Functional consequence of theMET-T1010I polymorphism in breast cancer
| Autor: | Naoto T. Ueno, Ana M. Gonzalez-Angulo, Agda Karina Eterovic, Napa Parinyanitikul, Wanding Zhou, Powel H. Brown, Lakshmy Nair, Xiaofeng Zheng, Gordon B. Mills, Ken Chen, Shuying Liu, Xiudong Lei, Debu Tripathy, Gabriel N. Hortobagyi, Mihai Gagea, Mariana Chavez-MacGregor, John Mendelsohn, Funda Meric-Bernstam, Bailiang Wang |
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| Rok vydání: | 2014 |
| Předmět: |
Oncology
Pathology Time Factors Mice SCID Kaplan-Meier Estimate Mice Gene Frequency Cell Movement 2.1 Biological and endogenous factors Aetiology Cancer Tumor Single Nucleotide Middle Aged Proto-Oncogene Proteins c-met Prognosis Metastatic breast cancer humanities Tumor Burden Phenotype Malignant transformation Female medicine.medical_specialty Oncology and Carcinogenesis Breast Neoplasms Biology SCID Transfection Polymorphism Single Nucleotide Cell Line Breast cancer Cell Line Tumor Internal medicine Breast Cancer Biomarkers Tumor Genetics medicine Animals Humans Neoplasm Invasiveness Genetic Predisposition to Disease Tumor growth Polymorphism Cell Proliferation Cell invasion Cancer prevention Prevention MET mutations medicine.disease Colony formation Potential biomarkers Biomarkers Priority Research Paper |
| Zdroj: | Oncotarget, vol 6, iss 5 Oncotarget |
| ISSN: | 1949-2553 |
| Popis: | // Shuying Liu 1,2 , Funda Meric-Bernstam 3 , Napa Parinyanitikul 1 , Bailiang Wang 1 , Agda K. Eterovic 2 , Xiaofeng Zheng 4 , Mihai Gagea 5 , Mariana Chavez-MacGregor 1 , Naoto T. Ueno 1,6 , Xiudong Lei 7 , Wanding Zhou 4 , Lakshmy Nair 1 , Debu Tripathy 1 , Powel H. Brown 8 , Gabriel N. Hortobagyi 1 , Ken Chen 4 , John Mendelsohn 9 , Gordon B. Mills 2 and Ana M. Gonzalez-Angulo 1,2 1 Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 2 Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 3 Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 4 Department of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 5 Department of Veterinary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 6 Section of Breast Cancer Translational Research, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 7 Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 8 Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA 9 Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA Correspondence: Shuying Liu, email: // Keywords : MET mutations, Breast Cancer, Malignant transformation Received : September 09, 2014 Accepted : December 24, 2014 Published : December 31, 2014 Abstract Major breast cancer predisposition genes, only account for approximately 30% of high-risk breast cancer families and only explain 15% of breast cancer familial relative risk. The HGF growth factor receptor MET is potentially functionally altered due to an uncommon germline single nucleotide polymorphism (SNP), MET -T1010I, in many cancer lineages including breast cancer where the MET- T1010I SNP is present in 2% of patients with metastatic breast cancer. Expression of MET- T1010I in the context of mammary epithelium increases colony formation, cell migration and invasion in-vitro and tumor growth and invasion in-vivo . A selective effect of MET- T1010I as compared to wild type MET on cell invasion both in-vitro and in-viv o suggests that the MET- T1010I SNP may alter tumor pathophysiology and should be considered as a potential biomarker when implementing MET targeted clinical trials. |
| Databáze: | OpenAIRE |
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