CCDC7

associated omics data
coiled-coil domain containing 7Genealiases: BIOT2 · BioT2-A · BioT2-B · BioT2-C · C10orf68

Q-omics provides the consensus-scored CCDC7 profile across patient tissues and cancer cell-line models. CCDC7 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, CCDC7 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, CCDC7 RNA expression shows 20,013 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KIRC, and UVM as cancer lineages where CCDC7 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 CCDC7 survival associations across molecular data types. CCDC7 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CCDC7 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23SKCM (84)view →
MutationKaplan–Meier4UCEC (26)view →
This table ranks reproducible CCDC7 RNA expression–survival associations across cancer types. High CCDC7 expression shows unfavorable associations in KICH, UVM, CESC and LIHC, but favorable associations in SKCM and PAAD. The SKCM 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 SKCM as the clearest survival context for CCDC7 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
SKCMOSMedianII,III,IV0.3960.214<.00184view →
KICHDFSMedianIII,IV0.2820.870.00375view →
UVMDFSMedianIII,IV0.2470.810<.00164view →
CESCDFSTertileIII,IV0.1590.641<.00154view →
PAADDFSQuartileII,III,IV0.5700.268<.00148view →
LIHCDFSQuartileAll0.3780.622<.00147view →
Pink = unfavorable, green = favorable. all 23 lineages →

CCDC7-SKCM (OS)

Kaplan–Meier survival curve for CCDC7 RNA expression in SKCM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CCDC7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
CCDC7 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12KIRC (12)view →
This table ranks reproducible tumor–normal expression differences for CCDC7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCDC7 shows lower tumor expression in THCA and higher tumor expression in KIRC, LIHC, UCEC, BLCA and STAD. The KIRC box plot shows higher CCDC7 RNA expression in tumor versus normal tissue (log2 FC = +0.424, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleIV+0.424<.00112view →
LIHCFemaleII,III,IV+0.524<.0019view →
THCAAllAll−0.210<.0017view →
UCECAllAll+0.285.0026view →
BLCAAllAll+0.390.0055view →
STADAllAll+0.219.0054view →
Green = repressed in tumor. all 12 lineages →

CCDC7-KIRC

Tumor-vs-normal expression box plot for CCDC7 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with CCDC7 in patient tissues and cancer cell lines. In patient samples, CCDC7 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, CCDC7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LIVER.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,013UVM (8413)view →
Protein (mass-spec)16,509PDAC (4447)view →
Mutation
RNA1,874UCEC (1751)view →
Protein (RPPA)32UCEC (32)view →
Protein (mass-spec)
Protein (mass-spec)72UCEC (72)view →
RNA34UCEC (34)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,702SOFT_TISSUE (132)view →
RNA1,444SOFT_TISSUE (345)view →
RNA
RNA7,990UPPER_AERODIGESTIVE_TRACT (2385)view →
Function (RNA)2,619LIVER (498)view →
shRNA
shRNA1,368LUNG_NSCLC_LUAD (273)view →
RNA874BREAST (159)view →
Protein (mass-spec)
RNA1,271BLOOD_Lymphoma (360)view →
Function (mass-spec)879SKIN (124)view →