Literature DB >> 26366398

MET deregulation in breast cancer.

Gabriele Minuti1, Lorenza Landi1.   

Abstract

BACKGROUND: Mesenchymal-epithelial transition (MET) is an oncogene encoding for a trans-membrane tyrosine kinase receptor activated by the hepatocyte growth factor (HGF). MET has a normal function in organ development during embryogenesis and in tissue homeostasis during adult life. Deregulation of HGF/MET signaling pathway is frequently observed in many cancer types, conferring invasive growth and tendency to progression. MET deregulation is due to gene amplification or increased copy number, gene mutation, receptor over-expression or ligand autocrine loops activation. These events lead to migration, invasion, proliferation, metastatic spread and neo-angiogenesis of cancer cells, suggesting that anti-HGF/MET agents may represent a potential antitumor strategy. In breast cancer (BC), preclinical and clinical data demonstrated the role of HGF/MET signalling pathway in carcinogenesis, disease progression and resistance features.
METHODS: For this review article, all published data on HGF/MET in BC were collected and analyzed.
RESULTS: Several evidences underline that, in early BC, MET over-expression has an independent negative prognostic significance, regardless of method used for evaluation and BC subtypes. Available data suggest that MET is a relevant target particularly in basal-like (BL) and in triple negative BC. Moreover, preclinical and retrospective data support the critical role of MET deregulation in the development of resistance to target-agents, such as anti-HER2 strategies.
CONCLUSIONS: MET is a promising new target in BC. Several anti-MET agents are under investigation and ongoing clinical trials will clarify its relevance in BC treatment.

Entities:  

Keywords:  Mesenchymal-epithelial transition (MET); basal-like (BL); breast cancer (BC); hepatocyte growth factor (HGF); triple negative

Year:  2015        PMID: 26366398      PMCID: PMC4543340          DOI: 10.3978/j.issn.2305-5839.2015.06.22

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  40 in total

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Authors:  E Charafe-Jauffret; C Ginestier; F Monville; P Finetti; J Adélaïde; N Cervera; S Fekairi; L Xerri; J Jacquemier; D Birnbaum; F Bertucci
Journal:  Oncogene       Date:  2006-04-06       Impact factor: 9.867

2.  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

3.  MET as a target in papillary renal cell carcinoma.

Authors:  André P Fay; Sabina Signoretti; Toni K Choueiri
Journal:  Clin Cancer Res       Date:  2014-05-08       Impact factor: 12.531

4.  MET is a potential target for use in combination therapy with EGFR inhibition in triple-negative/basal-like breast cancer.

Authors:  Yu Jin Kim; Jong-Sun Choi; Jinwon Seo; Ji-Young Song; Seung Eun Lee; Mi Jung Kwon; Mi Jeong Kwon; Juthika Kundu; Kyungsoo Jung; Ensel Oh; Young Kee Shin; Yoon-La Choi
Journal:  Int J Cancer       Date:  2014-05-15       Impact factor: 7.396

5.  Tissue microarray analysis of hepatocyte growth factor/Met pathway components reveals a role for Met, matriptase, and hepatocyte growth factor activator inhibitor 1 in the progression of node-negative breast cancer.

Authors:  Jung Y Kang; Marisa Dolled-Filhart; Idris Tolgay Ocal; Baljit Singh; Chen-Yong Lin; Robert B Dickson; David L Rimm; Robert L Camp
Journal:  Cancer Res       Date:  2003-03-01       Impact factor: 12.701

6.  Placental defect and embryonic lethality in mice lacking hepatocyte growth factor/scatter factor.

Authors:  Y Uehara; O Minowa; C Mori; K Shiota; J Kuno; T Noda; N Kitamura
Journal:  Nature       Date:  1995-02-23       Impact factor: 49.962

7.  Immunoreactive hepatocyte growth factor is a strong and independent predictor of recurrence and survival in human breast cancer.

Authors:  J Yamashita; M Ogawa; S Yamashita; K Nomura; M Kuramoto; T Saishoji; S Shin
Journal:  Cancer Res       Date:  1994-04-01       Impact factor: 12.701

8.  Co-expression of MET and CD47 is a novel prognosticator for survival of luminal breast cancer patients.

Authors:  Irène Baccelli; Albrecht Stenzinger; Vanessa Vogel; Berit Maria Pfitzner; Corinna Klein; Markus Wallwiener; Martina Scharpff; Massimo Saini; Tim Holland-Letz; Hans-Peter Sinn; Andreas Schneeweiss; Carsten Denkert; Wilko Weichert; Andreas Trumpp
Journal:  Oncotarget       Date:  2014-09-30

9.  C-Met in invasive breast cancer: is there a relationship with the basal-like subtype?

Authors:  Colan M Ho-Yen; Andrew R Green; Emad A Rakha; Adam R Brentnall; Ian O Ellis; Stephanie Kermorgant; J L Jones
Journal:  Cancer       Date:  2013-10-21       Impact factor: 6.860

10.  High MET expression is an adverse prognostic factor in patients with triple-negative breast cancer.

Authors:  F Zagouri; Z Bago-Horvath; F Rössler; A Brandstetter; R Bartsch; C A Papadimitriou; C Dimitrakakis; A Tsigginou; I Papaspyrou; A Giannos; M-A Dimopoulos; M Filipits
Journal:  Br J Cancer       Date:  2013-02-19       Impact factor: 7.640

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  9 in total

1.  Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks.

Authors:  Ermin Hodzic; Raunak Shrestha; Kaiyuan Zhu; Kuoyuan Cheng; Colin C Collins; S Cenk Sahinalp
Journal:  Gigascience       Date:  2019-04-01       Impact factor: 6.524

2.  Differential recruitment of CD44 isoforms by ErbB ligands reveals an involvement of CD44 in breast cancer.

Authors:  Iris Morath; Christian Jung; Romain Lévêque; Chen Linfeng; Robert-Alain Toillon; Arne Warth; Véronique Orian-Rousseau
Journal:  Oncogene       Date:  2018-01-11       Impact factor: 9.867

3.  Finding prognostic gene pairs for cancer from patient-specific gene networks.

Authors:  Byungkyu Park; Wook Lee; Inhee Park; Kyungsook Han
Journal:  BMC Med Genomics       Date:  2019-12-20       Impact factor: 3.063

4.  Modeling Heterogeneity of Triple-Negative Breast Cancer Uncovers a Novel Combinatorial Treatment Overcoming Primary Drug Resistance.

Authors:  Fabienne Lamballe; Fahmida Ahmad; Yaron Vinik; Olivier Castellanet; Fabrice Daian; Anna-Katharina Müller; Ulrike A Köhler; Anne-Laure Bailly; Emmanuelle Josselin; Rémy Castellano; Christelle Cayrou; Emmanuelle Charafe-Jauffret; Gordon B Mills; Vincent Géli; Jean-Paul Borg; Sima Lev; Flavio Maina
Journal:  Adv Sci (Weinh)       Date:  2020-12-16       Impact factor: 16.806

5.  Intercepting Premalignant, Preinvasive Breast Lesions Through Vaccination.

Authors:  Nadia Nocera Zachariah; Amrita Basu; Namrata Gautam; Ganesan Ramamoorthi; Krithika N Kodumudi; Nagi B Kumar; Loretta Loftus; Brian J Czerniecki
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6.  Sequencing for germline mutations in Swedish breast cancer families reveals novel breast cancer risk genes.

Authors:  Hafdis T Helgadottir; Jessada Thutkawkorapin; Kristina Lagerstedt-Robinson; Annika Lindblom
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Review 7.  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

8.  p53 controls the plasticity of mammary luminal progenitor cells downstream of Met signaling.

Authors:  Aurélie Chiche; Amandine Di-Cicco; Laura Sesma-Sanz; Laura Bresson; Pierre de la Grange; Marina A Glukhova; Marisa M Faraldo; Marie-Ange Deugnier
Journal:  Breast Cancer Res       Date:  2019-01-25       Impact factor: 6.466

9.  Comparative Gene Signature of (-)-Oleocanthal Formulation Treatments in Heterogeneous Triple Negative Breast Tumor Models: Oncological Therapeutic Target Insights.

Authors:  Mohammed H Qusa; Khaldoun S Abdelwahed; Abu Bakar Siddique; Khalid A El Sayed
Journal:  Nutrients       Date:  2021-05-18       Impact factor: 5.717

  9 in total

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