CCDC88C

associated omics data
coiled-coil and HOOK domain protein 88CGenealiases: DAPLE · HKRP2 · HYC1 · KIAA1509 · SCA40

Q-omics provides the consensus-scored CCDC88C profile across patient tissues and cancer cell-line models. CCDC88C expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, CCDC88C is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, CCDC88C RNA expression shows 20,023 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KICH, and UVM as cancer lineages where CCDC88C 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 CCDC88C survival associations across molecular data types. CCDC88C RNA expression shows survival associations in the most cancer types (24), followed by mutation status (7) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CCDC88C data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24HNSC (131)view →
MutationKaplan–Meier7MESO (18)view →
Protein (mass-spec)Kaplan–Meier5CCRCC (45)view →
This table ranks reproducible CCDC88C RNA expression–survival associations across cancer types. High CCDC88C expression shows unfavorable associations in KIRP and MESO, but favorable associations in HNSC, LUAD, BRCA and ESCA. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for CCDC88C RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSTertileAll0.7580.601<.001131view →
KIRPDFSQuartileAll0.8510.981<.00191view →
MESOOSMedianII,III,IV0.2730.526<.00173view →
LUADOSTertileIII,IV0.7580.545.00458view →
BRCAOSMedianIII,IV0.9070.756<.00152view →
ESCAOSMedianAll0.7910.601.00238view →
Pink = unfavorable, green = favorable. all 24 lineages →

CCDC88C-HNSC (DFS)

Kaplan–Meier survival curve for CCDC88C RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CCDC88C tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 8. The strongest signals are observed in KICH for RNA and CCRCC for protein.
CCDC88C data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12KICH (10)view →
Protein (mass-spec)Box plot8CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for CCDC88C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCDC88C shows lower tumor expression in KICH, KIRC and KIRP and higher tumor expression in STAD, THCA and HNSC. The KICH box plot shows higher CCDC88C RNA expression in normal versus tumor tissue (log2 FC = −2.219, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHFemaleIII,IV−2.219<.00110view →
KIRCAllII,III,IV−0.369.0019view →
STADMaleII,III,IV+1.345<.0018view →
KIRPMaleAll−1.023<.0017view →
THCAMaleAll+0.975.0017view →
HNSCAllAll+0.697<.0017view →
Green = repressed in tumor. all 12 lineages →

CCDC88C-KICH

Tumor-vs-normal expression box plot for CCDC88C in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with CCDC88C in patient tissues and cancer cell lines. In patient samples, CCDC88C 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, CCDC88C RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,023UVM (8026)view →
Protein (mass-spec)10,083PDAC (2425)view →
Protein (mass-spec)
Protein (mass-spec)17,441UCEC (3511)view →
RNA13,171LSCC (5062)view →
Mutation
RNA7,496UCEC (5760)view →
Protein (RPPA)59UCEC (38)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,640LUNG_SCLC (142)view →
shRNA1,372UPPER_AERODIGESTIVE_TRACT (138)view →
RNA
RNA12,963BLOOD_Leukemia (4770)view →
Function (RNA)5,635BONE (2358)view →
Mutation
Mutation5,958LARGE_INTESTINE (4801)view →
RNA514LARGE_INTESTINE (348)view →
Protein (mass-spec)
RNA682LUNG_NSCLC_LUAD (159)view →
Function (RNA)376LARGE_INTESTINE (80)view →