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PREDICT is a prospective, multi-center study for the early detection of pan-cancer through cell-free DNA (cfDNA) methylation based model, in which approximately 14,000 participants will be enrolled. The development and validation of the model will be conducted in participants with early stage cancers or benign diseases, along with non-tumor (healthy) individuals through a two-stage approach. The sensitivity and specificity of the model in cancer early detection will be evaluated, and the accuracy of the identification for tissue of origin will be obtained.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cancer arm | Participants with new diagnosis of cancer, from whom a blood sample and contemporaneous tissue samples will be collected. | ||
| Benign disease arm | Participants with benign diseases corresponding to the tumor types in the cancer arm, from whom a blood sample and contemporaneous tissue samples will be collected. | ||
| Non-tumor arm (Healthy) | Participants with no known presence of malignancies or benign diseases, from whom a blood sample will be collected. |
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| Measure | Description | Time Frame |
|---|---|---|
| The cfDNA methylations profiles of patients with malignancies or benign diseases using pre-treatment biospecimens. | 32 months | |
| The sensitivity and specificity of multi-cancer early detection and the accuracy of TOO identification via cfDNA methylation based model. | 32 months |
| Measure | Description | Time Frame |
|---|---|---|
| The sensitivity and specificity of cancer early detection and the accuracy of TOO identification via cfDNA methylation based model in pre-specified subgroups. | 32 months | |
| The sensitivity and specificity of cancer early detection and the accuracy of TOO identification via cfDNA methylation based model in combination with clinicopathological characteristics or other biomarkers. |
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Inclusion Criteria for Cancer Arm Participants:
Exclusion Criteria for Cancer Arm Participants:
Inclusion Criteria for Benign Disease Arm Participants:
Exclusion Criteria for Benign Disease Arm Participants:
Inclusion Criteria for Non-Tumor Arm Participants:
Exclusion Criteria for Non-Tumor Arm Participants:
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Eligible participants will be recruited from medical centers and assigned into three arms, including participants with new diagnosis of malignancy or corresponding benign disease, and participants without the presence of malignant or benign diseases.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Customer Service Burning Rock | Contact | 400-689-7600 | info@brbiotech.com | |
| Shangli Cai, Ph.D | Contact | +86-021 61631938 | shangli.cai@brbiotech.com |
| Name | Affiliation | Role |
|---|---|---|
| Hao Liu, M.D | Guangzhou Burning Rock Dx Co., Ltd. | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cancer Hospital, Chinese Academy of Medical Sciences & China National Cancer Center | Beijing | Beijing Municipality | 100021 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35027051 | Derived | Luo B, Ma F, Liu H, Hu J, Rao L, Liu C, Jiang Y, Kuangzeng S, Lin X, Wang C, Lei Y, Si Z, Chen G, Zhou N, Liang C, Jiang F, Liu F, Dai W, Liu W, Gao Y, Li Z, Li X, Zhou G, Li B, Zhang Z, Nian W, Luo L, Liu X. Cell-free DNA methylation markers for differential diagnosis of hepatocellular carcinoma. BMC Med. 2022 Jan 14;20(1):8. doi: 10.1186/s12916-021-02201-3. |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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| 32 months |
| The examinations related to cancer diagnosis from the participants who were identified as positive cases by cfDNA methylation based model while as healthy individuals by routine medical examinations. | 32 months |
| The sensitivity and specificity of cancer early detection and the accuracy of TOO identification via cfDNA methylation based model in the independent training and validation sets. | 32 months |
| Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine | Shanghai | Shanghai Municipality | 200011 | China |
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| Zhongshan Hospital, Fudan University | Shanghai | Shanghai Municipality | 200032 | China |
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