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PRediction Of Five Usual Tumors Using Blood Test for Risk Assessment and Early Detection (PROFUTURE)

Sun Yat-sen University logo

Sun Yat-sen University

Status

Not yet enrolling

Conditions

Neoplasms
Cancer

Treatments

Device: Multi-cancer early detection test

Study type

Observational

Funder types

Other
Industry

Identifiers

NCT05874648
GENIE-PROFUTURE-P

Details and patient eligibility

About

Liquid biopsy technology based on cell-free nucleic acids and protein characteristics has unique advantages and significant application prospects in cancer early detection. The purpose of this study is to collect peripheral blood samples from participants with new diagnosis of cancer and from participants who do not have a diagnosis of cancer in order to develop machine learning models for discovering cancer from non-cancer.

Full description

The PROFUTURE study: A prospective, multicenter, observational, case-control study with collection of peripheral blood and clinical data from clinical networks in order to develop machine learning models for discovering cancer from non-cancer. According to the statistical hypothesis based on expected detection performance, the study will enroll approximately 3,830 participants, including 2,138 participants with cancer (case arm) and approximately 1,692 representative participants without a clinical diagnosis of cancer after medical screening (control arm). Participants pre-matched by age and gender will be divided into training set and validation set in a ratio of approximately 7:3. The validation set will be blinded until the models are developed. Clinical information, demographics, and medical data relevant to cancer status are collected from all participants and their medical records at baseline. The participants of control arm will be asked to report suspected cancer diagnosis status within 6 months after blood collection.

Enrollment

3,830 estimated patients

Sex

All

Ages

40 to 75 years old

Volunteers

Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria for Cancer Arm Participants:

  • 40-75 years old
  • Ability to provide a written informed consent
  • Confirmed cancer diagnosis within 30 days after study blood draw, based upon assessment of a pathological specimen
  • Have not received any systemic or local antitumor therapy, including but not limited to surgical resection, radiotherapy, hormone therapy, targeted therapy, immunotherapy, interventional therapy, etc.

Exclusion Criteria for Cancer Arm Participants:

  • Pregnancy or lactating women
  • Known prior or current diagnosis of other types of malignancies comorbidities
  • Acute exacerbation of inflammatory condition or severe infection requiring therapy in hospital within 14 days prior to blood draw
  • Recipients of organ transplant or prior non-autologous (allogeneic) bone marrow transplant or stem cell transplant
  • Recipients of blood transfusion within 30 days prior to study blood draw
  • Poor health status or unfit to tolerate blood draw

Inclusion Criteria for Non-Cancer Arm Participants:

  • 40-75 years old
  • Ability to provide a written informed consent
  • With clinically and/or pathologically diagnosed benign disease as defined by the protocol or self-reported no history of tumor and no signs of tumor as determined clinically

Exclusion Criteria for Non-Cancer Arm Participants:

  • Pregnancy or lactating women
  • Any tumor history of benign or malignancies
  • Acute exacerbation of inflammatory condition or severe infection requiring therapy in hospital within 14 days prior to blood draw
  • Recipients of organ transplant or prior non-autologous (allogeneic) bone marrow transplant or stem cell transplant
  • Recipients of blood transfusion within 30 days prior to study blood draw
  • Poor health status or unfit to tolerate blood draw

Trial design

3,830 participants in 2 patient groups

Cancer arm
Treatment:
Device: Multi-cancer early detection test
Non-cancer arm
Treatment:
Device: Multi-cancer early detection test

Trial contacts and locations

1

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Central trial contact

Xiaosheng He, M.D.

Data sourced from clinicaltrials.gov

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