Literature DB >> 23002168

FGFR genetic alterations predict for sensitivity to NVP-BGJ398, a selective pan-FGFR inhibitor.

Vito Guagnano1, Audrey Kauffmann, Simon Wöhrle, Christelle Stamm, Moriko Ito, Louise Barys, Astrid Pornon, Yao Yao, Fang Li, Yun Zhang, Zhi Chen, Christopher J Wilson, Vincent Bordas, Mickaël Le Douget, L Alex Gaither, Jason Borawski, John E Monahan, Kavitha Venkatesan, Thomas Brümmendorf, David M Thomas, Carlos Garcia-Echeverria, Francesco Hofmann, William R Sellers, Diana Graus-Porta.   

Abstract

UNLABELLED: Patient stratification biomarkers that enable the translation of cancer genetic knowledge into clinical use are essential for the successful and rapid development of emerging targeted anticancer therapeutics. Here, we describe the identification of patient stratification biomarkers for NVP-BGJ398, a novel and selective fibroblast growth factor receptor (FGFR) inhibitor. By intersecting genome-wide gene expression and genomic alteration data with cell line-sensitivity data across an annotated collection of cancer cell lines called the Cancer Cell Line Encyclopedia, we show that genetic alterations for FGFR family members predict for sensitivity to NVP-BGJ398. For the first time, we report oncogenic FGFR1 amplification in osteosarcoma as a potential patient selection biomarker. Furthermore, we show that cancer cell lines harboring FGF19 copy number gain at the 11q13 amplicon are sensitive to NVP-BGJ398 only when concomitant expression of β-klotho occurs. Thus, our findings provide the rationale for the clinical development of FGFR inhibitors in selected patients with cancer harboring tumors with the identified predictors of sensitivity. SIGNIFICANCE: The success of a personalized medicine approach using targeted therapies ultimately depends on being able to identify the patients who will benefit the most from any given drug. To this end, we have integrated the molecular profiles for more than 500 cancer cell lines with sensitivity data for the novel anticancer drug NVP-BGJ398 and showed that FGFR genetic alterations are the most significant predictors for sensitivity. This work has ultimately endorsed the incorporation of specific patient selection biomakers in the clinical trials for NVP-BGJ398. ©2012 AACR.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23002168     DOI: 10.1158/2159-8290.CD-12-0210

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  120 in total

Review 1.  Cholangiocarcinoma: molecular pathways and therapeutic opportunities.

Authors:  Sumera Rizvi; Mitesh J Borad; Tushar Patel; Gregory J Gores
Journal:  Semin Liver Dis       Date:  2014-11-04       Impact factor: 6.115

2.  Molecular subclasses of hepatocellular carcinoma predict sensitivity to fibroblast growth factor receptor inhibition.

Authors:  Benjamin Schmidt; Lan Wei; Danielle K DePeralta; Yujin Hoshida; Poh Seng Tan; Xiaochen Sun; Janelle P Sventek; Michael Lanuti; Kenneth K Tanabe; Bryan C Fuchs
Journal:  Int J Cancer       Date:  2015-11-09       Impact factor: 7.396

3.  Phase II Study of BGJ398 in Patients With FGFR-Altered Advanced Cholangiocarcinoma.

Authors:  Milind Javle; Maeve Lowery; Rachna T Shroff; Karl Heinz Weiss; Christoph Springfeld; Mitesh J Borad; Ramesh K Ramanathan; Lipika Goyal; Saeed Sadeghi; Teresa Macarulla; Anthony El-Khoueiry; Robin Kate Kelley; Ivan Borbath; Su Pin Choo; Do-Youn Oh; Philip A Philip; Li-Tzong Chen; Thanyanan Reungwetwattana; Eric Van Cutsem; Kun-Huei Yeh; Kristen Ciombor; Richard S Finn; Anuradha Patel; Suman Sen; Dale Porter; Randi Isaacs; Andrew X Zhu; Ghassan K Abou-Alfa; Tanios Bekaii-Saab
Journal:  J Clin Oncol       Date:  2017-11-28       Impact factor: 44.544

Review 4.  Standardized decision support in next generation sequencing reports of somatic cancer variants.

Authors:  Rodrigo Dienstmann; Fei Dong; Darrell Borger; Dora Dias-Santagata; Leif W Ellisen; Long P Le; A John Iafrate
Journal:  Mol Oncol       Date:  2014-04-04       Impact factor: 6.603

5.  Lineage-specific biomarkers predict response to FGFR inhibition.

Authors:  David C Loch; Pamela M Pollock
Journal:  Cancer Discov       Date:  2012-12       Impact factor: 39.397

Review 6.  Personalized Clinical Trials in Hepatocellular Carcinoma Based on Biomarker Selection.

Authors:  Bingnan Zhang; Richard S Finn
Journal:  Liver Cancer       Date:  2016-05-10       Impact factor: 11.740

7.  Genome-Informed Targeted Therapy for Osteosarcoma.

Authors:  Leanne C Sayles; Marcus R Breese; Amanda L Koehne; Stanley G Leung; Alex G Lee; Heng-Yi Liu; Aviv Spillinger; Avanthi T Shah; Bogdan Tanasa; Krystal Straessler; Florette K Hazard; Sheri L Spunt; Neyssa Marina; Grace E Kim; Soo-Jin Cho; Raffi S Avedian; David G Mohler; Mi-Ok Kim; Steven G DuBois; Douglas S Hawkins; E Alejandro Sweet-Cordero
Journal:  Cancer Discov       Date:  2018-09-28       Impact factor: 39.397

8.  C11, a novel fibroblast growth factor receptor 1 (FGFR1) inhibitor, suppresses breast cancer metastasis and angiogenesis.

Authors:  Zhuo Chen; Lin-Jiang Tong; Bai-You Tang; Hong-Yan Liu; Xin Wang; Tao Zhang; Xian-Wen Cao; Yi Chen; Hong-Lin Li; Xu-Hong Qian; Yu-Fang Xu; Hua Xie; Jian Ding
Journal:  Acta Pharmacol Sin       Date:  2018-11-28       Impact factor: 6.150

Review 9.  Current Clinical Trials in Non-muscle Invasive Bladder Cancer.

Authors:  Timo K Nykopp; Jose Batista da Costa; Miles Mannas; Peter C Black
Journal:  Curr Urol Rep       Date:  2018-10-24       Impact factor: 3.092

10.  Protein Tyrosine Phosphatase Receptor Type G (PTPRG) Controls Fibroblast Growth Factor Receptor (FGFR) 1 Activity and Influences Sensitivity to FGFR Kinase Inhibitors.

Authors:  Michal Kostas; Ellen Margrethe Haugsten; Yan Zhen; Vigdis Sørensen; Patrycja Szybowska; Elisa Fiorito; Susanne Lorenz; Nina Jones; Gustavo Antonio de Souza; Antoni Wiedlocha; Jørgen Wesche
Journal:  Mol Cell Proteomics       Date:  2018-01-25       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.