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A developmental constraint model of cancer cell states and tumor heterogeneity.
Patel, Ayushi S; Yanai, Itai.
Afiliação
  • Patel AS; Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA; Department of Biochemistry & Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA; Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
  • Yanai I; Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY, USA; Department of Biochemistry & Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA; Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA. Electronic address: itai.yanai@nyulangone.org.
Cell ; 187(12): 2907-2918, 2024 Jun 06.
Article em En | MEDLINE | ID: mdl-38848676
ABSTRACT
Cancer is a disease that stems from a fundamental liability inherent to multicellular life forms in which an individual cell is capable of reneging on the interests of the collective organism. Although cancer is commonly described as an evolutionary process, a less appreciated aspect of tumorigenesis may be the constraints imposed by the organism's developmental programs. Recent work from single-cell transcriptomic analyses across a range of cancer types has revealed the recurrence, plasticity, and co-option of distinct cellular states among cancer cell populations. Here, we note that across diverse cancer types, the observed cell states are proximate within the developmental hierarchy of the cell of origin. We thus posit a model by which cancer cell states are directly constrained by the organism's "developmental map." According to this model, a population of cancer cells traverses the developmental map, thereby generating a heterogeneous set of states whose interactions underpin emergent tumor behavior.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos