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| Name | Class |
|---|---|
| Shanghai Weihe Medical Laboratory Co., Ltd. | INDUSTRY |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cancer arm |
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| Non-cancer arm |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Multi-cancer early detection test | Device | Blood collection and multi-cancer early detection test |
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| Measure | Description | 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 |
| Measure | Description | 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. |
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Inclusion Criteria for Cancer Arm Participants:
Exclusion Criteria for Cancer Arm Participants:
Inclusion Criteria for Non-Cancer Arm Participants:
Exclusion Criteria for Non-Cancer Arm Participants:
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Eligible participants will be recruited from medical centers and communities. Participants will be assigned into two arms, including participants with new diagnosis of cancer and participants without a clinical diagnosis of cancer after medical screening. Demographic and cancer risk-related characteristics (eg, age, gender, smoking status, alcohol consumption) will be collected from all enrolled subjects.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiaosheng He, M.D. | Contact | +86-13543490940 | hexsheng@mail.sysu.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Sixth Affiliated Hospital of Sun Yat-sen University | Guangzhou | Guangdong | 510655 | China |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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| 12 months |