CFTR

associated omics data
CF transmembrane conductance regulatorGenealiases: ABC35 · ABCC7 · CF · CFTR/MRP · MRP7 · TNR-CFTR

Q-omics provides the consensus-scored CFTR profile across patient tissues and cancer cell-line models. CFTR expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, CFTR is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, CFTR protein abundance shows 20,691 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LUAD, HNSC, and LSCC as cancer lineages where CFTR 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 CFTR survival associations across molecular data types. CFTR RNA expression shows survival associations in the most cancer types (23), followed by mutation status (8) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
CFTR data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23LUAD (71)view →
MutationKaplan–Meier8LIHC (18)view →
Protein (mass-spec)Kaplan–Meier2LUAD (10)view →
This table ranks reproducible CFTR RNA expression–survival associations across cancer types. High CFTR expression shows favorable associations in LUAD, READ, LGG, LAML, UCS and BRCA. The LUAD 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 LUAD as the clearest survival context for CFTR RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LUADOSQuartileAll0.5220.263<.00171view →
READOSQuartileII,III,IV0.9660.298.00344view →
LGGDFSTertileAll0.5580.321<.00136view →
LAMLDFSMedianAll0.4660.298.01330view →
UCSOSMedianIV0.8170.302.00224view →
BRCAOSMedianII,III,IV0.9350.889.00522view →
Pink = unfavorable, green = favorable. all 23 lineages →

CFTR-LUAD (OS)

Kaplan–Meier survival curve for CFTR RNA expression in LUAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes CFTR 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 5. The strongest signals are observed in HNSC for RNA and LUAD for protein.
CFTR data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12HNSC (12)view →
Protein (mass-spec)Box plot5LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for CFTR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CFTR shows lower tumor expression in HNSC, LUAD, KIRC, LUSC and BRCA and higher tumor expression in KICH. The HNSC box plot shows higher CFTR RNA expression in normal versus tumor tissue (log2 FC = −1.563, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleII,III,IV−1.563<.00112view →
LUADMaleIII,IV−3.078<.00111view →
KIRCFemaleIII,IV−1.102<.00111view →
LUSCMaleII,III,IV−3.068<.0018view →
KICHMaleAll+5.090<.0017view →
BRCAAllIII,IV−0.453<.0016view →
Green = repressed in tumor. all 12 lineages →

CFTR-HNSC

Tumor-vs-normal expression box plot for CFTR in HNSC.

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Cross-omics associations

This table shows molecular features associated with CFTR in patient tissues and cancer cell lines. In patient samples, CFTR shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, CFTR 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 LUNG_NSCLC_LUAD and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)20,691LSCC (6403)view →
RNA8,013LSCC (3479)view →
RNA
Protein (mass-spec)20,225LSCC (8530)view →
RNA16,194TGCT (5773)view →
Mutation
RNA4,780UCEC (2938)view →
Protein (RPPA)46UCEC (32)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,573LIVER (196)view →
RNA1,544LUNG_NSCLC_LUAD (515)view →
RNA
RNA6,225LARGE_INTESTINE (2063)view →
Function (RNA)2,360LARGE_INTESTINE (1070)view →
Mutation
Mutation6,222LARGE_INTESTINE (4524)view →
RNA441LARGE_INTESTINE (358)view →
shRNA
CRISPR1,633STOMACH (132)view →
RNA1,471CNS (211)view →