LCMT1-AS1

associated omics data
LCMT1 antisense RNA 1Genealiases: []

Q-omics provides the consensus-scored LCMT1-AS1 profile across patient tissues and cancer cell-line models. LCMT1-AS1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, LCMT1-AS1 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, LCMT1-AS1 RNA expression shows 18,685 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, KICH, and ACC as cancer lineages where LCMT1-AS1 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 LCMT1-AS1 survival associations across molecular data types. LCMT1-AS1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
LCMT1-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21UVM (110)view →
This table ranks reproducible LCMT1-AS1 RNA expression–survival associations across cancer types. High LCMT1-AS1 expression shows unfavorable associations in KIRC, COAD and ACC, but favorable associations in UVM, PAAD and LUAD. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify UVM as the clearest survival context for LCMT1-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSMedianAll0.9100.563<.001110view →
KIRCOSMedianAll0.5580.726<.00192view →
PAADDFSTertileAll0.4430.187<.00175view →
COADOSQuartileII,III,IV0.4570.774.00259view →
LUADOSMedianAll0.8500.771.00458view →
ACCDFSTertileAll0.5740.818.00636view →
Pink = unfavorable, green = favorable. all 21 lineages →

LCMT1-AS1-UVM (DFS)

Kaplan–Meier survival curve for LCMT1-AS1 RNA expression in UVM: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes LCMT1-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
LCMT1-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11THCA (11)view →
This table ranks reproducible tumor–normal expression differences for LCMT1-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LCMT1-AS1 shows lower tumor expression in KICH, THCA, KIRC, BRCA and UCEC and higher tumor expression in HNSC. The KICH box plot shows higher LCMT1-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.184, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHMaleAll−1.184<.00111view →
THCAMaleIII,IV−0.975<.00111view →
KIRCMaleII,III,IV−0.657<.00111view →
BRCAAllAll−0.158<.0016view →
UCECAllAll−0.253.0124view →
HNSCAllII,III,IV+0.197.0133view →
Green = repressed in tumor. all 11 lineages →

LCMT1-AS1-KICH

Tumor-vs-normal expression box plot for LCMT1-AS1 in KICH.

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Cross-omics associations

This table shows molecular features associated with LCMT1-AS1 in patient tissues and cancer cell lines. In patient samples, LCMT1-AS1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,685ACC (8744)view →
Protein (mass-spec)8,138GBM (3077)view →