eRBCDet: Blood Cell RNA-Based Cancer Detection
Study Details
Study Description
Brief Summary
Early diagnosis of cancer may provide patients with more treatment options and hopefully prolong survival. The purpose of this multi-center study is to collect peripheral blood from newly diagnosed cancer patients and healthy donors to establish a blood cell RNA-based model for the differentiation of cancer patients and healthy donors. The area under the receiver operating characteristic (AUROC), sensitivity and specificity of the test in the early detection of multiple cancers will be measured.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Cancer Patients with new diagnosis of cancers |
Diagnostic Test: Blood test
RNA sequencing of peripheral blood cells
|
| Non-cancer Healthy participants |
Diagnostic Test: Blood test
RNA sequencing of peripheral blood cells
|
Outcome Measures
Primary Outcome Measures
- Sensitivity and specificity of cancer detection [1 year]
Sensitivity and specificity of the early detection of 30 types of cancers of a blood cell RNA-based cancer detection test
- Accuracy of TOO prediction [1 year]
Accuracy of the tissue of origin (TOO) prediction of a blood cell RNA-based cancer detection test
Eligibility Criteria
Criteria
Inclusion Criteria for All the Participants
-
Age 18 years or older
-
Provide informed consent
Exclusion Criteria for All the Participants:
-
Pregnancy or lactating women
-
Received a blood transfusion within 1 month
-
Received anti-cancer treatment within 3 years
-
Known prior diagnosis of cancer
-
Poor health status or unfit to tolerate blood draw
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Zheng Wang | Wuhan | Hubei | China | 430022 |
Sponsors and Collaborators
- Wuhan Union Hospital, China
Investigators
- Study Chair: Zheng Wang, MD/PhD, Wuhan Union Hospital, China
Study Documents (Full-Text)
None provided.More Information
Publications
- Best MG, Sol N, In 't Veld SGJG, Vancura A, Muller M, Niemeijer AN, Fejes AV, Tjon Kon Fat LA, Huis In 't Veld AE, Leurs C, Le Large TY, Meijer LL, Kooi IE, Rustenburg F, Schellen P, Verschueren H, Post E, Wedekind LE, Bracht J, Esenkbrink M, Wils L, Favaro F, Schoonhoven JD, Tannous J, Meijers-Heijboer H, Kazemier G, Giovannetti E, Reijneveld JC, Idema S, Killestein J, Heger M, de Jager SC, Urbanus RT, Hoefer IE, Pasterkamp G, Mannhalter C, Gomez-Arroyo J, Bogaard HJ, Noske DP, Vandertop WP, van den Broek D, Ylstra B, Nilsson RJA, Wesseling P, Karachaliou N, Rosell R, Lee-Lewandrowski E, Lewandrowski KB, Tannous BA, de Langen AJ, Smit EF, van den Heuvel MM, Wurdinger T. Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets. Cancer Cell. 2017 Aug 14;32(2):238-252.e9. doi: 10.1016/j.ccell.2017.07.004.
- Best MG, Sol N, Kooi I, Tannous J, Westerman BA, Rustenburg F, Schellen P, Verschueren H, Post E, Koster J, Ylstra B, Ameziane N, Dorsman J, Smit EF, Verheul HM, Noske DP, Reijneveld JC, Nilsson RJA, Tannous BA, Wesseling P, Wurdinger T. RNA-Seq of Tumor-Educated Platelets Enables Blood-Based Pan-Cancer, Multiclass, and Molecular Pathway Cancer Diagnostics. Cancer Cell. 2015 Nov 9;28(5):666-676. doi: 10.1016/j.ccell.2015.09.018. Epub 2015 Oct 29.
- Klein EA, Richards D, Cohn A, Tummala M, Lapham R, Cosgrove D, Chung G, Clement J, Gao J, Hunkapiller N, Jamshidi A, Kurtzman KN, Seiden MV, Swanton C, Liu MC. Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set. Ann Oncol. 2021 Sep;32(9):1167-1177. doi: 10.1016/j.annonc.2021.05.806. Epub 2021 Jun 24.
- Liu MC, Oxnard GR, Klein EA, Swanton C, Seiden MV; CCGA Consortium. Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA. Ann Oncol. 2020 Jun;31(6):745-759. doi: 10.1016/j.annonc.2020.02.011. Epub 2020 Mar 30.
- Mellby LD, Nyberg AP, Johansen JS, Wingren C, Nordestgaard BG, Bojesen SE, Mitchell BL, Sheppard BC, Sears RC, Borrebaeck CAK. Serum Biomarker Signature-Based Liquid Biopsy for Diagnosis of Early-Stage Pancreatic Cancer. J Clin Oncol. 2018 Oct 1;36(28):2887-2894. doi: 10.1200/JCO.2017.77.6658. Epub 2018 Aug 14.
- blood-cell-RNA