ANKRD45

associated omics data
Gene

Q-omics provides the consensus-scored ANKRD45 profile across patient tissues and cancer cell-line models. ANKRD45 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ANKRD45 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, ANKRD45 RNA expression shows 16,404 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight UVM, KIRC, and KIRP as cancer lineages where ANKRD45 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 ANKRD45 survival associations across molecular data types. ANKRD45 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
ANKRD45 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25UVM (61)view →
MutationKaplan–Meier6BLCA (30)view →
This table ranks reproducible ANKRD45 RNA expression–survival associations across cancer types. High ANKRD45 expression shows unfavorable associations in LGG, but favorable associations in UVM, SKCM, LUAD, LUSC and ACC. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UVM as the clearest survival context for ANKRD45 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMDFSTertileII,III,IV0.7940.352.00161view →
SKCMOSTertileAll0.4420.242<.00147view →
LGGOSMedianAll0.7540.868<.00141view →
LUADDFSMedianII,III,IV0.6540.368<.00140view →
LUSCDFSTertileIII,IV0.5810.239.00239view →
ACCDFSTertileII,III,IV0.5510.199.00825view →
Pink = unfavorable, green = favorable. all 25 lineages →

ANKRD45-UVM (DFS)

Kaplan–Meier survival curve for ANKRD45 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes ANKRD45 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 KIRC for RNA.
ANKRD45 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11KIRC (12)view →
This table ranks reproducible tumor–normal expression differences for ANKRD45. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANKRD45 shows lower tumor expression in KIRC, KICH, LUSC, BRCA and COAD and higher tumor expression in LIHC. The KIRC box plot shows higher ANKRD45 RNA expression in normal versus tumor tissue (log2 FC = −1.145, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleII,III,IV−1.145<.00112view →
KICHMaleIV−1.960<.00111view →
LUSCMaleII,III,IV−1.214<.0016view →
BRCAFemaleAll−0.232<.0016view →
LIHCAllAll+0.326<.0014view →
COADFemaleAll−0.323.0054view →
Green = repressed in tumor. all 11 lineages →

ANKRD45-KIRC

Tumor-vs-normal expression box plot for ANKRD45 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with ANKRD45 in patient tissues and cancer cell lines. In patient samples, ANKRD45 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, ANKRD45 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,404KIRP (6944)view →
Function (RNA)7,159SKCM (4136)view →
Mutation
RNA1,875UCEC (1005)view →
Protein (RPPA)21UCEC (11)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,640BLOOD_Lymphoma (139)view →
RNA1,162LARGE_INTESTINE (185)view →
RNA
RNA4,263BONE (1192)view →
Function (RNA)1,984BONE (515)view →
shRNA
shRNA1,362SKIN (287)view →
RNA1,099BLOOD_Lymphoma (283)view →
Mutation
Mutation1,076LARGE_INTESTINE (960)view →
RNA2SKIN (2)view →