NINJ2-AS1

associated omics data
NINJ2 antisense RNA 1Genealiases: []

Q-omics provides the consensus-scored NINJ2-AS1 profile across patient tissues and cancer cell-line models. NINJ2-AS1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, NINJ2-AS1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, NINJ2-AS1 RNA expression shows 17,918 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCS, KIRC, and UVM as cancer lineages where NINJ2-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 NINJ2-AS1 survival associations across molecular data types. NINJ2-AS1 RNA expression shows survival associations in the most cancer types (26). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NINJ2-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26UCS (64)view →
This table ranks reproducible NINJ2-AS1 RNA expression–survival associations across cancer types. High NINJ2-AS1 expression shows unfavorable associations in GBM, but favorable associations in UCS, ACC, KIRP, HNSC and KIRC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .004). Together, the overview and detailed table identify UCS as the clearest survival context for NINJ2-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCSDFSQuartileII,III,IV0.6070.203.00464view →
ACCOSMedianIV0.8420.244.00156view →
KIRPOSQuartileAll0.9590.792<.00141view →
HNSCDFSMedianIV0.7230.556.00135view →
GBMOSQuartileAll0.2820.500<.00133view →
KIRCDFSQuartileAll0.9350.785.00630view →
Pink = unfavorable, green = favorable. all 26 lineages →

NINJ2-AS1-UCS (DFS)

Kaplan–Meier survival curve for NINJ2-AS1 RNA expression in UCS: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes NINJ2-AS1 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 KIRC for RNA.
NINJ2-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10KIRC (12)view →
This table ranks reproducible tumor–normal expression differences for NINJ2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NINJ2-AS1 shows lower tumor expression in LUAD, LUSC, BRCA, THCA and UCEC and higher tumor expression in KIRC. The KIRC box plot shows higher NINJ2-AS1 RNA expression in tumor versus normal tissue (log2 FC = +0.490, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleAll+0.490<.00112view →
LUADFemaleIII,IV−1.552<.0019view →
LUSCAllIII,IV−1.473<.0018view →
BRCAAllIII,IV−0.601<.0016view →
THCAAllAll−0.357<.0016view →
UCECAllAll−0.750<.0014view →
Green = repressed in tumor. all 10 lineages →

NINJ2-AS1-KIRC

Tumor-vs-normal expression box plot for NINJ2-AS1 in KIRC.

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Cross-omics associations

This table shows molecular features associated with NINJ2-AS1 in patient tissues and cancer cell lines. In patient samples, NINJ2-AS1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA17,918UVM (8104)view →
Protein (mass-spec)10,430GBM (6109)view →