CCDC68

associated omics data
Gene

Q-omics provides the consensus-scored CCDC68 profile across patient tissues and cancer cell-line models. CCDC68 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, CCDC68 is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, CCDC68 RNA expression shows 18,153 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight BRCA, COAD, and THYM as cancer lineages where CCDC68 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 CCDC68 survival associations across molecular data types. CCDC68 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CCDC68 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21BRCA (75)view →
MutationKaplan–Meier6UCEC (36)view →
Protein (mass-spec)Kaplan–Meier3PDAC (21)view →
This table ranks reproducible CCDC68 RNA expression–survival associations across cancer types. High CCDC68 expression shows unfavorable associations in CESC and LUSC, but favorable associations in BRCA, COAD, READ and UVM. The BRCA 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 BRCA as the clearest survival context for CCDC68 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
BRCADFSMedianAll0.9710.926<.00175view →
CESCDFSQuartileAll0.4030.709<.00162view →
COADDFSTertileII,III,IV0.5720.312<.00162view →
READDFSQuartileAll0.8430.349.00261view →
LUSCOSQuartileAll0.7100.849<.00155view →
UVMOSQuartileAll0.8250.328<.00151view →
Pink = unfavorable, green = favorable. all 21 lineages →

CCDC68-BRCA (DFS)

Kaplan–Meier survival curve for CCDC68 RNA expression in BRCA: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CCDC68 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 4. The strongest signals are observed in COAD for RNA and LUAD for protein.
CCDC68 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12COAD (11)view →
Protein (mass-spec)Box plot4LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for CCDC68. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCDC68 shows lower tumor expression in COAD, LUSC, THCA, LUAD and BRCA and higher tumor expression in KIRC. The COAD box plot shows higher CCDC68 RNA expression in normal versus tumor tissue (log2 FC = −2.402, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleAll−2.402<.00111view →
LUSCFemaleII,III,IV−3.234<.0018view →
KIRCMaleIV+1.052<.0018view →
THCAAllII,III,IV−0.620<.0018view →
LUADFemaleIII,IV−1.759<.0017view →
BRCAAllAll−0.720<.0016view →
Green = repressed in tumor. all 12 lineages →

CCDC68-COAD

Tumor-vs-normal expression box plot for CCDC68 in COAD.

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Cross-omics associations

This table shows molecular features associated with CCDC68 in patient tissues and cancer cell lines. In patient samples, CCDC68 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, CCDC68 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 BLOOD_Leukemia and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,153THYM (7652)view →
Protein (mass-spec)12,940LSCC (3883)view →
Protein (mass-spec)
Protein (mass-spec)6,532LSCC (3297)view →
RNA2,071LSCC (925)view →
Mutation
RNA2,752UCEC (2582)view →
Protein (RPPA)35UCEC (30)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,871BLOOD_Lymphoma (151)view →
RNA1,515BLOOD_Leukemia (187)view →
RNA
RNA8,173BONE (3168)view →
Function (RNA)3,679BONE (1658)view →
shRNA
RNA1,009SKIN (353)view →
shRNA990SKIN (226)view →
Mutation
Mutation265LARGE_INTESTINE (265)view →