MCTP1

associated omics data
multiple C2 and transmembrane domain containing 1Genealiases: []

Q-omics provides the consensus-scored MCTP1 profile across patient tissues and cancer cell-line models. MCTP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, MCTP1 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, MCTP1 RNA expression shows 17,811 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, HNSC, and UVM as cancer lineages where MCTP1 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 MCTP1 survival associations across molecular data types. MCTP1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (7) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MCTP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22KIRP (108)view →
MutationKaplan–Meier7UCEC (28)view →
Protein (mass-spec)Kaplan–Meier1LSCC (2)view →
This table ranks reproducible MCTP1 RNA expression–survival associations across cancer types. High MCTP1 expression shows unfavorable associations in KIRP, KICH, UVM and GBM, but favorable associations in ESCA and SKCM. 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 MCTP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSQuartileII,III,IV0.0960.702<.001108view →
KICHDFSMedianII,III,IV0.5580.959.00168view →
ESCADFSQuartileII,III,IV0.6170.225<.00154view →
UVMDFSTertileII,III,IV0.5450.990.00348view →
SKCMOSQuartileAll0.8140.664.00142view →
GBMDFSMedianAll0.1900.320.00136view →
Pink = unfavorable, green = favorable. all 22 lineages →

MCTP1-KIRP (DFS)

Kaplan–Meier survival curve for MCTP1 RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MCTP1 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.
MCTP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13HNSC (11)view →
This table ranks reproducible tumor–normal expression differences for MCTP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MCTP1 shows lower tumor expression in LUSC, BRCA and KICH and higher tumor expression in HNSC, LIHC and KIRC. The HNSC box plot shows higher MCTP1 RNA expression in tumor versus normal tissue (log2 FC = +1.407, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCFemaleIII,IV+1.407<.00111view →
LIHCFemaleII,III,IV+0.828<.0018view →
LUSCFemaleAll−1.008<.0017view →
BRCAAllIII,IV−0.789<.0016view →
KIRCAllAll+0.499<.0016view →
KICHAllAll−0.921<.0015view →
Green = repressed in tumor. all 13 lineages →

MCTP1-HNSC

Tumor-vs-normal expression box plot for MCTP1 in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MCTP1 in patient tissues and cancer cell lines. In patient samples, MCTP1 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, MCTP1 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 LARGE_INTESTINE and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA17,811UVM (7489)view →
Protein (mass-spec)15,961LSCC (6583)view →
Protein (mass-spec)
Protein (mass-spec)13,063GBM (11694)view →
RNA4,486GBM (2771)view →
Mutation
RNA4,007UCEC (3097)view →
Protein (RPPA)42UCEC (32)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,956BLOOD_Lymphoma (160)view →
RNA1,661LARGE_INTESTINE (362)view →
RNA
RNA8,392BLOOD_Leukemia (1980)view →
Function (RNA)3,586BLOOD_Leukemia (974)view →
Mutation
Mutation4,599LARGE_INTESTINE (3908)view →
RNA861LARGE_INTESTINE (834)view →
shRNA
RNA1,632BREAST (320)view →
shRNA1,515BREAST (223)view →