Clinical trial · Observational
iDentification and vAlidation Model of Liquid biopsY Based cfDNA Methylation and pRotEin biomArKers for Pancreatic Cancer (DAYBREAK Study)
Pancreatic Cancer Detection by Liquid Biopsy in Peripheral Blood: A Prospective Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
DAYBREAK is a prospective, multi-omics, observational study aimed at early detecting pancreatic cancer by combined assays for biomarkers of cfDNA methylation, serum protein markers, blood miRNA markers and others, in which of 450 participants will be enrolled. The development and validation of the model will be conducted in participants with early stage cancers and benign disease through a two-stage approach. The sensitivity and specificity of the model in pancreatic cancer early detection will be evaluated.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (2)
- label
- Cancer arm
- description
- Participants with new diagnosis of pancreatic cancer, from whom a blood sample will be collected.
- label
- Benign disease arm
- description
- Participants with benign pancreatic diseases, from whom a blood sample will be collected.
Primary outcomes (1)
- measure
- The sensitivity and specificity of multi-cancer early detection by the combined model in cancer arm and benign disease arm
- timeFrame
- 12 months
Secondary outcomes (4)
- measure
- The difference of sensitivity and specificity in pancreatic cancer participants at different clinical stages.
- timeFrame
- 12 months
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 40 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria for Cancer Arm Participants: * Able to provide a written informed consent. * Able to provide sufficient and qualified blood samples for study tests. * No prior or undergoing cancer treatment (local or systematic) with either of the following: * A. Pathologically confirmed cancer diagnosis within 42 days prior to the study blood draw. * B. High suspicious for cancer diagnosis by radiological or other routine clinical assessments, with confirmed cancer diagnosis through biopsy or surgical resection within 42 days after study blood draw. Exclusion Criteria for Cancer Arm Participants: * Insufficient qualified blood sample for study test. * During pregnancy or lactation. * Recipient of organ transplant or prior non-autologous (allogeneic) bone marrow or stem cell transplant. * Recipient of blood transfusion within 30 days prior to study blood draw. * With other known malignant tumors or multiple primary tumors. Inclusion Criteria for Benign Disease Arm Participants: * Able to provide a written informed consent. * Able to provide sufficient and qualified blood samples for study tests. * Have either of the following: * A. Pathological confirmed diagnosis of benign diseases within 90 days prior to the study blood draw, with no prior treatment such as surgical resection. * B. High suspicious for benign diseases diagnosis by radiological or other routine clinical assessments, with confirmed benign diseases diagnosis within 42 days after study blood draw. Exclusion Criteria for Benign Disease Arm Participants: * Insufficient qualified blood sample for study test. * During pregnancy or lactation. * Recipient of organ transplant or prior non-autologous (allogeneic) bone marrow or stem cell transplant. * Recipient of blood transfusion within 30 days prior to study blood draw. * Recipients of any anti-cancer therapy within 30 days prior to study blood draw, due to diseases other than cancer
References
Publications (52)
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- BACKGROUNDChen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ, He J. Cancer statistics in China, 2015. CA Cancer J Clin. 2016 Mar-Apr;66(2):115-32. doi: 10.3322/caac.21338. Epub 2016 Jan 25. PMID 26808342
- BACKGROUNDSmith RA, Andrews KS, Brooks D, Fedewa SA, Manassaram-Baptiste D, Saslow D, Brawley OW, Wender RC. Cancer screening in the United States, 2018: A review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin. 2018 Jul;68(4):297-316. doi: 10.3322/caac.21446. Epub 2018 May 30. PMID 29846940
- BACKGROUNDO'Neill RS, Stoita A. Biomarkers in the diagnosis of pancreatic cancer: Are we closer to finding the golden ticket? World J Gastroenterol. 2021 Jul 14;27(26):4045-4087. doi: 10.3748/wjg.v27.i26.4045. PMID 34326612
- BACKGROUNDOrntoft TF, Vestergaard EM, Holmes E, Jakobsen JS, Grunnet N, Mortensen M, Johnson P, Bross P, Gregersen N, Skorstengaard K, Jensen UB, Bolund L, Wolf H. Influence of Lewis alpha1-3/4-L-fucosyltransferase (FUT3) gene mutations on enzyme activity, erythrocyte phenotyping, and circulating tumor marker sialyl-Lewis a levels. J Biol Chem. 1996 Dec 13;271(50):32260-8. doi: 10.1074/jbc.271.50.32260. PMID 8943285
- BACKGROUNDLuo G, Jin K, Deng S, Cheng H, Fan Z, Gong Y, Qian Y, Huang Q, Ni Q, Liu C, Yu X. Roles of CA19-9 in pancreatic cancer: Biomarker, predictor and promoter. Biochim Biophys Acta Rev Cancer. 2021 Apr;1875(2):188409. doi: 10.1016/j.bbcan.2020.188409. Epub 2020 Aug 19.