Literature DB >> 29997961

The correlation between crizotinib efficacy and molecular heterogeneity by next-generation sequencing in non-small cell lung cancer.

Tangfeng Lv1,2, Qian Zou1, Zhengbo Song3,4, Hongbing Liu1,2, Qiming Wang5, Yong Song1.   

Abstract

BACKGROUND: Non-small cell lung cancer (NSCLC) patients with EML4-ALK fusion exhibited various durations of response to crizotinib. Molecular heterogeneity is also one of the factors associated with resistance to crizotinib. This study investigated the relevance of molecular heterogeneity to the clinical efficacy of crizotinib using next-generation sequencing (NGS).
METHODS: A total of 52 ALK-positive advanced NSCLC patients were enrolled. The genetic variation was revealed by NGS. We identified different ALK fusion types, allelic fraction (AF) and additional coexisting mutations (ACMs) and evaluated the correlation between the above three factors and clinical response to crizotinib.
RESULTS: Among the group that was detected with ALK+ fusion by immunohistochemistry (IHC), patients detected as ALK- fusion by the NGS method were associated with a shorter progression-free survival (PFS) compared with ALK+ patients by NGS. Moreover, for different ALK fusion types, the median PFS of variant 1/2/3 and other uncommon variants were 305, 557, 242 and 370 days, respectively. Although there was no statistically significant difference (P=0.201), patients with ALK variant 2 appeared to display a longer PFS than other types of variants in this study. There was no significant difference in the relationship between ALK fusion AF and PFS (P=0.639). Additionally, there was no correlation between ACMs and PFS in the three groups (IHC+, IHC+/NGS-, and IHC+/NGS+, P=0.738, 0.801 and 0.550). We analysed the relationship between TP53/FAT3 and PFS in the IHC+/NGS+ group, and there was no statistically significant difference (P=0.712/0.631).
CONCLUSIONS: It is necessary to use multiple methods together to detect ALK fusion, and we can continue to carry out the study of the correlation between the different contents of heterogeneity of gene mutations and TKI effects using the NGS method.

Entities:  

Keywords:  ALK fusion types; ALK-positive non-small cell lung cancer (ALK-positive NSCLC); Next-generation sequencing (NGS); additional coexisting mutations (ACMs); molecular heterogeneity

Year:  2018        PMID: 29997961      PMCID: PMC6006122          DOI: 10.21037/jtd.2018.05.55

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  38 in total

1.  EML4-ALK mutations in lung cancer that confer resistance to ALK inhibitors.

Authors:  Young Lim Choi; Manabu Soda; Yoshihiro Yamashita; Toshihide Ueno; Junpei Takashima; Takahiro Nakajima; Yasushi Yatabe; Kengo Takeuchi; Toru Hamada; Hidenori Haruta; Yuichi Ishikawa; Hideki Kimura; Tetsuya Mitsudomi; Yoshiro Tanio; Hiroyuki Mano
Journal:  N Engl J Med       Date:  2010-10-28       Impact factor: 91.245

2.  Differential Crizotinib Response Duration Among ALK Fusion Variants in ALK-Positive Non-Small-Cell Lung Cancer.

Authors:  Tatsuya Yoshida; Yuko Oya; Kosuke Tanaka; Junichi Shimizu; Yoshitsugu Horio; Hiroaki Kuroda; Yukinori Sakao; Toyoaki Hida; Yasushi Yatabe
Journal:  J Clin Oncol       Date:  2016-06-27       Impact factor: 44.544

3.  First-line crizotinib versus chemotherapy in ALK-positive lung cancer.

Authors:  Benjamin J Solomon; Tony Mok; Dong-Wan Kim; Yi-Long Wu; Kazuhiko Nakagawa; Tarek Mekhail; Enriqueta Felip; Federico Cappuzzo; Jolanda Paolini; Tiziana Usari; Shrividya Iyer; Arlene Reisman; Keith D Wilner; Jennifer Tursi; Fiona Blackhall
Journal:  N Engl J Med       Date:  2014-12-04       Impact factor: 91.245

Review 4.  Management of Resistance to Crizotinib in Anaplastic Lymphoma Kinase-Positive Non-Small-cell Lung Cancer.

Authors:  Alexios Matikas; Nikolaos Kentepozidis; Vassilis Georgoulias; Athanasios Kotsakis
Journal:  Clin Lung Cancer       Date:  2016-06-02       Impact factor: 4.785

5.  Comparison of epidermal growth factor receptor mutations between primary and corresponding metastatic tumors in tyrosine kinase inhibitor-naive non-small-cell lung cancer.

Authors:  C-H Gow; Y-L Chang; Y-C Hsu; M-F Tsai; C-T Wu; C-J Yu; C-H Yang; Y-C Lee; P-C Yang; J-Y Shih
Journal:  Ann Oncol       Date:  2008-12-16       Impact factor: 32.976

6.  Differential protein stability and ALK inhibitor sensitivity of EML4-ALK fusion variants.

Authors:  Johannes M Heuckmann; Hyatt Balke-Want; Florian Malchers; Martin Peifer; Martin L Sos; Mirjam Koker; Lydia Meder; Christine M Lovly; Lukas C Heukamp; William Pao; Ralf Küppers; Roman K Thomas
Journal:  Clin Cancer Res       Date:  2012-08-21       Impact factor: 12.531

Review 7.  Crizotinib for the treatment of ALK-rearranged non-small cell lung cancer: a success story to usher in the second decade of molecular targeted therapy in oncology.

Authors:  Sai-Hong Ignatius Ou; Cynthia Huang Bartlett; Mari Mino-Kenudson; Jean Cui; A John Iafrate
Journal:  Oncologist       Date:  2012-09-18

8.  Deep Sequencing Reveals Occurrence of Subclonal ALK Mutations in Neuroblastoma at Diagnosis.

Authors:  Angela Bellini; Virginie Bernard; Quentin Leroy; Thomas Rio Frio; Gaelle Pierron; Valérie Combaret; Eve Lapouble; Nathalie Clement; Herve Rubie; Estelle Thebaud; Pascal Chastagner; Anne Sophie Defachelles; Christophe Bergeron; Nimrod Buchbinder; Sophie Taque; Anne Auvrignon; Dominique Valteau-Couanet; Jean Michon; Isabelle Janoueix-Lerosey; Olivier Delattre; Gudrun Schleiermacher
Journal:  Clin Cancer Res       Date:  2015-06-09       Impact factor: 12.531

9.  A mouse model for EML4-ALK-positive lung cancer.

Authors:  Manabu Soda; Shuji Takada; Kengo Takeuchi; Young Lim Choi; Munehiro Enomoto; Toshihide Ueno; Hidenori Haruta; Toru Hamada; Yoshihiro Yamashita; Yuichi Ishikawa; Yukihiko Sugiyama; Hiroyuki Mano
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-08       Impact factor: 11.205

10.  SNPs in the TGF-β signaling pathway are associated with increased risk of brain metastasis in patients with non-small-cell lung cancer.

Authors:  Qianxia Li; Huanlei Wu; Bei Chen; Guangyuan Hu; Liu Huang; Kai Qin; Yu Chen; Xianglin Yuan; Zhongxing Liao
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

View more
  1 in total

1.  Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis.

Authors:  Cai-Yun He; Miao-Zhen Qiu; Xin-Hua Yang; Da-Lei Zhou; Jiang-Jun Ma; Ya-Kang Long; Zu-Lu Ye; Bo-Heng Xu; Qi Zhao; Ying Jin; Shi-Xun Lu; Zhi-Qiang Wang; Wen-Long Guan; Bai-Wei Zhao; Zhi-Wei Zhou; Jian-Yong Shao; Rui-Hua Xu
Journal:  Clin Transl Med       Date:  2020-01
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.