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Identification of therapy-induced clonal evolution and resistance pathways in minimal residual clones in multiple myeloma through single-cell sequencing.
Cui, Jian; Li, Xiaoyun; Deng, Shuhui; Du, Chenxing; Fan, Huishou; Yan, Wenqiang; Xu, Jingyu; Li, Xiaoqing; Yu, Tengteng; Zhang, Shuaishuai; Lv, Rui; Sui, Weiwei; Hao, Mu; Du, Xin; Xu, Yan; Yi, Shuhua; Zou, Dehui; Cheng, Tao; Qiu, Lugui; Gao, Xin; An, Gang.
Afiliación
  • Cui J; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Li X; Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Deng S; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Du C; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Fan H; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Yan W; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, Tianjin, China.
  • Xu J; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, Tianjin, China.
  • Li X; Shenzhen Second People's Hospital, SHENZHEN, China.
  • Yu T; Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
  • Zhang S; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Lv R; State Key Laboratory of Experimental Hematology, Institute of Hematology and Blood Disease Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China.
  • Sui W; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Hao M; Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
  • Du X; Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen, China., China.
  • Xu Y; Dana-Farber Cancer Institute, Tianjin, Tianjin, China.
  • Yi S; Institute of Hematology & Blood Diseases Hospital, Tianjin, China.
  • Zou D; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Cheng T; Institute of Hematology and Blood Diseases Hospital, Tianjin, China.
  • Qiu L; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • Gao X; Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
  • An G; Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, Tianjin, China.
Clin Cancer Res ; 2024 Jun 20.
Article en En | MEDLINE | ID: mdl-38900040
ABSTRACT

PURPOSE:

In multiple myeloma (MM), therapy-induced clonal evolution is associated with treatment resistance and is one of the most important hindrances toward a cure for MM. To further understand the molecular mechanisms controlling the clonal evolution of MM, we applied single-cell RNA-sequencing (scRNA-seq) to paired diagnostic and post-treatment bone marrow (BM) samples. EXPERIMENTAL

DESIGN:

scRNA-seq was performed on 38 BM samples from patients with monoclonal gammopathy of undetermined significance (MGUS) (n = 1), MM patients at diagnosis (n = 19), MM post-treatment (n = 17), and one healthy donor. The single-cell transcriptome data of malignant plasma cells and the surrounding immune microenvironment were analyzed.

RESULTS:

Profiling by scRNA-seq data revealed three primary trajectories of transcriptional evolution after treatment clonal elimination in patients with undetectable minimal residual disease (MRD-), as well as clonal stabilization and clonal selection in detectable MRD (MRD+) patients. We noted a metabolic shift towards fatty acid oxidation in cycling-resistant plasma cells (PCs), while selective PCs favored the NF-κB pathway. Intriguingly, when comparing the genetic and transcriptional dynamics, we found a significant correlation between genetic and non-genetic factors in driving the clonal evolution. Furthermore, we identified variations in cellular interactions between malignant plasma cells and the tumor microenvironment (TME). Selective PCs showed the most robust cellular interactions with the TME.

CONCLUSIONS:

These data suggest that MM cells could rapidly adapt to induction treatment through transcriptional adaptation, metabolic adaptation, and specialized immune evasion. Targeting therapy-induced resistance mechanisms may help to avert refractory disease in multiple myeloma.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China
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