Tumor-informed deep sequencing of ctDNA detects minimal residual disease and predicts relapse in osteosarcoma

Authors

Yiwei Fu, Sun Yat-sen University
Albert H Kim, Washington University School of Medicine in St. Louis
Dimitrios Mathios, Washington University School of Medicine in St. Louis
et al.

Journal

eClinicalMedicine

Publication Date

7-1-2024

Volume

73

First Page

102697

Document Type

Open Access Publication

DOI

10.1016/j.eclinm.2024.102697

Rights and Permissions

Fu Y, Xu Y, Liu W, Zhang J, Wang F, Jian Q, Huang G, Zou C, Xie X, Kim AH, Mathios D, Pang F, Li F, Wang K, Shen J, Yin J. Tumor-informed deep sequencing of ctDNA detects minimal residual disease and predicts relapse in osteosarcoma. EClinicalMedicine. 2024 Jun 20;73:102697. doi: 10.1016/j.eclinm.2024.102697. © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Recommended Citation

Fu, Yiwei; Kim, Albert H; Mathios, Dimitrios; and et al., "Tumor-informed deep sequencing of ctDNA detects minimal residual disease and predicts relapse in osteosarcoma." eClinicalMedicine. 73, 102697 (2024).
https://digitalcommons.wustl.edu/oa_4/5190

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.