FARP1

associated omics data
FERM, ARH/RhoGEF and pleckstrin domain protein 1Genealiases: CDEP · FARP1-IT1 · GLCC1 · PLEKHC2 · PPP1R75

Q-omics provides the consensus-scored FARP1 profile across patient tissues and cancer cell-line models. FARP1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, FARP1 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, FARP1 protein abundance shows 22,581 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KIRC, COAD, and BRCA as cancer lineages where FARP1 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 FARP1 survival associations across molecular data types. FARP1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
FARP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27KIRC (142)view →
MutationKaplan–Meier6UCEC (24)view →
Protein (mass-spec)Kaplan–Meier4PDAC (39)view →
This table ranks reproducible FARP1 RNA expression–survival associations across cancer types. High FARP1 expression shows unfavorable associations in ACC and ESCA, but favorable associations in KIRC, UCS, BRCA and LUAD. The KIRC 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 KIRC as the clearest survival context for FARP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.7330.529<.001142view →
ACCDFSMedianAll0.1740.734<.001100view →
UCSOSTertileII,III,IV0.5990.241.01354view →
BRCAOSTertileIV0.8280.286.00625view →
ESCADFSMedianIV0.2050.634.00624view →
LUADDFSMedianII,III,IV0.7090.450.00224view →
Pink = unfavorable, green = favorable. all 27 lineages →

FARP1-KIRC (OS)

Kaplan–Meier survival curve for FARP1 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes FARP1 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 6. The strongest signals are observed in COAD for RNA and CCRCC for protein.
FARP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13COAD (11)view →
Protein (mass-spec)Box plot6CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for FARP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FARP1 shows lower tumor expression in KICH and KIRC and higher tumor expression in COAD, HNSC, BRCA and LIHC. The COAD box plot shows higher FARP1 RNA expression in tumor versus normal tissue (log2 FC = +1.097, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleII,III,IV+1.097<.00111view →
KICHFemaleII,III,IV−1.538<.0019view →
HNSCMaleIII,IV+1.115.0038view →
KIRCMaleII,III,IV−0.652<.0017view →
BRCAAllII,III,IV+0.782<.0016view →
LIHCAllAll+0.528<.0016view →
Green = repressed in tumor. all 13 lineages →

FARP1-COAD

Tumor-vs-normal expression box plot for FARP1 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with FARP1 in patient tissues and cancer cell lines. In patient samples, FARP1 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, FARP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_SCLC.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)22,581BRCA (5476)view →
RNA14,935BRCA (5434)view →
RNA
RNA20,769ACC (8772)view →
Protein (mass-spec)18,266HNSC (5636)view →
Mutation
RNA5,907UCEC (5326)view →
Protein (RPPA)48UCEC (42)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,012LUNG_NSCLC_LUAD (193)view →
RNA1,220LARGE_INTESTINE (165)view →
RNA
RNA8,671LUNG_SCLC (1791)view →
Function (RNA)3,692LUNG_SCLC (609)view →
Mutation
Mutation6,808LARGE_INTESTINE (6155)view →
RNA443LARGE_INTESTINE (421)view →
Protein (mass-spec)
RNA1,509LUNG_SCLC (323)view →
CRISPR998BONE (165)view →