Back

Detection of Pancreatic Cancer Using a Methylation-Specific PCR-Based Multi-Cancer Early Detection Test

Pham, H. T.; Bussey, K. J.; Oshiro, M. M.; Rounseville, M.; Moses, M.; Zulbaran-Rojas, A.; Nguyen, V.; Bernert, R. A.; Routh, J.; Watts, G.; Block, G. D.; Fisher, W. E.; Nelson, M. A.

2026-05-31 molecular biology
10.64898/2026.05.27.728292 bioRxiv
Show abstract

ContextPancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy often diagnosed at advanced stages due to the lack of early clinical symptoms. DNA methylation alterations arise early in PDAC tumorigenesis and may serve as promising biomarkers for blood-based cancer detection. ObjectiveTo evaluate the performance of EPISEEK, a laboratory-developed blood-based multi-cancer early detection (MCED) assay, for detecting PDAC across disease stages. DesignA retrospective cohort study included 97 patients with stage I-IV PDAC and 201 asymptomatic healthy controls. Sensitivity, specificity, area under the curve (AUC), and stage-specific performance were assessed. EPISEEK-MCED performance was also compared with CA 19-9 alone and in combination with CA 19-9. ResultsEPISEEK-MCED classified 65 of 97 PDAC cases as positive, corresponding to an observed sensitivity of 70.1% (95% CI, 60.3% - 78.3%) at 99.5% specificity. The assay demonstrated strong discrimination between PDAC cases and healthy controls, with an AUC of 0.916 (95% CI, 0.88 - 0.952). Sensitivity increased with advancing stage while remaining substantial in early-stage disease, measuring 53.6% for stage I and 65.1% for stage II PDAC, 100% for stage III and 94.7% for stage IV. Across stages, EPISEEK-MCED outperformed CA 19-9 alone, particularly in early-stage disease. Combined analysis of EPISEEK-MCED and CA 19-9 further improved detection performance, achieving sensitivity of 57.1% and 81.4% for stage I and II, respectively. ConclusionsEPISEEK-MCED demonstrated high specificity and sensitivity for PDAC detection across disease stages, including early-stage disease. Combining EPISEEK-MCED with CA19-9 further improved performance, supporting its clinical utility for PDAC detection.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Diagnostics
48 papers in training set
Top 0.1%
22.5%
2
PLOS ONE
4510 papers in training set
Top 19%
10.1%
3
Clinical Chemistry
22 papers in training set
Top 0.1%
8.4%
4
The Journal of Molecular Diagnostics
36 papers in training set
Top 0.1%
7.2%
5
Scientific Reports
3102 papers in training set
Top 29%
4.2%
50% of probability mass above
6
Journal of Clinical Microbiology
120 papers in training set
Top 0.6%
3.6%
7
JNCI: Journal of the National Cancer Institute
16 papers in training set
Top 0.1%
3.6%
8
Laboratory Investigation
13 papers in training set
Top 0.1%
3.6%
9
BMC Cancer
52 papers in training set
Top 0.8%
2.7%
10
Cancers
200 papers in training set
Top 3%
1.9%
11
Cancer Medicine
24 papers in training set
Top 0.7%
1.8%
12
Genome Medicine
154 papers in training set
Top 5%
1.7%
13
Cancer Research Communications
46 papers in training set
Top 0.6%
1.3%
14
Nature Communications
4913 papers in training set
Top 57%
1.2%
15
EBioMedicine
39 papers in training set
Top 0.6%
1.2%
16
Frontiers in Oncology
95 papers in training set
Top 3%
1.1%
17
International Journal of Cancer
42 papers in training set
Top 1%
0.9%
18
Clinical Epigenetics
53 papers in training set
Top 0.9%
0.9%
19
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
38 papers in training set
Top 0.9%
0.9%
20
PeerJ
261 papers in training set
Top 12%
0.9%
21
JNCI Cancer Spectrum
10 papers in training set
Top 0.4%
0.9%
22
European Respiratory Journal
54 papers in training set
Top 2%
0.8%
23
PLOS Computational Biology
1633 papers in training set
Top 25%
0.7%
24
BMC Bioinformatics
383 papers in training set
Top 7%
0.7%
25
Gastroenterology
40 papers in training set
Top 2%
0.7%
26
eBioMedicine
130 papers in training set
Top 4%
0.7%
27
Frontiers in Immunology
586 papers in training set
Top 8%
0.7%
28
The Journal of Infectious Diseases
182 papers in training set
Top 5%
0.7%
29
Translational Oncology
18 papers in training set
Top 0.4%
0.7%
30
JMIR Research Protocols
18 papers in training set
Top 2%
0.7%