Literature DB >> 16818687

Detection of epidermal growth factor receptor mutations in serum as a predictor of the response to gefitinib in patients with non-small-cell lung cancer.

Hideharu Kimura1, Kazuo Kasahara, Makoto Kawaishi, Hideo Kunitoh, Tomohide Tamura, Brian Holloway, Kazuto Nishio.   

Abstract

Cases of non-small-cell lung cancer (NSCLC) carrying the somatic mutation of epidermal growth factor receptor (EGFR) have been shown to be hyperresponsive to the EGFR tyrosine kinase inhibitor gefitinib (IRESSA). If EGFR mutations can be observed in serum DNA, this could serve as a noninvasive source of information on the genotype of the original tumor cells that could influence treatment and the ability to predict patient response to gefitinib. Serum genomic DNA was obtained from Japanese patients with NSCLC before first-line gefitinib monotherapy. Scorpion Amplified Refractory Mutation System technology was used to detect EGFR mutations. Wild-type EGFR was detected in all of the 27 serum samples. EGFR mutations were detected in 13 of 27 (48.1%) patients and two major EGFR mutations were identified (E746_A750del and L858R). The EGFR mutations were seen significantly more frequently in patients with a partial response than in patients with stable disease or progressive disease (P = 0.046, Fisher's exact test). The median progression-free survival was significantly longer in patients with EGFR mutations than in patients without EGFR mutations (200 versus 46 days; P = 0.005, log-rank test). The median survival was 611 days in patients with EGFR mutations and 232 days in patients without EGFR mutations (P > 0.05). In pairs of tumor and serum samples obtained from 11 patients, the EGFR mutation status in the tumors was consistent with those in the serum of 8 of 11 (72.7%) of the paired samples. Thus, EGFR mutations were detectable using Scorpion Amplified Refractory Mutation System technology in serum DNA from patients with NSCLC. These results suggest that patients with EGFR mutations seem to have better outcomes with gefitinib treatment, in terms of progression-free survival, overall survival, and response, than those patients without EGFR mutations.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16818687     DOI: 10.1158/1078-0432.CCR-05-2324

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  117 in total

1.  The status of WIF1 methylation in cell-free DNA is associated with the insusceptibility for gefitinib in the treatment of lung cancer.

Authors:  Zhijun Shen; Chen Chen; Jianhai Sun; Jingsong Huang; Shiguo Liu
Journal:  J Cancer Res Clin Oncol       Date:  2021-05-26       Impact factor: 4.553

2.  ARMS for EGFR mutation analysis of cytologic and corresponding lung adenocarcinoma histologic specimens.

Authors:  Jinguo Liu; Ruiying Zhao; Jie Zhang; Jian Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2014-08-26       Impact factor: 4.553

3.  Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies.

Authors:  Sousuke Nakamura; Kazuaki Yokoyama; Nozomi Yusa; Miho Ogawa; Tomomi Takei; Asako Kobayashi; Mika Ito; Eigo Shimizu; Rika Kasajima; Yuka Wada; Rui Yamaguchi; Seiya Imoto; Tokiko Nagamura-Inoue; Satoru Miyano; Arinobu Tojo
Journal:  Int J Hematol       Date:  2018-06-29       Impact factor: 2.490

4.  Clinical impact of predicting CCND1 amplification using plasma DNA in superficial esophageal squamous cell carcinoma.

Authors:  Shuhei Komatsu; Daisuke Ichikawa; Shoji Hirajima; Hiroki Takeshita; Atsushi Shiozaki; Hitoshi Fujiwara; Tsutomu Kawaguchi; Mahito Miyamae; Hirotaka Konishi; Takeshi Kubota; Kazuma Okamoto; Nobuaki Yagi; Eigo Otsuji
Journal:  Dig Dis Sci       Date:  2014-01-24       Impact factor: 3.199

5.  Monitoring of carcinoembryonic antigen levels is predictive of EGFR mutations and efficacy of EGFR-TKI in patients with lung adenocarcinoma.

Authors:  Yanwei Zhang; Bo Jin; Minhua Shao; Yu Dong; Yuqing Lou; Aimi Huang; Baohui Han
Journal:  Tumour Biol       Date:  2014-01-24

6.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

Authors:  Dongwei Gao; Sha Li
Journal:  Cancer Microenviron       Date:  2013-11-10

7.  Clinical investigation of EGFR mutation detection by pyrosequencing in lung cancer patients.

Authors:  Hee Joung Kim; Seo Young Oh; Wan Seop Kim; Sun Jong Kim; Gwang Ha Yoo; Won Dong Kim; Kye Young Lee
Journal:  Oncol Lett       Date:  2012-10-01       Impact factor: 2.967

8.  Prediction of CCND1 amplification using plasma DNA as a prognostic marker in oesophageal squamous cell carcinoma.

Authors:  H Takeshita; D Ichikawa; S Komatsu; M Tsujiura; T Kosuga; K Deguchi; H Konishi; R Morimura; A Shiozaki; H Fujiwara; K Okamoto; E Otsuji
Journal:  Br J Cancer       Date:  2010-04-13       Impact factor: 7.640

9.  Detection of BRAF mutations in the tumour and serum of patients enrolled in the AZD6244 (ARRY-142886) advanced melanoma phase II study.

Authors:  R E Board; G Ellison; M C M Orr; K R Kemsley; G McWalter; L Y Blockley; S P Dearden; C Morris; M Ranson; M V Cantarini; C Dive; A Hughes
Journal:  Br J Cancer       Date:  2009-10-27       Impact factor: 7.640

10.  Limited copy number-high resolution melting (LCN-HRM) enables the detection and identification by sequencing of low level mutations in cancer biopsies.

Authors:  Hongdo Do; Alexander Dobrovic
Journal:  Mol Cancer       Date:  2009-10-08       Impact factor: 27.401

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.