CNIH3-AS2

associated omics data
CNIH3 antisense RNA 2Genealiases: []

Q-omics provides the consensus-scored CNIH3-AS2 profile across patient tissues and cancer cell-line models. CNIH3-AS2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, CNIH3-AS2 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, CNIH3-AS2 RNA expression shows 12,019 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight MESO, HNSC, and THYM as cancer lineages where CNIH3-AS2 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 CNIH3-AS2 survival associations across molecular data types. CNIH3-AS2 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.
CNIH3-AS2 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23MESO (138)view →
This table ranks reproducible CNIH3-AS2 RNA expression–survival associations across cancer types. High CNIH3-AS2 expression shows unfavorable associations in MESO, UVM, KIRC, LGG and UCS, but favorable associations in KIRP. The MESO 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 MESO as the clearest survival context for CNIH3-AS2 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
MESOOSMedianAll0.4280.656<.001138view →
UVMDFSMedianAll0.4170.766<.001119view →
KIRCDFSMedianAll0.5110.696<.001113view →
LGGOSMedianAll0.7390.879<.00138view →
KIRPOSTertileAll0.9790.835.00131view →
UCSDFSTertileIV0.2370.818.02430view →
Pink = unfavorable, green = favorable. all 23 lineages →

CNIH3-AS2-MESO (OS)

Kaplan–Meier survival curve for CNIH3-AS2 RNA expression in MESO: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes CNIH3-AS2 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 HNSC for RNA.
CNIH3-AS2 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11HNSC (12)view →
This table ranks reproducible tumor–normal expression differences for CNIH3-AS2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CNIH3-AS2 shows higher tumor expression in HNSC, LUAD, COAD, BLCA, BRCA and LUSC. The HNSC box plot shows higher CNIH3-AS2 RNA expression in tumor versus normal tissue (log2 FC = +0.476, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+0.476<.00112view →
LUADFemaleII,III,IV+1.604<.0019view →
COADMaleAll+0.636<.0019view →
BLCAAllIII,IV+0.897.0057view →
BRCAAllIII,IV+0.585<.0016view →
LUSCMaleII,III,IV+1.271<.0015view →
Green = repressed in tumor. all 11 lineages →

CNIH3-AS2-HNSC

Tumor-vs-normal expression box plot for CNIH3-AS2 in HNSC.

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Cross-omics associations

This table shows molecular features associated with CNIH3-AS2 in patient tissues and cancer cell lines. In patient samples, CNIH3-AS2 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
RNA12,019THYM (3561)view →
Protein (mass-spec)7,241GBM (1731)view →