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Tracking Karyotype Changes in Treatment-Induced Drug-Resistant Evolution.
Ye, Jing Christine; Heng, Henry H.
Affiliation
  • Ye JC; Department of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Heng HH; Department of Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA. hheng@med.wayne.edu.
Methods Mol Biol ; 2825: 263-280, 2024.
Article in En | MEDLINE | ID: mdl-38913315
ABSTRACT
Karyotype coding, which encompasses the complete chromosome sets and their topological genomic relationships within a given species, encodes system-level information that organizes and preserves genes' function, and determines the macroevolution of cancer. This new recognition emphasizes the crucial role of karyotype characterization in cancer research. To advance this cancer cytogenetic/cytogenomic concept and its platforms, this study outlines protocols for monitoring the karyotype landscape during treatment-induced rapid drug resistance in cancer. It emphasizes four key perspectives combinational analyses of phenotype and karyotype, a focus on the entire evolutionary process through longitudinal analysis, a comparison of whole landscape dynamics by including various types of NCCAs (including genome chaos), and the use of the same process to prioritize different genomic scales. This protocol holds promise for studying numerous evolutionary aspects of cancers, and it further enhances the power of karyotype analysis in cancer research.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Neoplasm / Karyotype / Karyotyping / Neoplasms Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Neoplasm / Karyotype / Karyotyping / Neoplasms Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States