MT-TM

associated omics data
Gene

Q-omics provides the consensus-scored MT-TM profile across patient tissues and cancer cell-line models. MT-TM expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MT-TM is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, MT-TM RNA expression shows 11,357 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, COAD, and TGCT as cancer lineages where MT-TM 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 MT-TM survival associations across molecular data types. MT-TM RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MT-TM data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23UVM (113)view →
This table ranks reproducible MT-TM RNA expression–survival associations across cancer types. High MT-TM expression shows unfavorable associations in UVM, KIRC, UCEC, MESO and PRAD, but favorable associations in BLCA. The UVM 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 UVM as the clearest survival context for MT-TM RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMOSTertileII,III,IV0.3640.937<.001113view →
KIRCDFSQuartileIII,IV0.4710.667.00261view →
BLCADFSTertileII,III,IV0.5790.411.00153view →
UCECDFSTertileIV0.2660.702.01020view →
MESODFSQuartileIII,IV0.0960.580.01017view →
PRADOSQuartileAll0.8490.934.00212view →
Pink = unfavorable, green = favorable. all 23 lineages →

MT-TM-UVM (OS)

Kaplan–Meier survival curve for MT-TM RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MT-TM tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
MT-TM data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10HNSC (9)view →
This table ranks reproducible tumor–normal expression differences for MT-TM. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MT-TM shows lower tumor expression in HNSC, KIRC and KIRP and higher tumor expression in COAD, LIHC and LUAD. The COAD box plot shows higher MT-TM RNA expression in tumor versus normal tissue (log2 FC = +2.740, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleAll+2.740<.0019view →
HNSCAllIV−0.909<.0019view →
KIRCAllAll−1.108<.0018view →
KIRPAllII,III,IV−0.999.0028view →
LIHCAllII,III,IV+0.781<.0017view →
LUADFemaleII,III,IV+1.443.0025view →
Green = repressed in tumor. all 10 lineages →

MT-TM-COAD

Tumor-vs-normal expression box plot for MT-TM in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MT-TM in patient tissues and cancer cell lines. In patient samples, MT-TM 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
RNA11,357TGCT (2564)view →
Function (RNA)6,929LGG (2413)view →