MT1XP1

associated omics data
Gene

Q-omics provides the consensus-scored MT1XP1 profile across patient tissues and cancer cell-line models. MT1XP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MT1XP1 is differentially expressed in 15, with the highest sampling consensus in KIRP. Additionally, MT1XP1 RNA expression shows 13,848 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, KIRP, and TGCT as cancer lineages where MT1XP1 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 MT1XP1 survival associations across molecular data types. MT1XP1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MT1XP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22KIRC (99)view →
This table ranks reproducible MT1XP1 RNA expression–survival associations across cancer types. High MT1XP1 expression shows unfavorable associations in KIRC, HNSC, ACC, KIRP, COAD and DLBC. 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 MT1XP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSMedianAll0.5250.722<.00199view →
HNSCDFSQuartileAll0.5120.675.00276view →
ACCOSTertileAll0.7680.980.00145view →
KIRPOSMedianII,III,IV0.6290.841.00629view →
COADOSMedianIII,IV0.5120.858<.00123view →
DLBCDFSQuartileII,III,IV0.4750.971.01020view →
Pink = unfavorable, green = favorable. all 22 lineages →

MT1XP1-KIRC (DFS)

Kaplan–Meier survival curve for MT1XP1 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MT1XP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRP for RNA.
MT1XP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KIRP (11)view →
This table ranks reproducible tumor–normal expression differences for MT1XP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MT1XP1 shows lower tumor expression in KIRP, KICH, THCA, LIHC and BRCA and higher tumor expression in UCEC. The KIRP box plot shows higher MT1XP1 RNA expression in normal versus tumor tissue (log2 FC = −1.647, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRPAllII,III,IV−1.647<.00111view →
KICHAllIII,IV−1.839<.00110view →
THCAMaleAll−1.654<.00110view →
LIHCFemaleII,III,IV−3.170<.0019view →
UCECAllAll+1.245<.0016view →
BRCAFemaleAll−0.831<.0016view →
Green = repressed in tumor. all 15 lineages →

MT1XP1-KIRP

Tumor-vs-normal expression box plot for MT1XP1 in KIRP.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MT1XP1 in patient tissues and cancer cell lines. In patient samples, MT1XP1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA13,848TGCT (4248)view →
Protein (mass-spec)9,238LSCC (2446)view →