LANCL1-AS1

associated omics data
Gene

Q-omics provides the consensus-scored LANCL1-AS1 profile across patient tissues and cancer cell-line models. LANCL1-AS1 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, LANCL1-AS1 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, LANCL1-AS1 RNA expression shows 20,997 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCEC, LUAD, and THYM as cancer lineages where LANCL1-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 LANCL1-AS1 survival associations across molecular data types. LANCL1-AS1 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
LANCL1-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier18UCEC (66)view →
This table ranks reproducible LANCL1-AS1 RNA expression–survival associations across cancer types. High LANCL1-AS1 expression shows unfavorable associations in UCEC, UVM, KICH and LUSC, but favorable associations in UCS and SKCM. The UCEC 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 UCEC as the clearest survival context for LANCL1-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCECDFSMedianAll0.5610.733<.00166view →
UCSDFSQuartileII,III,IV0.6900.107.00150view →
UVMDFSTertileAll0.3361.000.00335view →
KICHOSQuartileAll0.6981.000.01128view →
SKCMOSTertileIII,IV0.7660.596.01028view →
LUSCDFSMedianIII,IV0.3720.871.00719view →
Pink = unfavorable, green = favorable. all 18 lineages →

LANCL1-AS1-UCEC (DFS)

Kaplan–Meier survival curve for LANCL1-AS1 RNA expression in UCEC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes LANCL1-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.
LANCL1-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11THCA (11)view →
This table ranks reproducible tumor–normal expression differences for LANCL1-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LANCL1-AS1 shows lower tumor expression in LUAD, THCA, LUSC, UCEC, BRCA and KICH. The LUAD box plot shows higher LANCL1-AS1 RNA expression in normal versus tumor tissue (log2 FC = −3.496, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADFemaleIII,IV−3.496<.00111view →
THCAMaleII,III,IV−0.641<.00111view →
LUSCAllIII,IV−3.048<.0019view →
UCECAllII,III,IV−0.388<.0016view →
BRCAAllAll−0.220<.0016view →
KICHAllAll−0.231<.0015view →
Green = repressed in tumor. all 11 lineages →

LANCL1-AS1-LUAD

Tumor-vs-normal expression box plot for LANCL1-AS1 in LUAD.

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Cross-omics associations

This table shows molecular features associated with LANCL1-AS1 in patient tissues and cancer cell lines. In patient samples, LANCL1-AS1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,997THYM (8000)view →
Protein (mass-spec)16,452GBM (8346)view →