C1QTNF3

associated omics data
C1q and TNF related 3Genealiases: C1ATNF3 · CORCS · CORS · CORS-26 · CORS26 · CTRP3

Q-omics provides the consensus-scored C1QTNF3 profile across patient tissues and cancer cell-line models. C1QTNF3 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, C1QTNF3 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, C1QTNF3 protein abundance shows 25,003 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KICH, and PDAC as cancer lineages where C1QTNF3 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 C1QTNF3 survival associations across molecular data types. C1QTNF3 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
C1QTNF3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26KICH (95)view →
Protein (mass-spec)Kaplan–Meier7CCRCC (36)view →
MutationKaplan–Meier3ACC (36)view →
This table ranks reproducible C1QTNF3 RNA expression–survival associations across cancer types. High C1QTNF3 expression shows unfavorable associations in KICH, ACC, OV and KIRP, but favorable associations in KIRC and LAML. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KICH as the clearest survival context for C1QTNF3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KICHDFSQuartileII,III,IV0.5131.000.00295view →
ACCDFSTertileAll0.3470.830<.00183view →
OVDFSQuartileAll0.4680.608.00348view →
KIRCOSMedianII,III,IV0.6460.456.00443view →
LAMLDFSTertileAll0.5830.290<.00142view →
KIRPDFSMedianIV0.0380.594.00239view →
Pink = unfavorable, green = favorable. all 26 lineages →

C1QTNF3-KICH (DFS)

Kaplan–Meier survival curve for C1QTNF3 RNA expression in KICH: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes C1QTNF3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 11. The strongest signals are observed in KICH for RNA and LUAD for protein.
C1QTNF3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13KICH (11)view →
Protein (mass-spec)Box plot11LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for C1QTNF3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. C1QTNF3 shows lower tumor expression in KICH, COAD, UCEC and BLCA and higher tumor expression in LIHC and BRCA. The KICH box plot shows higher C1QTNF3 RNA expression in normal versus tumor tissue (log2 FC = −2.468, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllIII,IV−2.468<.00111view →
LIHCMaleAll+1.937<.0018view →
COADFemaleII,III,IV−1.017<.0018view →
UCECAllAll−0.893<.0016view →
BRCAFemaleAll+0.883<.0016view →
BLCAMaleAll−1.881.0045view →
Green = repressed in tumor. all 13 lineages →

C1QTNF3-KICH

Tumor-vs-normal expression box plot for C1QTNF3 in KICH.

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Cross-omics associations

This table shows molecular features associated with C1QTNF3 in patient tissues and cancer cell lines. In patient samples, C1QTNF3 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, C1QTNF3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)25,003PDAC (9098)view →
RNA12,896PDAC (5162)view →
RNA
Protein (mass-spec)19,064BRCA (7033)view →
RNA18,525UVM (7734)view →
Mutation
RNA1,119UCEC (1012)view →
Protein (RPPA)21UCEC (20)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,675LIVER (178)view →
RNA1,577BLOOD_Lymphoma (226)view →
RNA
RNA10,842BLOOD_Leukemia (5156)view →
Function (RNA)4,414BLOOD_Leukemia (1331)view →
shRNA
RNA2,115LIVER (480)view →
shRNA1,481LUNG_SCLC (147)view →