Single-cell technologies uncover intra-tumor heterogeneity in childhood cancers.

Autor: Lo YC; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA., Liu Y; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA., Kammersgaard M; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA., Koladiya A; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA., Keyes TJ; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA.; Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA, USA., Davis KL; Department of Pediatrics, Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Stanford University, Stanford, CA, USA. kardavis@stanford.edu.
Jazyk: angličtina
Zdroj: Seminars in immunopathology [Semin Immunopathol] 2023 Jan; Vol. 45 (1), pp. 61-69. Date of Electronic Publication: 2023 Jan 10.
DOI: 10.1007/s00281-022-00981-1
Abstrakt: Childhood cancer is the second leading cause of death in children aged 1 to 14. Although survival rates have vastly improved over the past 40 years, cancer resistance and relapse remain a significant challenge. Advances in single-cell technologies enable dissection of tumors to unprecedented resolution. This facilitates unraveling the heterogeneity of childhood cancers to identify cell subtypes that are prone to treatment resistance. The rapid accumulation of single-cell data from different modalities necessitates the development of novel computational approaches for processing, visualizing, and analyzing single-cell data. Here, we review single-cell approaches utilized or under development in the context of childhood cancers. We review computational methods for analyzing single-cell data and discuss best practices for their application. Finally, we review the impact of several studies of childhood tumors analyzed with these approaches and future directions to implement single-cell studies into translational cancer research in pediatric oncology.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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