Cancer, Neoplasms
Conditions
Keywords
Cancer Screening, Blood Test, High-Throughput Nucleotide Sequencing, Circulating cell-free DNA
Brief summary
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.
Detailed 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.
Interventions
Blood collection and multi-cancer early detection test
Sponsors
Shanghai Weihe Medical Laboratory Co., Ltd.
Sixth Affiliated Hospital, Sun Yat-sen University
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
40 Years to 75 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity of predefined five types of cancers and specificity of non-cancers and in different subgroup of cfDNA methylation-based model at 95% confidence interval. | 12 months |
| Tissue of origin (TOO) accuracy of five types of cancers of cfDNA methylation-based model at 95% confidence interval. | 12 months |
Secondary
| Measure | Time frame |
|---|---|
| Sensitivity, specificity and TOO accuracy of five types of cancers of a multi-omics model at 95% confidence interval. | 12 months |
| Sensitivity, specificity and TOO accuracy of cfDNA methylation-based model and multi-omics model in different stages or pathological types of five types of cancers at 95% confidence intervals. | 12 months |
Countries
China
Contacts
Primary ContactXiaosheng He, M.D.
Outcome results
None listed