Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning-Reference-Cited by-同舟云学术

Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning

Published:2021-09-06 Issue:12 Volume:101 Page:1585-1596
ISSN:0023-6837
Container-title:Laboratory Investigation
language:en
Short-container-title:Lab Invest

Author:

Makielski Kelly M.^ORCID,Donnelly Alicia J.,Khammanivong Ali,Scott Milcah C.,Ortiz Andrea R.,Galvan Dana C.,Tomiyasu Hirotaka,Amaya Clarissa,Ward Kristin A.,Montoya Alexa,Garbe John R.,Mills Lauren J.,Cutter Gary R.,Fenger Joelle M.,Kisseberth William C.,O’Brien Timothy D.,Weigel Brenda J.,Spector Logan G.,Bryan Brad A.,Subramanian Subbaya^ORCID,Modiano Jaime F.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Pathology and Forensic Medicine

Link

https://www.nature.com/articles/s41374-021-00655-w.pdf

Reference47 articles.

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2. Allison, D. C. et al. A meta-analysis of osteosarcoma outcomes in the modern medical era. Sarcoma 2012, 704872 (2012).

3. Scott, M. C. et al. Comparative transcriptome analysis quantifies immune cell transcript levels, metastatic progression, and survival in osteosarcoma. Cancer Res. 78, 326–337 (2018).

4. Sarver, A. L. et al. MicroRNAs at the human 14q32 locus have prognostic significance in osteosarcoma. Orphanet J. Rare Dis. 8, 7 (2013).

5. Scott, M. C. et al. Molecular subtypes of osteosarcoma identified by reducing tumor heterogeneity through an interspecies comparative approach. Bone 49, 356–367 (2011).

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