Literature DB >> 35973030

IGF-binding proteins secreted by cancer-associated fibroblasts induce context-dependent drug sensitization of lung cancer cells.

Lily L Remsing Rix1, Natalia J Sumi1,2, Qianqian Hu1,2, Bina Desai1,2, Annamarie T Bryant1, Xueli Li1, Eric A Welsh3, Bin Fang4, Fumi Kinose5, Brent M Kuenzi1,2, Y Ann Chen6,7, Scott J Antonia5, Christine M Lovly8, John M Koomen7,9, Eric B Haura5, Andriy Marusyk7,10, Uwe Rix1,7.   

Abstract

Cancer-associated fibroblasts (CAFs) in the tumor microenvironment are often linked to drug resistance. Here, we found that coculture with CAFs or culture in CAF-conditioned medium unexpectedly induced drug sensitivity in certain lung cancer cell lines. Gene expression and secretome analyses of CAFs and normal lung-associated fibroblasts (NAFs) revealed differential abundance of insulin-like growth factors (IGFs) and IGF-binding proteins (IGFBPs), which promoted or inhibited, respectively, signaling by the receptor IGF1R and the kinase FAK. Similar drug sensitization was seen in gefitinib-resistant, EGFR-mutant PC9GR lung cancer cells treated with recombinant IGFBPs. Conversely, drug sensitivity was decreased by recombinant IGFs or conditioned medium from CAFs in which IGFBP5 or IGFBP6 was silenced. Phosphoproteomics and receptor tyrosine kinase (RTK) array analyses indicated that exposure of PC9GR cells to CAF-conditioned medium also inhibited compensatory IGF1R and FAK signaling induced by the EGFR inhibitor osimertinib. Combined small-molecule inhibition of IGF1R and FAK phenocopied the CAF-mediated effects in culture and increased the antitumor effect of osimertinib in mice. Cells that were osimertinib resistant and had MET amplification or showed epithelial-to-mesenchymal transition also displayed residual sensitivity to IGFBPs. Thus, CAFs promote or reduce drug resistance in a context-dependent manner, and deciphering the relationship between the differential content of CAF secretomes and the signaling dependencies of the tumor may reveal effective combination treatment strategies.

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Year:  2022        PMID: 35973030      PMCID: PMC9528501          DOI: 10.1126/scisignal.abj5879

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   9.517


  80 in total

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Journal:  Curr Opin Genet Dev       Date:  2008-03-05       Impact factor: 5.578

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Authors:  Masayuki Ishibashi; Shinya Neri; Hiroko Hashimoto; Tomoyuki Miyashita; Tatsuya Yoshida; Yuka Nakamura; Hibiki Udagawa; Keisuke Kirita; Shingo Matsumoto; Shigeki Umemura; Kiyotaka Yoh; Seiji Niho; Masahiro Tsuboi; Kenkichi Masutomi; Koichi Goto; Atsushi Ochiai; Genichiro Ishii
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

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Authors:  Kristian Pietras; Jessica Pahler; Gabriele Bergers; Douglas Hanahan
Journal:  PLoS Med       Date:  2008-01-29       Impact factor: 11.069

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