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MET amplification assessed using optimized FISH reporting criteria predicts early distant metastasis in patients with non-small cell lung cancer.
Fang, Lianghua; Chen, Hui; Tang, Zhenya; Kalhor, Neda; Liu, Ching-Hua; Yao, Hui; Hu, Shimin; Lin, Pei; Zhao, Jin; Luthra, Raja; Singh, Rajesh R; Routbort, Mark J; Hong, David; Medeiros, L Jeffrey; Lu, Xinyan.
Afiliação
  • Fang L; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chen H; Department of Oncology, Jiangsu Province Hospital of Traditional Chinese Medicine, Nanjing, Jiangsu, China.
  • Tang Z; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Kalhor N; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Liu CH; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Yao H; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hu S; Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Lin P; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zhao J; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Luthra R; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Singh RR; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Routbort MJ; Department of Clinical Laboratory, Hunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
  • Hong D; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Medeiros LJ; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Lu X; Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Oncotarget ; 9(16): 12959-12970, 2018 Feb 27.
Article em En | MEDLINE | ID: mdl-29560123
To investigate the prognostic impact of MET copy number (MET-CN) in patients with non-small cell lung cancer (NSCLC), we retrospectively reviewed clinical and pathologic data of NSCLC patients whose tumors were assessed for MET-CN using fluorescence in situ hybridization (FISH). We correlated MET-CN status with patient overall survival (OS) and optimized MET-FISH reporting criteria. The study group included 384 patients with NSCLC of which 88% were adenocarcinoma and 55.7% of patients had distant metastases. There were 170 patients with stages I-III and 214 patients with stage IV disease. Based on the MET-CN and MET/CEP7 ratio the patients were classified into 3 categories: MET-amplification (METamp): MET/CEP7 ≥ 2 or MET-CN ≥ 5; MET-CN-gain (METcng): MET-CN ≥ 4 to < 5; and MET-negative (METneg): MET-CN < 4. METamp was associated with high fatality (P=.036) and stage IV tumors (P=.038). In patients with stages I-III NSCLC, patients in the METamp category had the shortest OS (P=.015) and more often developed distant metastases within 1 year (P=.004). In patients with stage IV tumors, METamp did not further impact the OS. Patients in the METcng category had the longest OS (P=.053). Multivariate analysis confirmed METamp to be an independent high-risk factor (HR 3.26; P=.026) and predicted earlier progression to distant metastasis (HR 4.86; P=.001). In conclusion, we suggest that the MET-FISH criteria presented optimizes risk stratification by defining 3 categories of NSCLC patients. METamp is an independent risk factor predicting early distant metastasis and patients with METcng could represent a lower-risk group.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article