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Updated: Feb 13, 2026

Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies
Published on: November 30, 2016
MET amplification assessed using optimized FISH reporting criteria predicts early distant metastasis in patients with
Lianghua Fang1,2, Hui Chen3, Zhenya Tang1
1Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Abstract:
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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