KRTAP10-2

associated omics data
keratin associated protein 10-2Genealiases: KAP10.2 · KAP18-2 · KAP18.2 · KRTAP10.2 · KRTAP18-2 · KRTAP18.2

Q-omics provides the consensus-scored KRTAP10-2 profile across patient tissues and cancer cell-line models. KRTAP10-2 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, KRTAP10-2 is differentially expressed in 7, with the highest sampling consensus in BRCA. Additionally, KRTAP10-2 RNA expression shows 7,915 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight CHOL, BRCA, and TGCT as cancer lineages where KRTAP10-2 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 KRTAP10-2 survival associations across molecular data types. KRTAP10-2 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
KRTAP10-2 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22CHOL (54)view →
MutationKaplan–Meier1LIHC (36)view →
This table ranks reproducible KRTAP10-2 RNA expression–survival associations across cancer types. High KRTAP10-2 expression shows unfavorable associations in CHOL, COAD, ACC, HNSC, DLBC and PCPG. The CHOL 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 CHOL as the clearest survival context for KRTAP10-2 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CHOLOSTertileAll0.0190.800<.00154view →
COADOSTertileIV0.1850.634<.00152view →
ACCDFSTertileAll0.1950.748.00345view →
HNSCOSMedianAll0.2810.494.00138view →
DLBCDFSTertileII,III,IV0.0650.829<.00136view →
PCPGOSTertileAll0.5050.946<.00136view →
Pink = unfavorable, green = favorable. all 22 lineages →

KRTAP10-2-CHOL (OS)

Kaplan–Meier survival curve for KRTAP10-2 RNA expression in CHOL: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes KRTAP10-2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in BRCA for RNA.
KRTAP10-2 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7BRCA (6)view →
This table ranks reproducible tumor–normal expression differences for KRTAP10-2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KRTAP10-2 shows lower tumor expression in BRCA and higher tumor expression in COAD, LUAD, LUSC, HNSC and PAAD. The BRCA box plot shows higher KRTAP10-2 RNA expression in normal versus tumor tissue (log2 FC = −0.020, t-test p = .037).
LineageGenderStageFold-changepSampling consensus
BRCAFemaleAll−0.020.0376view →
COADAllAll+0.073.0074view →
LUADAllAll+0.052.0034view →
LUSCAllAll+0.072.0023view →
HNSCAllIII,IV+0.128.0242view →
PAADMaleAll+0.110.0312view →
Green = repressed in tumor. all 7 lineages →

KRTAP10-2-BRCA

Tumor-vs-normal expression box plot for KRTAP10-2 in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with KRTAP10-2 in patient tissues and cancer cell lines. In patient samples, KRTAP10-2 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, KRTAP10-2 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 KIDNEY and LUNG_SCLC.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA7,915TGCT (4137)view →
Function (RNA)6,076STAD (2902)view →
Mutation
RNA95UCEC (57)view →
Infiltrating cells3COAD (3)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,803PANCREAS (232)view →
RNA1,354KIDNEY (294)view →
RNA
RNA1,336LUNG_SCLC (502)view →
Function (RNA)440LUNG_SCLC (263)view →
shRNA
shRNA1,068OESOPHAGUS (197)view →
CRISPR978BONE (132)view →
Mutation
Mutation150BLOOD_Leukemia (150)view →