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Published on: December 19, 2025
A New CA19-9 Cutoff Value Identifies Lewis Antigen Status and Refines Prognostic Stratification in PDAC
Chia-Ming Yeh1, Chih-Chuan Yu1,2, An-Fu Lee3
1National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
Summary
Carbohydrate antigen 19-9 (CA19-9) is less useful for pancreatic cancer patients who are Lewis-negative nonproducers. A CA19-9 level of ≤7 U/mL can identify this high-risk subgroup for improved clinical practice.
Area of Science:
- Oncology
- Biochemistry
- Genetics
Background:
- Carbohydrate antigen 19-9 (CA19-9) is a tumor marker for pancreatic ductal adenocarcinoma (PDAC).
- Approximately 10% of PDAC patients are Lewis-negative nonproducers (FUT3-null), limiting CA19-9 utility.
- Identifying prognostic subgroups in PDAC is crucial for effective treatment strategies.
Purpose of the Study:
- To define the prognosis of FUT3-null PDAC.
- To establish a CA19-9 cutoff for identifying FUT3-null PDAC patients in clinical practice.
- To improve risk stratification for PDAC patients using CA19-9 levels.
Main Methods:
- Germline whole-exome sequencing in 615 PDAC patients to determine FUT2/FUT3 genotypes.
- Receiver operating characteristic (ROC) analysis to identify optimal CA19-9 cutoffs.
- Maximally selected rank statistics to stratify overall survival (OS) in training and validation sets.
Main Results:
- FUT3-null patients had significantly lower median baseline CA19-9 levels (2.4 U/mL) compared to FUT3-intact patients (496 U/mL).
- Median OS for FUT3-null patients (13.5 months) was comparable to FUT3-intact patients with CA19-9 >200 U/mL (12.9 months).
- An optimal CA19-9 cutoff of 7 U/mL was identified for FUT3-null status with high accuracy (87.9%).
- A dual-threshold model (≤7 and >200 U/mL) stratified patients into four prognostic groups with distinct median OS.
Conclusions:
- CA19-9 nonproducers (likely FUT3-null) represent a high-risk PDAC subgroup.
- A CA19-9 level ≤7 U/mL serves as a practical surrogate for identifying this subgroup.
- A dual-threshold CA19-9 model improves risk stratification when genotyping is unavailable.
