associations across cancer types. High NOTUM expression shows unfavorable associations in KIRC, UVM, KIRP and ACC, but favorable associations in HNSC and LGG. The KIRC 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 KIRC as the clearest survival context for NOTUM RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianII,III,IV0.4400.611<.001140view →
UVMOSMedianAll0.4350.816<.001127view →
KIRPOSTertileAll0.5510.769<.001126view →
ACCDFSQuartileAll0.2530.754<.00166view →
HNSCDFSMedianIV0.7410.539<.00150view →
LGGDFSMedianAll0.8910.774<.00140view →
Pink = unfavorable, green = favorable. all 28 lineages →

NOTUM-KIRC (OS)

Kaplan–Meier survival curve for NOTUM RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes NOTUM tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
NOTUM data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13HNSC (11)view →
This table ranks reproducible tumor–normal expression differences for NOTUM. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NOTUM shows lower tumor expression in LUAD, KIRC and KICH and higher tumor expression in HNSC, COAD and UCEC. The HNSC box plot shows higher NOTUM RNA expression in tumor versus normal tissue (log2 FC = +1.007, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleIII,IV+1.007<.00111view →
COADFemaleAll+3.717<.00110view →
LUADAllIII,IV−1.660<.0019view →
KIRCMaleII,III,IV−0.596<.0018view →
UCECAllAll+2.796<.0016view →
KICHAllAll−1.157<.0016view →
Green = repressed in tumor. all 13 lineages →

NOTUM-HNSC

Tumor-vs-normal expression box plot for NOTUM in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with NOTUM in patient tissues and cancer cell lines. In patient samples, NOTUM 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, NOTUM RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA14,683TGCT (6035)view →
Function (RNA)7,117HNSC (4099)view →
Protein (mass-spec)
RNA2,948UCEC (2349)view →
Protein (mass-spec)2,818UCEC (2317)view →
Mutation
RNA886LUSC (322)view →
Protein (RPPA)18UCEC (18)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,991LUNG_NSCLC_LUAD (158)view →
RNA1,911UPPER_AERODIGESTIVE_TRACT (694)view →
RNA
RNA5,126BLOOD_Leukemia (2325)view →
Function (RNA)2,375BLOOD_Leukemia (1127)view →
Mutation
Mutation4,412LARGE_INTESTINE (2686)view →
RNA11LARGE_INTESTINE (4)view →
shRNA
shRNA1,697SKIN (200)view →
RNA1,561SKIN (359)view →