Literature DB >> 23674084

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

C Ho-Yen, R L Bowen, S Kermorgant, J L Jones.   

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Year:  2013        PMID: 23674084      PMCID: PMC3670484          DOI: 10.1038/bjc.2013.249

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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Sir, In their recent article, Zagouri show that high c-Met expression is associated with a worse outcome in triple-negative (TN) breast cancer, however the authors state that they ‘did not include further markers such as basal cytokeratins and/or EGFR that may identify a group of tumours that have a distinct adverse prognosis'. This is a surprising omission, as data from several studies indicate that TN tumours that express basal markers are distinct from those that do not, and that these ‘Core Basal' tumours have a worse outcome (Blows ). Whether c-Met contributes to this poorer prognosis would therefore appear to be an important question to address. In our own immunohistochemical (IHC) analysis, we identified 38 TN tumours from a cohort of 182 patients with invasive breast cancer. We divided the TN group into ‘Core Basal' (CB, n=31) and basal marker negative (referred to as ‘Unclassified' (U), n=7) using a panel of antibodies to basal markers (Rakha ; Blows ): CK5/6, CK14, CK17 and EGFR (with a cut-off of 10% tumour reactivity to denote positivity). Positivity for any of the basal markers placed the tumour in the CB group. The sections were stained for c-Met (CVD13, Invitrogen) and the staining was scored semi-quantitatively (0–3 for intensity and 0-4 for area of tumour reactivity to give a sum score of 0–7). Both the cytoplasmic and membranous scores were combined to give a total c-Met score between 0 and 14. Analysing c-Met expression as a continuous variable (Figure 1), CB tumours had a significantly higher median total c-Met score of 8.4 (interquartile range (IQR)=7.0-10.3) compared with 6.0 (IQR=5.7-7.0) for U tumours (Mann–Whitney test, P=0.008). By comparison, it is very possible that the high c-Met expressing tumours in the study by Zagouri were predominantly CB tumours, and this raises the possibility that patients with CB tumours may derive more benefit from anti-c-Met therapy.
Figure 1

Box plot showing total c-Met scores for the Core Basal and Unclassified groups of TN tumours. The whiskers represent the minimum and maximum values (Mann–Whitney test, P=0.008).

Knowledge of EGFR status may be of further clinical relevance. There is growing evidence that c-Met and EGFR can crosstalk in a variety of cancers (Lai ). Amplification of the MET gene has been described in Gefitinib/Erlotinib-resistant non-small-cell lung cancer (NSCLC) cell lines, leading to persistent signalling via the PI3K pathway (Bean ; Engelman ). Moreover, treatment with a combination of a c-Met tyrosine kinase inhibitor (PHA-665752) and Gefitinib resulted in reduced PI3K/AKT signalling and growth inhibition in Gefitinib-resistant NSCLC cells (Engelman ). Similarly, in the presence of Gefitinib, EGFR phosphorylation in the breast cancer cell line SUM229 has been shown to be mediated by a c-Met/c-Src-dependant pathway (Mueller ). These studies suggest that c-Met and EGFR have a compensatory relationship, whereby inhibition of one receptor tyrosine kinase (RTK) may result in the activation of the other, thus maintaining downstream signalling (Lai ). In our own analysis, we found a positive correlation between c-Met and EGFR expression (Spearman's correlation coefficient=0.290, P<0.001), indicating that compensation may be possible in these tumours. While several of the c-Met kinase inhibitors currently in clinical trials have activity against multiple RTKs, it would seem appropriate to consider EGFR expression (and other RTKs) when investigating the clinical significance of c-Met; these data would be of clear benefit in clinical trial design and patient selection. In summary, the study by Zagouri provides further evidence of the involvement of c-Met in breast cancer progression, but the clinical impact of the study would have been enhanced by addressing the expression of basal markers, including EGFR, and this further supports the recognition of CB tumours as a distinct subset of TN cancers.
  7 in total

1.  Met and c-Src cooperate to compensate for loss of epidermal growth factor receptor kinase activity in breast cancer cells.

Authors:  Kelly L Mueller; Lauren A Hunter; Stephen P Ethier; Julie L Boerner
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

2.  Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies.

Authors:  Fiona M Blows; Kristy E Driver; Marjanka K Schmidt; Annegien Broeks; Flora E van Leeuwen; Jelle Wesseling; Maggie C Cheang; Karen Gelmon; Torsten O Nielsen; Carl Blomqvist; Päivi Heikkilä; Tuomas Heikkinen; Heli Nevanlinna; Lars A Akslen; Louis R Bégin; William D Foulkes; Fergus J Couch; Xianshu Wang; Vicky Cafourek; Janet E Olson; Laura Baglietto; Graham G Giles; Gianluca Severi; Catriona A McLean; Melissa C Southey; Emad Rakha; Andrew R Green; Ian O Ellis; Mark E Sherman; Jolanta Lissowska; William F Anderson; Angela Cox; Simon S Cross; Malcolm W R Reed; Elena Provenzano; Sarah-Jane Dawson; Alison M Dunning; Manjeet Humphreys; Douglas F Easton; Montserrat García-Closas; Carlos Caldas; Paul D Pharoah; David Huntsman
Journal:  PLoS Med       Date:  2010-05-25       Impact factor: 11.069

3.  MET amplification occurs with or without T790M mutations in EGFR mutant lung tumors with acquired resistance to gefitinib or erlotinib.

Authors:  James Bean; Cameron Brennan; Jin-Yuan Shih; Gregory Riely; Agnes Viale; Lu Wang; Dhananjay Chitale; Noriko Motoi; Janos Szoke; Stephen Broderick; Marissa Balak; Wen-Cheng Chang; Chong-Jen Yu; Adi Gazdar; Harvey Pass; Valerie Rusch; William Gerald; Shiu-Feng Huang; Pan-Chyr Yang; Vincent Miller; Marc Ladanyi; Chih-Hsin Yang; William Pao
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-18       Impact factor: 11.205

Review 4.  Crosstalk in Met receptor oncogenesis.

Authors:  Andrea Z Lai; Jasmine V Abella; Morag Park
Journal:  Trends Cell Biol       Date:  2009-09-14       Impact factor: 20.808

5.  MET amplification leads to gefitinib resistance in lung cancer by activating ERBB3 signaling.

Authors:  Jeffrey A Engelman; Kreshnik Zejnullahu; Tetsuya Mitsudomi; Youngchul Song; Courtney Hyland; Joon Oh Park; Neal Lindeman; Christopher-Michael Gale; Xiaojun Zhao; James Christensen; Takayuki Kosaka; Alison J Holmes; Andrew M Rogers; Federico Cappuzzo; Tony Mok; Charles Lee; Bruce E Johnson; Lewis C Cantley; Pasi A Jänne
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

6.  Triple-negative breast cancer: distinguishing between basal and nonbasal subtypes.

Authors:  Emad A Rakha; Somaia E Elsheikh; Muhammed A Aleskandarany; Hany O Habashi; Andrew R Green; Desmond G Powe; Maysa E El-Sayed; Ahmed Benhasouna; Jean-Sébastien Brunet; Lars A Akslen; Andy J Evans; Roger Blamey; Jorge S Reis-Filho; William D Foulkes; Ian O Ellis
Journal:  Clin Cancer Res       Date:  2009-03-24       Impact factor: 12.531

7.  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

  7 in total

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