MINAR1

associated omics data
membrane integral NOTCH2 associated receptor 1Genealiases: KIAA1024 · UBTOR

Q-omics provides the consensus-scored MINAR1 profile across patient tissues and cancer cell-line models. MINAR1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, MINAR1 is differentially expressed in 13, with the highest sampling consensus in LUAD. Additionally, MINAR1 RNA expression shows 19,538 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, LUAD, and UVM as cancer lineages where MINAR1 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 MINAR1 survival associations across molecular data types. MINAR1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MINAR1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26KIRP (80)view →
MutationKaplan–Meier4ESCA (36)view →
This table ranks reproducible MINAR1 RNA expression–survival associations across cancer types. High MINAR1 expression shows unfavorable associations in KIRP, BRCA, ACC, KIRC and MESO, but favorable associations in UCS. The KIRP 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 KIRP as the clearest survival context for MINAR1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSMedianAll0.7710.952<.00180view →
BRCAOSMedianII,III,IV0.4960.637.00366view →
ACCDFSMedianII,III,IV0.3570.716<.00149view →
UCSOSMedianIV0.7320.224.01848view →
KIRCDFSMedianAll0.5310.702<.00142view →
MESODFSMedianAll0.2910.429.01041view →
Pink = unfavorable, green = favorable. all 26 lineages →

MINAR1-KIRP (DFS)

Kaplan–Meier survival curve for MINAR1 RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MINAR1 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 LUAD for RNA.
MINAR1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for MINAR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MINAR1 shows higher tumor expression in LUAD, BLCA, COAD, LUSC, HNSC and BRCA. The LUAD box plot shows higher MINAR1 RNA expression in tumor versus normal tissue (log2 FC = +0.636, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADMaleAll+0.636<.0019view →
BLCAAllAll+0.532.0019view →
COADFemaleII,III,IV+0.390<.0019view →
LUSCMaleAll+0.697<.0018view →
HNSCFemaleIII,IV+0.635.0058view →
BRCAAllII,III,IV+0.596<.0016view →
Green = repressed in tumor. all 13 lineages →

MINAR1-LUAD

Tumor-vs-normal expression box plot for MINAR1 in LUAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MINAR1 in patient tissues and cancer cell lines. In patient samples, MINAR1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MINAR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,538UVM (9050)view →
Protein (mass-spec)10,835BRCA (2393)view →
Mutation
RNA3,812UCEC (2941)view →
Protein (RPPA)56UCEC (44)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,797BLOOD_Lymphoma (142)view →
RNA1,319BLOOD_Lymphoma (202)view →
RNA
RNA8,178BLOOD_Leukemia (2652)view →
Function (RNA)2,520LARGE_INTESTINE (540)view →
Mutation
Mutation6,316LARGE_INTESTINE (4411)view →
RNA1,001LARGE_INTESTINE (988)view →
shRNA
RNA1,395LUNG_SCLC (398)view →
shRNA1,277STOMACH (208)view →