Literature DB >> 22978339

Polymorphisms to predict outcome to the tyrosine kinase inhibitors gefitinib, erlotinib, sorafenib and sunitinib.

Lale Erdem1, Elisa Giovannetti, Leticia G Leon, Richard Honeywell, Godefridus J Peters.   

Abstract

Conventional chemotherapeutic regimens have limited impact against most solid tumors and deal with significant toxicity. During the last years novel anticancer treatments targeting specific molecules or genes involved in cancer development are being developed to improve outcome and reduce side-effects. In particular several tyrosine-kinase inhibitors (TKIs, gefitinib, erlotinib, sorafenib and sunitinib) have been approved for the treatment of different solid tumors. Their clinical activity has been related to different clinical and biological parameters, such as the EGFR-activating mutations for gefitinib and erlotinib. However, not all clinical outcomes, including tolerability, are explained, and the identification/ validation of novel biomarkers is a viable area of research. Germline polymorphisms can be easily assessed in blood samples, and polymorphisms in EGFR, AKT1 and ABCG2 have been correlated with outcome and toxicity in lung cancer patients given EGFR-TKIs therapies. However, there are several controversial findings, influenced by differences in study design/analysis, while the prognostic/predictive role of these polymorphisms still needs to be evaluated within prospective studies. More studies on the relationship of the genotype with drug pharmacokinetics and mechanism of action are also warranted. All these studies, as well as further development and application of novel technologies to decipher genetic alterations, might contribute to the validation of selected polymorphisms as molecular markers predictive of drug activity and help in the selection of TKIs best suited to the individual patient.

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Year:  2012        PMID: 22978339     DOI: 10.2174/156802612803531333

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  7 in total

1.  Myeloid-Derived Suppressor Cells as an Immune Parameter in Patients with Concurrent Sunitinib and Stereotactic Body Radiotherapy.

Authors:  Hui-Ming Chen; Ge Ma; Neil Gildener-Leapman; Samuel Eisenstein; Brian A Coakley; Junko Ozao; John Mandeli; Celia Divino; Myron Schwartz; Max Sung; Robert Ferris; Johnny Kao; Lu-Hai Wang; Ping-Ying Pan; Eric C Ko; Shu-Hsia Chen
Journal:  Clin Cancer Res       Date:  2015-04-28       Impact factor: 12.531

2.  Polymorphisms in epidermal growth factor receptor (EGFR) and AKT1 as possible predictors of clinical outcome in advanced non-small-cell lung cancer patients treated with EGFR tyrosine kinase inhibitors.

Authors:  Xiaoqing Zhang; Junwei Fan; Yuping Li; Shengtao Lin; Ping Shu; Jian Ni; Shengying Qin; Zhemin Zhang
Journal:  Tumour Biol       Date:  2015-08-14

3.  Clinicopathological and prognostic factors for long-term survival in Chinese patients with metastatic renal cell carcinoma treated with sorafenib: a single-center retrospective study.

Authors:  Hai-Liang Zhang; Xiao-Jian Qin; Hong-Kai Wang; Wei-Jie Gu; Chun-Guang Ma; Guo-Hai Shi; Liang-Ping Zhou; Ding-Wei Ye
Journal:  Oncotarget       Date:  2015-11-03

4.  Germline mutation analyses of malignant ground glass opacity nodules in non-smoking lung adenocarcinoma patients.

Authors:  Wenjun Mao; Ruo Chen; Rongguo Lu; Shengfei Wang; Huizhu Song; Dan You; Feng Liu; Yijun He; Mingfeng Zheng
Journal:  PeerJ       Date:  2021-08-31       Impact factor: 2.984

5.  Identification of clinical biomarkers for patients with advanced hepatocellular carcinoma receiving sorafenib.

Authors:  A Lamarca; O Abdel-Rahman; I Salu; M G McNamara; J W Valle; R A Hubner
Journal:  Clin Transl Oncol       Date:  2016-08-19       Impact factor: 3.340

6.  The influence of genetic variants of sorafenib on clinical outcomes and toxic effects in patients with advanced renal cell carcinoma.

Authors:  Chao Qin; Qiang Cao; Pu Li; Shangqian Wang; Jian Wang; Meilin Wang; Haiyan Chu; Liqun Zhou; Xuesong Li; Dingwei Ye; Hailiang Zhang; Yiran Huang; Baijun Dong; Xiaofeng Sun; Qing Zou; Hongzhou Cai; Lijiang Sun; Jian Zhu; Fade Liu; Junbiao Ji; Li Cui; Xiaoxiang Wang; Hai Zhou; Hu Zhao; Bin Wu; Jianchun Chen; Minjun Jiang; Zhengdong Zhang; Pengfei Shao; Xiaobing Ju; Changjun Yin
Journal:  Sci Rep       Date:  2016-02-02       Impact factor: 4.379

7.  Pharmacogenetic Aspects of the Interaction of AT1 Receptor Antagonists With ATP-Binding Cassette Transporter ABCG2.

Authors:  Anne Ripperger; Anna Krischer; Dina Robaa; Wolfgang Sippl; Ralf A Benndorf
Journal:  Front Pharmacol       Date:  2018-05-14       Impact factor: 5.810

  7 in total

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