MMP20

associated omics data
matrix metallopeptidase 20Genealiases: AI2A2 · MMP-20

Q-omics provides the consensus-scored MMP20 profile across patient tissues and cancer cell-line models. MMP20 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MMP20 is differentially expressed in 11, with the highest sampling consensus in BRCA. Additionally, MMP20 RNA expression shows 6,949 significant pathway-activity associations, with the highest sampling consensus in BRCA. Together, these results highlight ACC, and BRCA as cancer lineages where MMP20 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 MMP20 survival associations across molecular data types. MMP20 RNA expression shows survival associations in the most cancer types (18), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MMP20 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier18ACC (117)view →
MutationKaplan–Meier5LUAD (25)view →
This table ranks reproducible MMP20 RNA expression–survival associations across cancer types. High MMP20 expression shows unfavorable associations in ACC, KIRP, CESC, LIHC, LGG and PCPG. The ACC 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 ACC as the clearest survival context for MMP20 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileAll0.2270.681<.001117view →
KIRPDFSMedianAll0.7440.935<.001104view →
CESCOSTertileIV0.1990.748<.00186view →
LIHCOSMedianAll0.6760.835<.00163view →
LGGDFSTertileAll0.5480.759<.00136view →
PCPGDFSTertileAll0.4630.898<.00136view →
Pink = unfavorable, green = favorable. all 18 lineages →

MMP20-ACC (OS)

Kaplan–Meier survival curve for MMP20 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MMP20 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in BRCA for RNA.
MMP20 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11BRCA (8)view →
This table ranks reproducible tumor–normal expression differences for MMP20. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MMP20 shows lower tumor expression in BRCA and KIRP and higher tumor expression in COAD, LUSC, THCA and LUAD. The BRCA box plot shows higher MMP20 RNA expression in normal versus tumor tissue (log2 FC = −0.493, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BRCAAllIII,IV−0.493<.0018view →
COADAllII,III,IV+0.273<.0016view →
LUSCMaleAll+0.150<.0016view →
KIRPAllAll−0.122.0016view →
THCAAllIII,IV+0.127.0194view →
LUADAllAll+0.109.0024view →
Green = repressed in tumor. all 11 lineages →

MMP20-BRCA

Tumor-vs-normal expression box plot for MMP20 in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MMP20 in patient tissues and cancer cell lines. In patient samples, MMP20 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, MMP20 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Function (RNA)6,949BRCA (3227)view →
RNA6,526THCA (1836)view →
Protein (mass-spec)
Protein (mass-spec)3,176GBM (3176)view →
Function (mass-spec)856GBM (856)view →
Mutation
RNA1,377UCEC (1086)view →
Protein (RPPA)47UCEC (46)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,926UPPER_AERODIGESTIVE_TRACT (150)view →
RNA1,395BLOOD_Lymphoma (144)view →
Mutation
Mutation2,793LARGE_INTESTINE (1726)view →
Drug20LARGE_INTESTINE (20)view →
shRNA
shRNA2,081BLOOD_Leukemia (294)view →
RNA1,977BREAST (343)view →
RNA
RNA2,009LARGE_INTESTINE (634)view →
Function (RNA)856LARGE_INTESTINE (394)view →