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Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis.
Boiarsky, Rebecca; Haradhvala, Nicholas J; Alberge, Jean-Baptiste; Sklavenitis-Pistofidis, Romanos; Mouhieddine, Tarek H; Zavidij, Oksana; Shih, Ming-Chieh; Firer, Danielle; Miller, Mendy; El-Khoury, Habib; Anand, Shankara K; Aguet, François; Sontag, David; Ghobrial, Irene M; Getz, Gad.
Afiliación
  • Boiarsky R; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Haradhvala NJ; CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Alberge JB; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Sklavenitis-Pistofidis R; Harvard Graduate Program in Biophysics, Cambridge, MA, USA.
  • Mouhieddine TH; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Zavidij O; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Shih MC; Harvard Medical School, Boston, MA, USA.
  • Firer D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Miller M; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • El-Khoury H; Harvard Medical School, Boston, MA, USA.
  • Anand SK; Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Aguet F; Constellation Pharmaceuticals a MorphoSys Company, Cambridge, MA, USA.
  • Sontag D; CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Ghobrial IM; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Getz G; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Commun ; 13(1): 7040, 2022 11 17.
Article en En | MEDLINE | ID: mdl-36396631
ABSTRACT
Multiple myeloma is a plasma cell malignancy almost always preceded by precursor conditions, but low tumor burden of these early stages has hindered the study of their molecular programs through bulk sequencing technologies. Here, we generate and analyze single cell RNA-sequencing of plasma cells from 26 patients at varying disease stages and 9 healthy donors. In silico dissection and comparison of normal and transformed plasma cells from the same bone marrow biopsy enables discovery of patient-specific transcriptional changes. Using Non-Negative Matrix Factorization, we discover 15 gene expression signatures which represent transcriptional modules relevant to myeloma biology, and identify a signature that is uniformly lost in abnormal cells across disease stages. Finally, we demonstrate that tumors contain heterogeneous subpopulations expressing distinct transcriptional patterns. Our findings characterize transcriptomic alterations present at the earliest stages of myeloma, providing insight into the molecular underpinnings of disease initiation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mieloma Múltiple Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mieloma Múltiple Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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