CFAP92

associated omics data
cilia and flagella associated protein 92 (putative)Genealiases: FAP92 · KIAA1257

Q-omics provides the consensus-scored CFAP92 profile across patient tissues and cancer cell-line models. CFAP92 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, CFAP92 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, CFAP92 RNA expression shows 16,204 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight BLCA, COAD, and TGCT as cancer lineages where CFAP92 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 CFAP92 survival associations across molecular data types. CFAP92 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CFAP92 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26BLCA (70)view →
MutationKaplan–Meier6LUAD (21)view →
This table ranks reproducible CFAP92 RNA expression–survival associations across cancer types. High CFAP92 expression shows unfavorable associations in BLCA, LGG, ACC, MESO, SKCM and UCS. The BLCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify BLCA as the clearest survival context for CFAP92 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
BLCADFSQuartileAll0.5930.749.00670view →
LGGOSMedianAll0.7540.864<.00144view →
ACCDFSQuartileIV0.0330.434.00338view →
MESOOSQuartileAll0.2790.747.00134view →
SKCMOSMedianAll0.8330.912.00434view →
UCSOSMedianIV0.4040.752.01330view →
Pink = unfavorable, green = favorable. all 26 lineages →

CFAP92-BLCA (DFS)

Kaplan–Meier survival curve for CFAP92 RNA expression in BLCA: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CFAP92 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in COAD for RNA.
CFAP92 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14COAD (12)view →
This table ranks reproducible tumor–normal expression differences for CFAP92. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CFAP92 shows lower tumor expression in KICH and KIRC and higher tumor expression in COAD, BRCA, HNSC and STAD. The COAD box plot shows higher CFAP92 RNA expression in tumor versus normal tissue (log2 FC = +1.580, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleIV+1.580<.00112view →
KICHAllIII,IV−0.292<.00110view →
BRCAAllAll+0.588<.0018view →
HNSCMaleAll+0.478<.0018view →
KIRCMaleII,III,IV−0.106<.0016view →
STADMaleII,III,IV+0.515.0015view →
Green = repressed in tumor. all 14 lineages →

CFAP92-COAD

Tumor-vs-normal expression box plot for CFAP92 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with CFAP92 in patient tissues and cancer cell lines. In patient samples, CFAP92 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, CFAP92 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,204TGCT (4512)view →
Protein (mass-spec)16,030LSCC (9495)view →
Mutation
RNA1,532UCEC (794)view →
Protein (RPPA)24UCEC (21)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,894PANCREAS (187)view →
RNA1,271BLOOD_Leukemia (193)view →
RNA
RNA7,255SOFT_TISSUE (1475)view →
Function (RNA)3,022BONE (708)view →
Mutation
Mutation1,458BLOOD_Leukemia (901)view →
RNA12LARGE_INTESTINE (5)view →