MFAP2

associated omics data
microfibril associated protein 2Genealiases: MAGP · MAGP-1 · MAGP1

Q-omics provides the consensus-scored MFAP2 profile across patient tissues and cancer cell-line models. MFAP2 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MFAP2 is differentially expressed in 17, with the highest sampling consensus in HNSC. Additionally, MFAP2 protein abundance shows 19,264 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight ACC, HNSC, and PDAC as cancer lineages where MFAP2 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 MFAP2 survival associations across molecular data types. MFAP2 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MFAP2 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25ACC (80)view →
Protein (mass-spec)Kaplan–Meier8CCRCC (49)view →
MutationKaplan–Meier2LIHC (12)view →
This table ranks reproducible MFAP2 RNA expression–survival associations across cancer types. High MFAP2 expression shows unfavorable associations in ACC, KIRP, BLCA, LGG and STAD, but favorable associations in UVM. 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 MFAP2 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileII,III,IV0.1150.711<.00180view →
UVMOSQuartileAll0.9020.471<.00171view →
KIRPOSQuartileAll0.4171.000.00159view →
BLCADFSQuartileAll0.2940.499.00456view →
LGGOSMedianAll0.7140.901<.00154view →
STADOSMedianAll0.5040.647.01040view →
Pink = unfavorable, green = favorable. all 25 lineages →

MFAP2-ACC (DFS)

Kaplan–Meier survival curve for MFAP2 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MFAP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and COAD for protein.
MFAP2 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot17HNSC (12)view →
Protein (mass-spec)Box plot7COAD (11)view →
This table ranks reproducible tumor–normal expression differences for MFAP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MFAP2 shows lower tumor expression in KIRC and higher tumor expression in HNSC, COAD, LUAD, BLCA and THCA. The HNSC box plot shows higher MFAP2 RNA expression in tumor versus normal tissue (log2 FC = +4.043, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCFemaleIV+4.043<.00112view →
COADMaleIII,IV+2.773<.00111view →
LUADMaleIII,IV+2.058<.00111view →
BLCAAllAll+1.817<.0019view →
THCAFemaleII,III,IV+1.653<.0019view →
KIRCMaleII,III,IV−1.039<.0018view →
Green = repressed in tumor. all 17 lineages →

MFAP2-HNSC

Tumor-vs-normal expression box plot for MFAP2 in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MFAP2 in patient tissues and cancer cell lines. In patient samples, MFAP2 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, MFAP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in STOMACH, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)19,264PDAC (6773)view →
RNA11,089PDAC (3157)view →
RNA
RNA16,360TGCT (6028)view →
Protein (mass-spec)14,688PDAC (4545)view →
Mutation
RNA46UCEC (42)view →
Infiltrating cells1LIHC (1)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,708STOMACH (170)view →
RNA1,362BLOOD_Lymphoma (312)view →
RNA
RNA5,229SOFT_TISSUE (852)view →
Function (RNA)2,936SOFT_TISSUE (564)view →
shRNA
shRNA1,515LUNG_SCLC (428)view →
RNA1,077BREAST (271)view →
Mutation
Mutation193LARGE_INTESTINE (142)view →