Literature DB >> 25868725

HGF-MET as a breast cancer biomarker.

Shuying Liu1.   

Abstract

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Year:  2015        PMID: 25868725      PMCID: PMC4394726          DOI: 10.18632/aging.100735

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


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Although targeting MET has yielded promising results in preclinical studies, few clinical trials of MET inhibitors have demonstrated the expected therapeutic benefits. This inconsistency raises the possibilities that there are different subsets of MET/HGF-aberrant breast cancer with different responses to MET/HGF-targeted therapies and that MET inhibitors benefit only a particular subgroup of patients. To fully realize the benefits of MET inhibitors, we must clarify the patient population that will benefit from them. Therefore, it is crucial to identify biomarkers that will optimize the use of MET inhibitors in individual breast cancer patients. MET aberrations. MET overexpression with or without amplification has been reported in many cancers [1]. MET protein expression and its phosphorylation were aberrantly upregulated in around 70% and 48% breast cancers, respectively, which independently predict poor outcome [2]. The MET signaling also can be aberrantly activated as a consequence of MET mutation or functional single nucleotide polymorphisms (SNPs). Several MET gene mutations have been reported in various cancers, but oncogenic MET mutations occur spontaneously in only 2-3% [1]. Mutation in the tyrosine kinase domain renders the enzyme constitutively active, while mutation in the juxtamembrane domain reduces MET degradation. MET sequence changes occur in 9% of patients with breast cancer. However, these appear to represent SNPs rather than somatic mutations. The sequence changes were associated with higher metastatic burden and high-grade histology [3]. A recent study demonstrated that MET is functionally altered by an uncommon germline SNP, MET-T1010I, which is present twice as frequently in patients with metastatic breast cancer as in the general population. MET-T1010I transforms mammary epithelial cells and drives tumor formation and invasion in human HGF transgenic mice [4], suggesting that it potentially alters tumor pathophysiology and response to MET-targeted therapies. Therefore, MET-T1010I should be considered a potential biomarker when implementing clinical trials of MET-targeted agents. Hepatocyte growth factor (HGF)/scatter factor upregulation. Not only the MET receptor but also its ligand HGF drives tumor formation, metastasis, and drug resistance [1]. We recently established a mouse model system in which the host mice express human HGF at varying levels and the xenografts express human MET receptor of varying status. The models faithfully mimic patients with different HGF levels and different MET receptor status in their breast cancer. Using this model, we found that MCF-10A cells transformed with aberrant MET formed tumors in the mice with transgenic human HGF but not in the negative litters. Comparing mutant MET, wild type MET is more stringently dependent on its natural ligand HGF. These data suggest that not only MET status affects cell behavior but also level of its ligand HGF in the tumor microenvironment plays a key role in determining the functional outcomes of MET aberrations. Indeed, overexpression of HGF has been demonstrated in breast cancer, and HGF levels are increased in the serum of patients with breast cancer. Both primary and metastatic tumor cells (autocrine mechanism) and stromal cells (paracrine mechanism) secrete high levels of HGF and aberrantly induce ligand-dependent MET signaling. High HGF level correlates with poor prognosis in breast cancer [1]. Hypoxic conditions stimulate production of both MET receptor and HGF, rendering tumor cells more sensitive to HGF stimulation in the invasion process [5]. Therefore, HGF level also should be considered a potential biomarker when testing MET-targeted agents. Crosstalk between MET and other pathways. Accumulating evidence suggests that MET plays a key role in resistance to targeted therapies for cancer through crosstalk between MET and other pathways, such as the EGFR family [6]. Inhibition of either MET or EGFR was insufficient to fully block signaling in gefitinib-resistant cell lines, whereas the combination completely inhibited signaling. Indeed, combined targeting of MET with onartuzumab and EGFR with erlotinib in a clinical trial prolonged progression-free survival and overall survival in patients with lung cancer expressing high levels of MET [7]. However, the mechanisms of acquired resistance to MET inhibition remain little known. Crosstalk with other oncogenic pathways might induce acquired resistance to MET inhibition. We demonstrated that concurrent aberration of MET and PIK3CA greatly increased in breast cancer. Our unpublished data show that concurrent aberration of MET and PI3K significantly increased cell proliferation and invasion in vitro and in mice with similar human HGF levels. Targeting both MET and PI3K yielded greater inhibitory efficacy than targeting either agent alone, suggesting that response to MET-targeted therapy in breast cancer is dependent on an aberrant MET-HGF/PI3K axis. Taken together, these findings indicate that, to optimize the use of therapies targeting MET signaling and improve treatment efficacy in individual breast cancer patients, MET status, HGF level, and activation of the MET-HGF/PI3K and EGFR-MET axes should be considered as potential biomarkers when implementing clinical trials of MET-targeted agents.
  7 in total

1.  cMET and phospho-cMET protein levels in breast cancers and survival outcomes.

Authors:  Kanwal P Raghav; Wenting Wang; Shuying Liu; Mariana Chavez-MacGregor; Xiaolong Meng; Gabriel N Hortobagyi; Gordon B Mills; Funda Meric-Bernstam; George R Blumenschein; Ana M Gonzalez-Angulo
Journal:  Clin Cancer Res       Date:  2012-02-28       Impact factor: 12.531

2.  Analysis of MET genetic aberrations in patients with breast cancer at MD Anderson Phase I unit.

Authors:  Debora de Melo Gagliato; Denis L Fontes Jardim; Gerald Falchook; Chad Tang; Ralph Zinner; Jennifer J Wheler; Filip Janku; Vivek Subbiah; Sarina A Piha-Paul; Siqing Fu; Kenneth Hess; Sinchita Roy-Chowdhuri; Stacy Moulder; Ana M Gonzalez-Angulo; Funda Meric-Bernstam; David S Hong
Journal:  Clin Breast Cancer       Date:  2014-06-23       Impact factor: 3.225

3.  c-MET as a potential therapeutic target and biomarker in cancer.

Authors:  J Rafael Sierra; Ming-Sound Tsao
Journal:  Ther Adv Med Oncol       Date:  2011-11       Impact factor: 8.168

4.  Hypoxia promotes invasive growth by transcriptional activation of the met protooncogene.

Authors:  Selma Pennacchietti; Paolo Michieli; Maria Galluzzo; Massimiliano Mazzone; Silvia Giordano; Paolo M Comoglio
Journal:  Cancer Cell       Date:  2003-04       Impact factor: 31.743

5.  Randomized phase II trial of Onartuzumab in combination with erlotinib in patients with advanced non-small-cell lung cancer.

Authors:  David R Spigel; Thomas J Ervin; Rodryg A Ramlau; Davey B Daniel; Jerome H Goldschmidt; George R Blumenschein; Maciej J Krzakowski; Gilles Robinet; Benoit Godbert; Fabrice Barlesi; Ramaswamy Govindan; Taral Patel; Sergey V Orlov; Michael S Wertheim; Wei Yu; Jiping Zha; Robert L Yauch; Premal H Patel; See-Chun Phan; Amy C Peterson
Journal:  J Clin Oncol       Date:  2013-10-07       Impact factor: 44.544

6.  Signaling networks assembled by oncogenic EGFR and c-Met.

Authors:  Ailan Guo; Judit Villén; Jon Kornhauser; Kimberly A Lee; Matthew P Stokes; Klarisa Rikova; Anthony Possemato; Julie Nardone; Gregory Innocenti; Randall Wetzel; Yi Wang; Joan MacNeill; Jeffrey Mitchell; Steven P Gygi; John Rush; Roberto D Polakiewicz; Michael J Comb
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-07       Impact factor: 11.205

7.  Functional consequence of the MET-T1010I polymorphism in breast cancer.

Authors:  Shuying Liu; Funda Meric-Bernstam; Napa Parinyanitikul; Bailiang Wang; Agda K Eterovic; Xiaofeng Zheng; Mihai Gagea; Mariana Chavez-MacGregor; Naoto T Ueno; Xiudong Lei; Wanding Zhou; Lakshmy Nair; Debu Tripathy; Powel H Brown; Gabriel N Hortobagyi; Ken Chen; John Mendelsohn; Gordon B Mills; Ana M Gonzalez-Angulo
Journal:  Oncotarget       Date:  2015-02-20
  7 in total
  7 in total

Review 1.  Therapeutic Strategies for Ovarian Cancer in Point of HGF/c-MET Targeting.

Authors:  Hyun Jung Kim
Journal:  Medicina (Kaunas)       Date:  2022-05-11       Impact factor: 2.948

2.  BATF2 in human colorectal cancer.

Authors:  Zebing Liu; Yu Yang; Xiaoyan Zhou
Journal:  Aging (Albany NY)       Date:  2015-05       Impact factor: 5.682

3.  Serum level of hepatocyte growth factor is a novel marker of predicting the outcome and resistance to the treatment with trastuzumab in HER2-positive patients with metastatic gastric cancer.

Authors:  Naoki Takahashi; Koh Furuta; Hirokazu Taniguchi; Yusuke Sasaki; Hirokazu Shoji; Yoshitaka Honma; Satoru Iwasa; Natsuko Okita; Atsuo Takashima; Ken Kato; Tetsuya Hamaguchi; Yasuhiro Shimada; Yasuhide Yamada
Journal:  Oncotarget       Date:  2016-01-26

4.  cMET inhibitor crizotinib impairs angiogenesis and reduces tumor burden in the C3(1)-Tag model of basal-like breast cancer.

Authors:  Alyssa J Cozzo; Sneha Sundaram; Ottavia Zattra; Yuanyuan Qin; Alex J Freemerman; Luma Essaid; David B Darr; Stephanie A Montgomery; Kirk K McNaughton; J Ashley Ezzell; Joseph A Galanko; Melissa A Troester; Liza Makowski
Journal:  Springerplus       Date:  2016-03-19

5.  Comprehensive Analysis of the Expression and Prognostic Value of SPINT1/2 in Breast Carcinoma.

Authors:  Qiulin Wu; Guobing Yin; Jing Luo; Yingzi Zhang; Tiantian Ai; Jiao Tian; Yudi Jin; Jinwei Lei; Shengchun Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-07-26       Impact factor: 5.555

Review 6.  Mesenchymal Stromal Cells: Emerging Roles in Bone Metastasis.

Authors:  Nicola Graham; Bin-Zhi Qian
Journal:  Int J Mol Sci       Date:  2018-04-09       Impact factor: 5.923

Review 7.  Extracellular Matrix Influencing HGF/c-MET Signaling Pathway: Impact on Cancer Progression.

Authors:  Heydi Noriega-Guerra; Vanessa Morais Freitas
Journal:  Int J Mol Sci       Date:  2018-10-24       Impact factor: 5.923

  7 in total

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