Literature DB >> 19430813

Epidermal growth factor receptor genomic variation in NSCLC patients receiving tyrosine kinase inhibitor therapy: a systematic review and meta-analysis.

Josh John Carlson1, Louis P Garrison, Scott D Ramsey, David L Veenstra.   

Abstract

INTRODUCTION: The objective of this analysis was to examine the relationship between genomic variation and health outcomes in studies performed in non-small cell lung cancer (NSCLC) patients treated with single agent epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) using a systematic review with statistical pooling of data.
METHODS: We performed a systematic search of the literature using the MEDLINE, BIOSIS, and EMABASE databases from July 1997 to July 2007. Eligible studies were evaluated for quality and clinical, methodological, and statistical heterogeneity. Abstracted data judged to be sufficiently homogenous were pooled using a fixed effect model.
RESULTS: We found a statistically significant higher probability of tumor response (according to the RECIST criteria) for patients with EGFR mutations versus wild type (5.92, 95% CI 4.91-7.13) and patients with high- versus low EGFR protein expression (2.71, 95% CI 1.72-4.29). EGFR mutation and high EGFR protein expression were associated with significantly improved survival over the wild type and low protein expression groups (0.36, 95% CI 0.29-0.46 and 0.59, 95% CI 0.44-0.81), respectively. Last, there was a significant difference in EGFR-TKI treatment effect in the high EGFR gene copy number and high EGFR protein expression groups (0.72, 95% CI 0.57-0.92 and 0.53, 95% CI 0.35-0.80).
CONCLUSION: In conclusion, EGFR mutation and protein expression status may provide useful clinical information in terms of the likelihood of tumor response and disease prognosis. EGFR gene copy number and to a lesser extent, EGFR protein expression status, appear to be promising biomarkers for predicting a survival benefit with EGFR-TKI therapy in second line NSCLC, but further evidence is needed.

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Year:  2009        PMID: 19430813     DOI: 10.1007/s00432-009-0595-3

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  51 in total

1.  Selecting patients for epidermal growth factor receptor inhibitor treatment: A FISH story or a tale of mutations?

Authors:  Bruce E Johnson; Pasi A Jänne
Journal:  J Clin Oncol       Date:  2005-09-06       Impact factor: 44.544

2.  Epidermal growth factor receptor mutations and their correlation with gefitinib therapy in patients with non-small cell lung cancer: a meta-analysis based on updated individual patient data from six medical centers in mainland China.

Authors:  Yi-Long Wu; Wen-Zhao Zhong; Long-Yun Li; Xiao-Tong Zhang; Li Zhang; Cai-Cun Zhou; Wei Liu; Bin Jiang; Xin-Lin Mu; Jia-Ying Lin; Qing Zhou; Chong-Rui Xu; Zhen Wang; Guo-Chun Zhang; Tony Mok
Journal:  J Thorac Oncol       Date:  2007-05       Impact factor: 15.609

3.  Erlotinib in previously treated non-small-cell lung cancer.

Authors:  Frances A Shepherd; José Rodrigues Pereira; Tudor Ciuleanu; Eng Huat Tan; Vera Hirsh; Sumitra Thongprasert; Daniel Campos; Savitree Maoleekoonpiroj; Michael Smylie; Renato Martins; Maximiliano van Kooten; Mircea Dediu; Brian Findlay; Dongsheng Tu; Dianne Johnston; Andrea Bezjak; Gary Clark; Pedro Santabárbara; Lesley Seymour
Journal:  N Engl J Med       Date:  2005-07-14       Impact factor: 91.245

4.  Predictors of the response to gefitinib in refractory non-small cell lung cancer.

Authors:  Kyu-Sik Kim; Ju-Yeon Jeong; Young-Chul Kim; Kook-Joo Na; Yun-Hyeon Kim; Sung-Ja Ahn; Sun-Mi Baek; Chang-Soo Park; Chang-Min Park; Yu-Il Kim; Sung-Chul Lim; Kyung-Ok Park
Journal:  Clin Cancer Res       Date:  2005-03-15       Impact factor: 12.531

5.  Comparative analysis of epidermal growth factor receptor mutations and gene amplification as predictors of gefitinib efficacy in Japanese patients with nonsmall cell lung cancer.

Authors:  Takashi Sone; Kazuo Kasahara; Hideharu Kimura; Kazuto Nishio; Masayuki Mizuguchi; Yasuto Nakatsumi; Kazuhiko Shibata; Yuko Waseda; Masaki Fujimura; Shinji Nakao
Journal:  Cancer       Date:  2007-05-01       Impact factor: 6.860

Review 6.  Biomarkers of response to epidermal growth factor receptor inhibitors in Non-Small-Cell Lung Cancer Working Group: standardization for use in the clinical trial setting.

Authors:  David A Eberhard; Giuseppe Giaccone; Bruce E Johnson
Journal:  J Clin Oncol       Date:  2008-02-20       Impact factor: 44.544

7.  Response to treatment and survival of patients with non-small cell lung cancer undergoing somatic EGFR mutation testing.

Authors:  Lecia V Sequist; Victoria A Joshi; Pasi A Jänne; Alona Muzikansky; Panos Fidias; Matthew Meyerson; Daniel A Haber; Raju Kucherlapati; Bruce E Johnson; Thomas J Lynch
Journal:  Oncologist       Date:  2007-01

8.  Clinical course of patients with non-small cell lung cancer and epidermal growth factor receptor exon 19 and exon 21 mutations treated with gefitinib or erlotinib.

Authors:  Gregory J Riely; William Pao; Duykhanh Pham; Allan R Li; Naiyer Rizvi; Ennapadam S Venkatraman; Maureen F Zakowski; Mark G Kris; Marc Ladanyi; Vincent A Miller
Journal:  Clin Cancer Res       Date:  2006-02-01       Impact factor: 12.531

9.  Predictive factors associated with prolonged survival in patients with advanced non-small-cell lung cancer (NSCLC) treated with gefitinib.

Authors:  M Satouchi; S Negoro; Y Funada; Y Urata; T Shimada; S Yoshimura; Y Kotani; T Sakuma; H Watanabe; S Adachi; Y Takada; Y Yatabe; T Mitsudomi
Journal:  Br J Cancer       Date:  2007-03-27       Impact factor: 7.640

10.  Novel heteroduplex method using small cytology specimens with a remarkably high success rate for analysing EGFR gene mutations with a significant correlation to gefitinib efficacy in non-small-cell lung cancer.

Authors:  F Oshita; S Matsukuma; M Yoshihara; Y Sakuma; N Ohgane; Y Kameda; H Saito; K Yamada; E Tsuchiya; Y Miyagi
Journal:  Br J Cancer       Date:  2006-10-23       Impact factor: 7.640

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  6 in total

1.  A phase II study of gefitinib for aggressive cutaneous squamous cell carcinoma of the head and neck.

Authors:  Carol M Lewis; Bonnie S Glisson; Lei Feng; Fiona Wan; Ximing Tang; Ignacio I Wistuba; Adel K El-Naggar; David I Rosenthal; Mark S Chambers; Robert A Lustig; Randal S Weber
Journal:  Clin Cancer Res       Date:  2012-01-18       Impact factor: 12.531

Review 2.  Prognostic role of ERCC1 in advanced non-small-cell lung cancer: a systematic review and meta-analysis.

Authors:  Joshua A Roth; Josh J Carlson
Journal:  Clin Lung Cancer       Date:  2011-07-01       Impact factor: 4.785

Review 3.  Clinical meta-analyses of targeted therapies in adenocarcinoma.

Authors:  Emilio Bria; Maria Bonomi; Sara Pilotto; Francesco Massari; Silvia Novello; Matteo Giaj Levra; Giampaolo Tortora; Giorgio Scagliotti
Journal:  Target Oncol       Date:  2013-01-25       Impact factor: 4.493

4.  Cost-effectiveness analysis of EGFR mutation testing in patients with non-small cell lung cancer (NSCLC) with gefitinib or carboplatin-paclitaxel.

Authors:  Oscar Arrieta; Pablo Anaya; Vicente Morales-Oyarvide; Laura Alejandra Ramírez-Tirado; Ana C Polanco
Journal:  Eur J Health Econ       Date:  2015-09-04

Review 5.  Surveillance of resected non-small cell lung cancer.

Authors:  A López-González; P Ibeas Millán; B Cantos; M Provencio
Journal:  Clin Transl Oncol       Date:  2012-07-21       Impact factor: 3.405

6.  Melittin suppresses growth and induces apoptosis of non-small-cell lung cancer cells via down-regulation of TGF-β-mediated ERK signal pathway.

Authors:  Renzhi Yu; Miao Wang; Minghuan Wang; Lei Han
Journal:  Braz J Med Biol Res       Date:  2020-12-18       Impact factor: 2.590

  6 in total

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