Establishment and proteomic characterization of NCC-LMS1-C1, a novel cell line of primary leiomyosarcoma of the bone

Marimu Sakumoto, Mami Takahashi, Rieko Oyama, Yoko Takai, Fusako Kito, Kumiko Shiozawa, Zhiwei Qiao, Akihiko Yoshida, Makoto Endo, Akira Kawai, Tadashi Kondo

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Background: Leiomyosarcoma (LMS) is one of most aggressive mesenchymal malignancies that differentiate towards smooth muscle. The clinical outcome of LMS patients is poor; as such, there is an urgent need for novel therapeutic approaches. Experimental models such as patient-derived cell lines are invaluable tools for pre-clinical studies. In the present study, we established a stable cell line from the tumor tissue of a patient with a primary LMS of the bone. Despite the urgent need for novel therapeutic strategies in LMS, there are only a few LMS cell lines available in public cell banks, none of which are primary to the bone. Methods: Bone primary LMS tumor tissues were sampled to establish cell lines. Morphological and proteomic analyses were performed and sensitivity to pazopanib was evaluated. Results: NCC-LMS1-C1 cells were maintained for over 100 passages. The cells exhibited a spindle shape and aggressive growth; they also expressed smooth muscle actin, reflecting the original LMS tissue (i.e. smooth muscle cells). The cells also showed tumor characteristics such as colony formation on soft agar and sensitivity to pazopanib, doxorubicin and cisplatin, with half-maximal inhibitory concentrations of 4.5, 0.11 and 20 μM, respectively. Proteomic analyses by mass spectrometry and antibody array revealed some differences in the protein expression profiles of these cells as compared to the original tumor tissue. Conclusions: Our results indicate that the NCC-LMS1-C1 cell lines will be useful for LMS research.

Original languageEnglish
Pages (from-to)954-961
Number of pages8
JournalJapanese journal of clinical oncology
Volume47
Issue number10
DOIs
Publication statusPublished - Oct 1 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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