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A Prospective Study of Liquid Biopsy for Pancreatic Cancer Early Detection

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Fudan University

Status

Enrolling

Conditions

Pancreatic Cancer

Study type

Observational

Funder types

Other
Industry

Identifiers

NCT06166147
Profound-PC

Details and patient eligibility

About

This study is a multi-center, observational study aiming at developing a machine learning-based early detection model using prospectively collected liquid biopsy samples from clinically-annotated individuals.

Full description

Peripheral blood samples from participants with new diagnosis of pancreatic cancers will be collected to characterize the cancer-specific circulating signals by sequencing cell free DNA. A noninvasive test integrating machine learning algorithm will be trained and validated through a two-stage approach in recruited well-classified individuals, along with non-cancers without clinical diagnosis of cancer after routine medical screening. The performance of liquid biospy assays discovering cancer from non-cancer will be evaluated in participants with benign disease as well as average risk individuals.

Enrollment

276 estimated patients

Sex

All

Ages

40 to 75 years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Cancer Arm

Inclusion Criteria:

  • 40-75 years old
  • Clinically and/or pathologically diagnosed pancreatic cancer
  • No prior or undergoing any systemic or local antitumor therapy, including but not limited to surgical resection, radiochemotherapy, endocrinotherapy, targeted therapy, immunotherapy, interventional therapy, etc.
  • Able to provide a written informed consent and willing to comply with all part of the protocol procedures.

Exclusion Criteria:

  • Pregnancy or lactating women
  • Known prior or current diagnosis of other types of malignancies comorbidities
  • Severe acute infection (e.g. severe or critical COVID-19, sepsis, etc.) or febrile illness (body temperature of ≥ 38.0 °C) within 14 days prior to blood draw
  • Recipients of organ transplant or prior bone marrow transplant or stem cell transplant
  • Recipients of blood transfusion within 30 days prior to study blood draw
  • Recipients of therapy in past 14 days prior to blood draw, including oral or IV antibiotics, glucocorticoid, azacitidine, decitabine, procainamine, hydrazine, arsenic trioxide
  • Other conditions that the investigators considered are not suitable for the enrollment

Benign Disease Arm

Inclusion Criteria:

  • 40-75 years old
  • Clinically and/or pathologically diagnosed pancreatic non-malignant disease (pancreatic intraepithelial neoplasia, pancreatic cyst and chronic pancreatitis)
  • No prior or undergoing any systemic or local antitumor therapy, including but not limited to surgical resection, radiochemotherapy, endocrinotherapy, targeted therapy, immunotherapy, interventional therapy, etc.
  • Able to provide a written informed consent and willing to comply with all part of the protocol procedures

Exclusion Criteria:

  • Pregnancy or lactating women
  • Known prior or current diagnosis of other types of malignancies comorbidities
  • Severe acute infection (e.g. severe or critical COVID-19, sepsis, etc.) or febrile illness (body temperature of ≥ 38.0 °C) within 14 days prior to blood draw
  • Recipients of organ transplant or prior bone marrow transplant or stem cell transplant
  • Recipients of blood transfusion within 30 days prior to study blood draw
  • Recipients of therapy in past 14 days prior to blood draw, including oral or IV antibiotics, glucocorticoid, azacitidine, decitabine, procainamine, hydrazine, arsenic trioxide
  • Other conditions that the investigators considered are not suitable for the enrollment

Trial design

276 participants in 2 patient groups

Cancer arm
Description:
Participants with new diagnosis of pancreatic cancer, from whom a peripheral blood sample will be collected.
Benign disease arm
Description:
Participants with benign pancreatic diseases, from whom a peripheral blood sample will be collected.

Trial contacts and locations

3

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Central trial contact

Si Shi, M.D., Ph.D.; Xian-Jun Yu, M.D., Ph.D.

Data sourced from clinicaltrials.gov

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