CNTF

associated omics data
Gene

Q-omics provides the consensus-scored CNTF profile across patient tissues and cancer cell-line models. CNTF expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, CNTF is differentially expressed in 9, with the highest sampling consensus in BRCA. Additionally, CNTF RNA expression shows 18,927 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, BRCA, and UVM as cancer lineages where CNTF 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 CNTF survival associations across molecular data types. CNTF RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CNTF data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24ACC (84)view →
MutationKaplan–Meier7LUSC (12)view →
This table ranks reproducible CNTF RNA expression–survival associations across cancer types. High CNTF expression shows unfavorable associations in ACC, MESO, UVM and KICH, but favorable associations in READ and UCS. The ACC 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 ACC as the clearest survival context for CNTF RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileIII,IV0.1320.769<.00184view →
MESOOSQuartileAll0.3280.640<.00167view →
UVMDFSMedianII,III,IV0.4320.758<.00162view →
READDFSQuartileII,III,IV1.0000.450.00362view →
KICHOSQuartileAll0.5941.000.00259view →
UCSDFSMedianIV0.9520.367.00136view →
Pink = unfavorable, green = favorable. all 24 lineages →

CNTF-ACC (OS)

Kaplan–Meier survival curve for CNTF RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CNTF tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in BRCA for RNA.
CNTF data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot9BRCA (8)view →
This table ranks reproducible tumor–normal expression differences for CNTF. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CNTF shows lower tumor expression in BRCA, KIRC and THCA and higher tumor expression in LIHC, CHOL and STAD. The BRCA box plot shows higher CNTF RNA expression in normal versus tumor tissue (log2 FC = −0.358, t-test p = .006).
LineageGenderStageFold-changepSampling consensus
BRCAAllIII,IV−0.358.0068view →
LIHCMaleAll+0.286<.0016view →
CHOLAllAll+0.653.0084view →
STADAllII,III,IV+0.338.0114view →
KIRCMaleIII,IV−0.242.0094view →
THCAAllIV−0.392.0183view →
Green = repressed in tumor. all 9 lineages →

CNTF-BRCA

Tumor-vs-normal expression box plot for CNTF in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with CNTF in patient tissues and cancer cell lines. In patient samples, CNTF shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, CNTF RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,927UVM (7737)view →
Function (RNA)7,146OV (4593)view →
Mutation
RNA340UCEC (306)view →
Protein (RPPA)15UCEC (15)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,000LUNG_NSCLC_LUAD (256)view →
RNA1,280LARGE_INTESTINE (219)view →
RNA
RNA11,206BLOOD_Leukemia (5661)view →
Function (RNA)4,242BLOOD_Leukemia (1439)view →
shRNA
shRNA1,703SOFT_TISSUE (191)view →
RNA1,540UPPER_AERODIGESTIVE_TRACT (185)view →
Mutation
Mutation513SKIN (159)view →
RNA11LUNG_SCLC (5)view →