Literature DB >> 34655303

Cyclic sulfur compounds targeting macrophage polarization into M2/protumor phenotype and their anti-tumor effects.

Cheng Pan1, Yukio Fujiwara2, Hasita Horlad1, Toyohisa Iriki1, Daisuke Shiraishi1, Yoshihiro Komohara3,4.   

Abstract

Tumor-associated macrophages (TAMs), especially the M2-like phenotype, promote tumor progression, making them candidate targets for anti-tumor therapy. We previously discovered a cyclic sulfur compound, Onionin A (ONA), which suppresses tumor progression by inhibiting the M2-polarization of TAMs. In the present study, we sought to find new candidate compounds possessing a stronger effect compared to ONA by exploring compounds with structures similar to those of ONA among several cyclic sulfur compounds. A total of 81 cyclic sulfur compounds were screened, and their effects on macrophage polarization toward an M2-like phenotype were tested using human monocyte-derived macrophages (HMDMs). The anti-tumor effects of the identified candidate compounds were examined in a tumor-bearing mouse model. Three candidate compounds inhibited both IL-10- and tumor culture supernatant (TCS)-induced M2-polarization of HMDMs. These compounds also suppressed STAT3 activation in HMDMs stimulated by IL-10 and TCS, whereas these compounds had no effect on STAT3 activation in tumor cells. Furthermore, these compounds inhibited tumor cell proliferation under co-culture conditions with HMDMs, indicating that the three candidate compounds suppress tumor proliferation by regulating cell-cell interactions between tumor cells and macrophages. In addition, two of these candidate compounds had inhibitory effects on tumor growth and lung metastasis in the LM8 tumor-bearing mouse model. Our study identified new candidate cyclic sulfur compounds for anti-tumor therapy targeting the M2-polarization of TAMs.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Keywords:  Cyclic sulfur compounds; M2-polarization; STAT3; Tumor-associated macrophages; Tumors

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Year:  2021        PMID: 34655303     DOI: 10.1007/s00262-021-03085-1

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  1 in total

1.  Tumor microenvironment-related multigene prognostic prediction model for breast cancer.

Authors:  Kai Hong; Yingjue Zhang; Lingli Yao; Jiabo Zhang; Xianneng Sheng; Yu Guo
Journal:  Aging (Albany NY)       Date:  2022-01-20       Impact factor: 5.682

  1 in total

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