Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts

Jun Nakayama, Hiroko Matsunaga, Koji Arikawa, Takuya Yoda, Masahito Hosokawa, Haruko Takeyama, Yusuke Yamamoto, Kentaro Semba

研究成果: Article査読

抄録

Gene expression analysis at the single-cell level by next generation sequencing has revealed the existence of clonal dissemination and microheterogeneity in cancer metastasis. The current spatial analysis technologies can elucidate the heterogeneity of cell-cell interactions in situ. To reveal the regional and expressional heterogeneity in primary tumors and metastases, we performed transcriptomic analysis of microtissues dissected from a triple-negative breast cancer (TNBC) cell line MDA-MB-231 xenograft model with our automated tissue microdissection punching technology. This multiple-microtissue transcriptome analysis revealed three cancer cell-type clusters in the primary tumor and axillary lymph node metastasis, two of which were cancer stem cell (CSC)-like clusters (CD44/MYC-high, HMGA1-high). Reanalysis of public single-cell RNA-seq (scRNA-seq) datasets confirmed that the two CSC-like populations existed both in TNBC xenograft models and TNBC patients. The diversity of these multiple CSC-like populations may cause differential anticancer drug resistance, increasing the difficulty of curing this cancer.

本文言語English
論文番号dmm049538
ジャーナルDMM Disease Models and Mechanisms
15
6
DOI
出版ステータスPublished - 2022

ASJC Scopus subject areas

  • 神経科学(その他)
  • 医学(その他)
  • 免疫学および微生物学(その他)
  • 生化学、遺伝学、分子生物学(全般)

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