Literature DB >> 28611104

Cisplatin Increases Sensitivity to FGFR Inhibition in Patient-Derived Xenograft Models of Lung Squamous Cell Carcinoma.

Clare E Weeden1,2, Aliaksei Z Holik1,2, Richard J Young3, Stephen B Ma1,2, Jean-Marc Garnier2,4, Stephen B Fox3,5, Phillip Antippa6,6, Louis B Irving7,8, Daniel P Steinfort7,8, Gavin M Wright9, Prudence A Russell10, Matthew E Ritchie2,11,12, Christopher J Burns2,4, Benjamin Solomon3,5, Marie-Liesse Asselin-Labat13,2.   

Abstract

Lung squamous cell carcinoma (SqCC) is a molecularly complex and genomically unstable disease. No targeted therapy is currently approved for lung SqCC, although potential oncogenic drivers of SqCC have been identified, including amplification of the fibroblast growth factor receptor 1 (FGFR1). Reports from a recently completed clinical trial indicate low response rates in patients treated with FGFR tyrosine kinase inhibitors, suggesting inadequacy of FGFR1 amplification as a biomarker of response, or the need for combination treatment. We aimed to develop accurate models of lung SqCC and determine improved targeted therapies for these tumors. We show that detection of FGFR1 mRNA by RNA in situ hybridization is a better predictor of response to FGFR inhibition than FGFR1 gene amplification using clinically relevant patient-derived xenograft (PDX) models of lung SqCC. FGFR1-overexpressing tumors were observed in all histologic subtypes of non-small cell lung cancers (NSCLC) as assessed on a tissue microarray, indicating a broader range of tumors that may respond to FGFR inhibitors. In FGFR1-overexpressing PDX tumors, we observed increased differentiation and reduced proliferation following FGFR inhibition. Combination therapy with cisplatin was able to increase tumor cell death, and dramatically prolonged animal survival compared to single-agent treatment. Our data suggest that FGFR tyrosine kinase inhibitors can benefit NSCLC patients with FGFR1-overexpressing tumors and provides a rationale for clinical trials combining cisplatin with FGFR inhibitors. Mol Cancer Ther; 16(8); 1610-22. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28611104     DOI: 10.1158/1535-7163.MCT-17-0174

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  11 in total

Review 1.  [Biobanking and the further development of precision medicine].

Authors:  E Dahl
Journal:  Pathologe       Date:  2018-07       Impact factor: 1.011

Review 2.  Lung Cancers: Molecular Characterization, Clonal Heterogeneity and Evolution, and Cancer Stem Cells.

Authors:  Ugo Testa; Germana Castelli; Elvira Pelosi
Journal:  Cancers (Basel)       Date:  2018-07-27       Impact factor: 6.639

3.  FGFR1 gene amplification in squamous cell carcinomas of the lung: a potential favorable prognostic marker for women and for patients with advanced cancer.

Authors:  Fidelis Andrea Flockerzi; Cristiana Roggia; Frank Langer; Bernd Holleczek; Rainer M Bohle
Journal:  Virchows Arch       Date:  2017-12-21       Impact factor: 4.064

4.  Expansion of cancer stem cell pool initiates lung cancer recurrence before angiogenesis.

Authors:  Lei Li; Jiang-Chao Li; Hong Yang; Xu Zhang; Lu-Lu Liu; Yan Li; Ting-Ting Zeng; Ying-Hui Zhu; Xiao-Dong Li; Yan Li; Dan Xie; Li Fu; Xin-Yuan Guan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-29       Impact factor: 11.205

5.  Dual inhibition of BCL-XL and MCL-1 is required to induce tumour regression in lung squamous cell carcinomas sensitive to FGFR inhibition.

Authors:  Clare E Weeden; Casey Ah-Cann; Aliaksei Z Holik; Julie Pasquet; Jean-Marc Garnier; Delphine Merino; Guillaume Lessene; Marie-Liesse Asselin-Labat
Journal:  Oncogene       Date:  2018-05-10       Impact factor: 9.867

6.  Systematic Review of Patient-Derived Xenograft Models for Preclinical Studies of Anti-Cancer Drugs in Solid Tumors.

Authors:  Yoshikatsu Koga; Atsushi Ochiai
Journal:  Cells       Date:  2019-05-06       Impact factor: 6.600

7.  SuperFreq: Integrated mutation detection and clonal tracking in cancer.

Authors:  Christoffer Flensburg; Tobias Sargeant; Alicia Oshlack; Ian J Majewski
Journal:  PLoS Comput Biol       Date:  2020-02-13       Impact factor: 4.475

Review 8.  Applications of patient-derived tumor xenograft models and tumor organoids.

Authors:  Go J Yoshida
Journal:  J Hematol Oncol       Date:  2020-01-07       Impact factor: 17.388

9.  PDX models of human lung squamous cell carcinoma: consideration of factors in preclinical and co-clinical applications.

Authors:  Hae-Yun Jung; Tae Ho Kim; Jong-Eun Lee; Hong Kwan Kim; Jong Ho Cho; Yong Soo Choi; Sumin Shin; Se-Hoon Lee; Hwanseok Rhee; Hee Kyung Lee; Hyun Jung Choi; Hye Yoon Jang; Seungjae Lee; Jung Hee Kang; Young Ae Choi; Sanghyuk Lee; Jinseon Lee; Yoon La Choi; Jhingook Kim
Journal:  J Transl Med       Date:  2020-08-06       Impact factor: 5.531

Review 10.  Mapping lung squamous cell carcinoma pathogenesis through in vitro and in vivo models.

Authors:  Sandra Gómez-López; Zoe E Whiteman; Sam M Janes
Journal:  Commun Biol       Date:  2021-08-05
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