Literature DB >> 25053390

Should EGFR mutations be tested in advanced lung squamous cell carcinomas to guide frontline treatment?

Chao-Hua Chiu1, Teh-Ying Chou, Chi-Lu Chiang, Chun-Ming Tsai.   

Abstract

There is no argument over using epidermal growth factor receptor (EGFR) mutation status to guide the frontline treatment for advanced lung adenocarcinoma (LADC); however, the role of the testing in lung squamous cell carcinoma (LSQC) remains controversial. Currently, the guidelines/consensus statements regarding EGFR mutation testing in LSQC are not consistent among different oncology societies. American Society of Clinical Oncology recommends performing EGFR mutation testing in all patients; European Society for Medical Oncology, College of American Pathologists/International Association for the Study of Lung Cancer/Association for Molecular Pathology, and National Comprehensive Cancer Network suggest for some selected group. EGFR mutation is rarely found in LSQC; however, more importantly, it is not a valid predictive biomarker for EGFR tyrosine kinase inhibitors (EGFR-TKI) in LSQC as it has been shown in LADC. Available data showed that the response rate and progression-free survival in EGFR mutant LSQC patients treated with EGFR-TKI are not better than that observed in patients treated with platinum-doublet chemotherapy in the first-line setting. Therefore, in contrast to advanced LADC, EGFR mutation testing may not be necessarily performed upfront in advanced LSQC because not only the mutation rate is low, but also the predictive value is insufficient. For LSQC patients with known sensitizing-EGFR mutations, both conventional chemotherapy and EGFR-TKI are acceptable frontline treatment options.

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Year:  2014        PMID: 25053390     DOI: 10.1007/s00280-014-2536-3

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


  9 in total

Review 1.  Society for Translational Medicine consensus on postoperative management of EGFR-mutant lung cancer (2019 edition).

Authors:  Wenhua Liang; Kaican Cai; Chun Chen; Haiquan Chen; Wentao Fang; Junke Fu; Xiangning Fu; Shugeng Gao; Jian Hu; Yunchao Huang; Ganning Jiang; Wenjie Jiao; Shanqing Li; Gaofeng Li; Hecheng Li; Hui Li; Xiaofei Li; Naixin Liang; Deruo Liu; Hongxu Liu; Jun Liu; Lunxu Liu; Yang Liu; Qingquan Luo; Haitao Ma; Weimin Mao; Zhongmin Peng; Guibin Qiao; Guoguang Shao; Lijie Tan; Qunyou Tan; Qun Wang; Changli Wang; Qingchen Wu; Shidong Xu; Songtao Xu; Lin Xu; Yue Yang; Fenglei Yu; Baijiang Zhang; Lanjun Zhang; Bo Zhao; Xiuyi Zhi; Alessandro Brunelli; René Horsleben Petersen; Chia-Chuan Liu; Biagio Ricciuti; Giulio Metro; Alessandro Tuzi; Matteo B Suter; Matthew Evison; Nobuhiko Seki; Shinji Sasada; Takhiro Izumo; William Chi-Shing Cho; Jianxing He
Journal:  Transl Lung Cancer Res       Date:  2019-12

2.  An Analysis of EGFR Mutations among 1506 Cases of Non-Small Cell Lung Cancer Patients in Guangxi, China.

Authors:  Wen-E Wei; Nai-Quan Mao; Shu-Fang Ning; Ji-Lin Li; Hai-Zhou Liu; Tong Xie; Jian-Hong Zhong; Yan Feng; Chang-Hong Wei; Li-Tu Zhang
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

3.  Epidermal Growth Factor Receptor Mutations and Their Prognostic Value with Carcinoembryonic Antigen in Pathological T1 Lung Adenocarcinoma.

Authors:  Wang-Yu Zhu; Hai-Feng Li; Ke-Xin Fang; Bing-Jie Zhang; Shi-Quan Zhou; Yong-Kui Zhang; Han-Bo Le; Xiao-Fei Hu
Journal:  Dis Markers       Date:  2018-04-24       Impact factor: 3.434

4.  Detection of clinically relevant epidermal growth factor receptor pathway mutations in circulating cell-free tumor DNA using next generation sequencing in squamous cell carcinoma lung.

Authors:  Kanakasetty Babu Govind; Deepak Koppaka; Lokanatha Dasappa; Linu Abraham Jacob; Suresh M C Babu; N Kadabur Lokesh; Rudresha Antapura Haleshappa; L K Rajeev; Smitha Carol Saldanha; Anand Abhishek; Vikas Asati; R Chethan; Vedam Laxmi Ramprasad
Journal:  South Asian J Cancer       Date:  2019 Oct-Dec

5.  Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant-Positive Non-Small Cell Lung Cancer.

Authors:  Jiangdian Song; Lu Wang; Nathan Norton Ng; Mingfang Zhao; Jingyun Shi; Ning Wu; Weimin Li; Zaiyi Liu; Kristen W Yeom; Jie Tian
Journal:  JAMA Netw Open       Date:  2020-12-01

6.  A pan-cancer analysis of prognostic genes.

Authors:  Jordan Anaya; Brian Reon; Wei-Min Chen; Stefan Bekiranov; Anindya Dutta
Journal:  PeerJ       Date:  2016-02-16       Impact factor: 2.984

7.  Predictive and prognostic value of preoperative serum tumor markers is EGFR mutation-specific in resectable non-small-cell lung cancer.

Authors:  Richeng Jiang; Xinyue Wang; Kai Li
Journal:  Oncotarget       Date:  2016-05-03

8.  On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue.

Authors:  Arturo López Pineda; Henry Ato Ogoe; Jeya Balaji Balasubramanian; Claudia Rangel Escareño; Shyam Visweswaran; James Gordon Herman; Vanathi Gopalakrishnan
Journal:  BMC Cancer       Date:  2016-03-04       Impact factor: 4.430

9.  EGFR with TKI-sensitive mutations in exon 19 is highly expressed and frequently detected in Chinese patients with lung squamous carcinoma.

Authors:  Aadil Ahmed Memon; Haiping Zhang; Ye Gu; Qian Luo; Jiajun Shi; Zixin Deng; Jian Ma; Wei Ma
Journal:  Onco Targets Ther       Date:  2017-09-18       Impact factor: 4.147

  9 in total

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