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Secretome analysis of patient-derived GBM tumor spheres identifies midkine as a potent therapeutic target

Cited 15 time in Web of Science Cited 13 time in Scopus
Authors

Han, Suji; Shin, Hyemi; Lee, Jin-Ku; Liu, Zhaoqi; Rabadan, Raul; Lee, Jeongwu; Shin, Jihye; Lee, Cheolju; Yang, Heekyoung; Kim, Donggeon; Kim, Sung Heon; Kim, Jooyeon; Oh, Jeong-Woo; Kong, Doo-Sik; Lee, Jung-Il; Seol, Ho Jun; Choi, Jung Won; Kang, Hyun Ju; Nam, Do-Hyun

Issue Date
2019-12
Publisher
생화학분자생물학회
Citation
Experimental & Molecular Medicine, Vol.51 No.12, pp.1-11
Abstract
Glioblastoma (GBM) is the most lethal primary brain tumor with few treatment options. The survival of gliomainitiating cells (GICs) is one of the major factors contributing to treatment failure. GICs frequently produce and respond to their own growth factors that support cell proliferation and survival. In this study, we aimed to identify critical autocrine factors mediating GIC survival and to evaluate the anti-GBM effect of antagonizing these factors. Proteomic analysis was performed using conditioned media from two different patient-derived GBM tumor spheres under a growth factor-depleted status. Then, the antitumor effects of inhibiting an identified autocrine factor were evaluated by bioinformatic analysis and molecular validation. Proteins secreted by sphere-forming GICs promote cell proliferation/survival and detoxify reactive oxygen species (ROS). Among these proteins, we focused on midkine (MDK) as a clinically significant and pathologically relevant autocrine factor. Antagonizing MDK reduced the survival of GBM tumor spheres through the promotion of cell cycle arrest and the consequent apoptotic cell death caused by oxidative stress-induced DNA damage. We also identified PCBP4, a novel molecular predictor of resistance to anti-MDK treatment. Collectively, our results indicate that MDK inhibition is an important therapeutic option by suppressing GIC survival through the induction of ROS-mediated cell cycle arrest and apoptosis.
ISSN
1226-3613
URI
https://hdl.handle.net/10371/191544
DOI
https://doi.org/10.1038/s12276-019-0351-y
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  • College of Medicine
  • Department of Medicine
Research Area 3D drug screening, Cancer Organoid, Precision Oncologuy

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