Literature DB >> 33925114

Drug-Like Small Molecule HSP27 Functional Inhibitor Sensitizes Lung Cancer Cells to Gefitinib or Cisplatin by Inducing Altered Cross-Linked Hsp27 Dimers.

Hawon Yoo1, Seul-Ki Choi1, Jaeok Lee1, So Hyeon Park1, You Na Park1, Soo-Yeon Hwang1, Jae-Ho Shin2, Younghwa Na2, Youngjoo Kwon1, Hwa Jeong Lee1, Yun-Sil Lee1.   

Abstract

Relationships between heat shock protein 27 (HSP27) and cancer aggressiveness, metastasis, drug resistance, and poor patient outcomes in various cancer types including non-small cell lung cancer (NSCLC) were reported, and inhibition of HSP27 expression is suggested to be a possible strategy for cancer therapy. Unlike HSP90 or HSP70, HSP27 does not have an ATP-binding pocket, and no effective HSP27 inhibitors have been identified. Previously, NSCLC cancer cells were sensitized to radiation and chemotherapy when co-treated with small molecule HSP27 functional inhibitors such as zerumbone (ZER), SW15, and J2 that can induce abnormal cross-linked HSP27 dimer. In this study, cancer inhibition effects of NA49, a chromenone compound with better solubility, longer circulation time, and less toxicity than J2, were examined in combination with anticancer drugs such as cisplatin and gefitinib in NSCLC cell lines. When the cytotoxic drug cisplatin was treated in combination with NA49 in epidermal growth factor receptors (EGFRs) WT cell lines, sensitization was induced in an HSP27 expression-dependent manner. With gefitinib treatment, NA49 showed increased combination effects in both EGFR WT and Mut cell lines, also with HSP27 expression-dependent patterns. Moreover, NA49 induced sensitization in EGFR Mut cells with a secondary mutation of T790M when combined with gefitinib. Augmented tumor growth inhibition was shown with the combination of cisplatin or gefitinib and NA49 in nude mouse xenograft models. These results suggest the combination of HSP27 inhibitor NA49 and anticancer agents as a candidate for overcoming HSP27-mediated drug resistance in NSCLC patients.

Entities:  

Keywords:  EGFR; HSP27; HSP27 inhibitor; NA49; NSCLC; combination therapy; drug resistance; heat shock protein

Year:  2021        PMID: 33925114     DOI: 10.3390/pharmaceutics13050630

Source DB:  PubMed          Journal:  Pharmaceutics        ISSN: 1999-4923            Impact factor:   6.321


  48 in total

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Journal:  Biochem Biophys Res Commun       Date:  2001-08-24       Impact factor: 3.575

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Authors:  Han-Shui Hsu; Jiun-Han Lin; Wen-Chien Huang; Tien-Wei Hsu; Kelly Su; Shih-Hwa Chiou; Yo-Ting Tsai; Shih-Chieh Hung
Journal:  Cancer       Date:  2010-11-08       Impact factor: 6.860

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Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

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Journal:  J Therm Biol       Date:  2017-06-07       Impact factor: 2.902

5.  Revised methods for the Salmonella mutagenicity test.

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Journal:  Mutat Res       Date:  1983-05       Impact factor: 2.433

6.  Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (WJTOG3405): an open label, randomised phase 3 trial.

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Journal:  Lancet Oncol       Date:  2009-12-18       Impact factor: 41.316

7.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

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Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

8.  Role of KRAS and EGFR as biomarkers of response to erlotinib in National Cancer Institute of Canada Clinical Trials Group Study BR.21.

Authors:  Chang-Qi Zhu; Gilda da Cunha Santos; Keyue Ding; Akira Sakurada; Jean-Claude Cutz; Ni Liu; Tong Zhang; Paula Marrano; Marlo Whitehead; Jeremy A Squire; Suzanne Kamel-Reid; Lesley Seymour; Frances A Shepherd; Ming-Sound Tsao
Journal:  J Clin Oncol       Date:  2008-07-14       Impact factor: 44.544

9.  Heat shock protein 27 increases after androgen ablation and plays a cytoprotective role in hormone-refractory prostate cancer.

Authors:  Palma Rocchi; Alan So; Satoko Kojima; Maxim Signaevsky; Eliana Beraldi; Ladan Fazli; Antonio Hurtado-Coll; Kazuki Yamanaka; Martin Gleave
Journal:  Cancer Res       Date:  2004-09-15       Impact factor: 12.701

10.  Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Authors:  Alexander L Perryman; Thomas P Stratton; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2015-09-28       Impact factor: 4.200

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