Literature DB >> 32642122

Frequency of MET exon 14 skipping mutations in non-small cell lung cancer according to technical approach in routine diagnosis: results from a real-life cohort of 2,369 patients.

Anne Champagnac1,2, Pierre-Paul Bringuier1,2, Marc Barritault1,2, Sylvie Isaac2,3, Emmanuel Watkin4, Fabien Forest5, Jean-Michel Maury2,6, Nicolas Girard2,7, Marie Brevet1,2.   

Abstract

BACKGROUND: Mesenchymal epithelial transition receptor (MET) alterations, including MET exon 14 skipping mutation, are oncogenic in non-small cell lung cancer (NSCLC) and may confer sensitivity to targeted therapy. Given the rarity and the diversity of exon 14 skipping mutations, diagnosis may be challenging on small-biopsy specimens.
METHODS: Between March 2014 and May 2018, tissue samples from patients with metastatic NSCLC were analysed for MET exon 14 skipping mutation as part of routine practice in the Pathology Department of the Hospices Civils de Lyon, France. Over the study period, Sanger sequencing and/or two different DNA-based next generation sequencing (NGS) assays were used.
RESULTS: Genomic alterations of MET exon 14 were detected in 2.6% (62/2,369) samples of NSCLC analysed for MET exon 14 mutations. Patients were mainly women (38/62, 61%) without smoking history (22/39, 56%) and the median age was 75 years. MET exon 14 skipping mutations were diagnosed by NGS in 50 cases and by classical Sanger sequencing in 12 cases. The frequency of MET mutations was 15.4% when Sanger sequencing was performed at the request of the clinician and 4.1% when the DNA-based NGS assay coverage included the 3' and 5' parts of the MET exon 14 and performed systematically.
CONCLUSIONS: The frequency of genomic alterations is highly dependent on patient selection and the technical approach. 2020 Journal of Thoracic Disease. All rights reserved.

Entities:  

Keywords:  DNA-based next generation sequencing assays (DNA-based NGS assay); Lung adenocarcinoma; MET exon 14; splice site variant

Year:  2020        PMID: 32642122      PMCID: PMC7330338          DOI: 10.21037/jtd.2020.04.21

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


Introduction

Oncogenic alterations occurring in non-small cell lung cancer (NSCLC) are attractive because they may confer sensitivity to targeted therapies and help personalise medicine with the use of targeted therapy (1). Alterations of the gene coding for the mesenchymal epithelial transition receptor (MET), a tyrosine kinase receptor, have been reported in NSCLC, including copy number variations (polysomy and amplification) and mutational activating variants (2,3). According to the Cancer Genome Atlas, the latter occur in 7% of pulmonary adenocarcinoma (2) with different frequencies according to ethnicity (4,5). The most frequent mutations are MET exon 14 skipping mutations that activate MET through reduction of MET degradation and increased MET activity (6,7). Because of the highly diverse sequence composition of MET exon 14 skipping mutations, the frequency of these mutations is strongly dependent on the technique used to detect MET alterations. It varies from 3% of pulmonary adenocarcinoma using direct sequencing or hybrid capture new generation sequencing (7,8) to 4.3% using whole-exome sequencing (2). The purpose of this retrospective study was to describe the frequency of MET exon 14 skipping mutations according to the different technical changes that have been used over recent years in a real-life context.

Methods

Patients and tumour samples

Between March 2014 and May 2018, tissue samples from patients with metastatic NSCLC were analysed for MET exon 14 skipping mutation as part of routine practice in the Pathology Department of the Hospices Civils de Lyon, France. A consent form was systematically obtained through the umbrella protocol of the biological specimen resource core facility of the Hospices Civils de Lyon. The present study was approved by the ethics committee of the Hospices Civils de Lyon. Clinical data, such as gender, age, smoking history, stage of the disease, and histopathological reports were retrospectively collected from all centres which had referred the cases for molecular diagnosis and ultimately managed the patients. Based on medical histopathological report and/or histopathological slides reviewed by two thoracic pathologists, lung carcinomas were classified according to the World Health Organization histopathological classification (1).

C-MET protein expression

Standard 4-µm formalin-fixed paraffin-embedded (FFPE) sections were subjected to immunohistochemical (IHC) analysis using a c-MET antibody (SP44, Ventana, Basel, Switzerland). Staining for c-MET was scored semi-quantitatively on a four-tier scale from 0 (absent) to 3 (strong membranous staining in >50% of tumour cells) as previously described (9). In case of a score of 2 (moderate expression) or 3 (high expression), fluorescent in situ hybridization (FISH) analysis was performed to confirm MET amplification.

MET amplification

MET gene copy number amplification was assessed by FISH using the Zytolight, MET/CEN7 dual color probe kit (Clinisciences, Nanterre, France). MET amplification was defined as a gene copy number ≥6 in at least 100 tumour cell nuclei or as the presence of clusters in >3 nuclei. Polysomy was defined as a ratio MET:CEN7 <2. In cases of exhausted samples, the analysis was performed on at least 25 cells.

MET gene exon 14 analysis

DNA was extracted from FFPE lung tumour tissue after laser microdissection (Leica, LMD 6000, Wetzlar, Germany; QIAmp DNA micro-kit, QIAGEN, Venlo, The Netherlands). In the Hospices Civils de Lyon, routine MET exon 14 genetic alterations were detected by three different methods over the duration of the study: (I) from 1 March 2014 to 30 April 2016 (period 1), Sanger sequencing of MET exon 14 and its splice sites (NM 001127500.2: c.2942-106 to c.3082+104) was performed only upon clinician request after investigation of other drivers by multiplex KRAS/EGFR/BRAF Sanger sequencing (KRAS/EGFR/BRAF negative + MET Sanger sequencing); (II) from 1 May 2016 to 31 August 2017 (period 2), next generation sequencing (NGS) was performed systematically for prospective samples using a custom ampliseq panel including the part of the MET exon 14 coding region (NM 001127500.2:c.2942-5 to c.3082+54) and Ion Personal Genome Machine technology (PGM Ion Torrent, ThermoFisher Scientific, Waltham, MA, USA) (period 2, NGS panel V1 only). Since this coverage is insufficient for MET splice site mutation detection (in particular at the 5’ end) and in case wild-type KRAS/EGFR/BRAF, Sanger sequencing completed the analysis upon clinician request (period 2, NGS panel V1 negative + MET Sanger sequencing). For some previous samples, already analysed for the main oncogenic drivers before the beginning of the second period, only Sanger sequencing was performed upon clinician request (period 2, KRAS/EGFR/BRAF negative + MET Sanger sequencing); (III) from 1 September 2017 to 30 May 2018 (period 3), the custom ampliseq panel was modified to cover MET exon 14 splice sites (NM 001127500.2: c.2942-97 to c.2994 and c.3031 to c.3082+181; NGS V2). In case of unpublished MET exon 14 mutations, MET exon 14 skipping was confirmed by an RNA-approach technique currently available in our department. The interested reader can find details about the technical aspects of NGS and RNA assay in the Supplementary appendix online. The MET exon 14 molecular analysis was performed after (period 1) or in parallel (period 2 and 3) of EGFR/KARS/BRAF/HER2, screened by sequencing and of ALK and ROS1, screened by immunohistochemistry.

Results

Patients and samples characteristics

A total of 2,369 samples from patients with NSCLC were analyzed for MET exon 14 skipping mutations from March 2014 until May 2018. Among these, 62 (2.6%) tumours harboured MET exon 14 genetic alterations. Patients were mainly women, (61% of cases) and the median age was 75 years (range, 46–97 years). Clinical data are summarized in .
Table 1

Clinical and histopathological characteristics

CharacteristicsTotal population, n=62
Gender, n [%]
   Female38 [61]
   Male24 [39]
Median age (years), median [range]75 [46–97]
Smoking history, n [%]
   Never22 [35]
   Current or former17 [27]
   Missing data23 [37]
Type of sample, n [%]
   Endoscopic biopsies38 [61]
   Surgical samples15 [24]
   Percutaneous biopsies7 [11]
   Cell-block2 [3]
Histological type of NSCLC, n [%]
   Adenocarcinoma49 [79]
   Squamous carcinoma5 [8]
   Sarcomatoid carcinoma4 [6]
   NSCLC-NOS4 [6]
Clinical stage, n [%]
   I2 [3]
   II3 [5]
   III8 [13]
   IV23 [37]
   Missing data26 [42]

NSCLC-NOS, non-small cell lung carcinoma-not otherwise specified.

NSCLC-NOS, non-small cell lung carcinoma-not otherwise specified.

Histopathological characteristics

Among the 62 samples harbouring a MET exon 14 mutation, 47 assays were performed on small samples (endoscopic/percutaneous biopsies or cell-block, 76%). Among these 47 assays, 38 (81%) were taken from bronchial biopsies, 7 (15%) from percutaneous biopsies and two were cytological samples (4%). In addition, 15/62 (24%) were taken from lung or pleural surgical biopsies. Overall, 49 (79%) tumours were adenocarcinomas, 5 (8%) were squamous carcinomas, 4 (6%) were sarcomatoid carcinomas, and 4 (6%) were classified as NSCLC-NOS (not otherwise specified; ). MET IHC analysis was performed on 22 samples; 19 (86%) of these were positive (). FISH analysis, performed on positive cases, found amplification (n=2; ) or polysomy (n=1) in 3/19 (16%) cases ().
Figure S1

Immunohistochemical staining of MET protein in a pleural metastasis specimen of a lung adenocarcinoma. Membranous score 3 expression of MET protein is present on the tumour cells.

Figure S2

MET fluorescent in situ hybridization. MET amplification ≥3 nuclei with clusters of MET signals is shown. Green = MET probe; red = centromeric probe.

Table S1

Comparison between MET protein expression and MET CNV on 22 samples harbouring MET exon 14 skipping mutation

Patient No.MET IHCMET CNV (copy number; ratio)
13No CNV (4.4; 0.8)
20NP
32NP
43Amplification (11.3; 4.5)
53Polysomy (7; 1)
60NP
73No CNV* (2.4; 0.96)
83No CNV* (3.74; 1.43)
90NP
102No CNV* (2.5; 1.0)
113No CNV (3.96; 1.01)
123No CNV (4.6; 0.6)
132No CNV* (3.6; 0.9)
143No CNV (5.9; NA)
152No CNV* (2.2; 0.8)
163Amplification (6.5; 1)
172No CNV* (2.5; 0.7)
182No CNV* (2.79; 0.73)
192No CNV* (3.37; 1.02)
203No CNV (5.3; 2.29)
212No CNV* (4.3; 1.3)
223No CNV* (5.8; 1.3)

*, analysis performed on <50 tumour cells. MET IHC grades: 0 absence of MET expression, 2 moderate expression, 3 strong expression. NP, not performed; IHC, immunohistochemistry; CNV, copy number variation.

Mutational characteristics

Considering all study periods, genomic alterations on the skipping site of MET exon 14 were detected in 2.6% of lung NSCLC. The description of the mutation type and its implication on the donor or acceptor site are described in . Among these 62 mutations, 50 (81%) cases were diagnosed by NGS, while 12 (19%) mutations were identified by Sanger sequencing. During the second period one mutation in the part of the gene not covered by the NGS panel V1was diagnosed by Sanger sequencing (). The frequency of MET exon 14 alterations varied depending on the selection of patients and technical approach used; the highest was found in patients who were known to have wild-type KRAS/EGFR/BRAF (15.4%). Among patients in whom only NGS was used, the frequency of MET exon 14 alterations was the greatest when the NGS panel covered the 3’ and 5’ of MET exon 14 (panel V2, 4.1%; ). Co-occurring genomic mutations were present in three cases (5%) including one KRAS G12C mutation, one NRAS Q61L mutation and one MET H1112Y substitution.
Figure 1

Mapping of MET exon 14 skipping mutations. The values indicate the position of the MET exon 14 skipping mutation on the MET exon 14 gene. MET substitutions are indicated by green triangles; MET deletions are indicated by green bars, the size of the bar is proportional to the size of the deletion. The corresponding position on the cDNA is indicated next to each alteration.

Table 2

Detection of MET exon 14 skipping mutations on genomic DNA during the three periods of study

PeriodNGS sequencingSanger sequencingTotal
Period 1 (n=30)6/30, 20.0%
   KRAS/EGFR/BRAF negative + MET Sanger sequencing6
Period 2 (n=1,507)22/1,507, 1.5%
   NGS panel V1 only (n=1,459)1616/1,459, 1.1%
   NGS panel V1 negative + MET Sanger sequencing (n=31)11/31, 3.2%
   KRAS/EGFR/BRAF negative + MET Sanger sequencing (n=17)55/17, 29.4%
Period 3 (n=832)34/832, 4.1%
   NGS panel V234
Total501262/2,369, 2.6%

NGS panel V1 does not include the MET exon 14 skipping mutation in 5' while NGS panel V2 includes 3' and 5' MET exon14 skipping mutations. NSCLC, non-small cell lung carcinoma; NGS, nest generation sequencing.

Table 3

Detection of MET exon 14 skipping mutations on genomic DNA depending of the selection of the patients

Period of studyNGS panel V1 (n=16)NGS panel V2 (n=34)Sanger sequencing (n=12)Total (n=62)
KRAS/EGFR/BRAF negative + MET Sanger sequencing (n=78)12/78, 15.4%
   Period 1 (n=30)66/30, 20.0%
   Period 2 (n=48)66/48, 12.5%
NGS only (n=2,291)50/2,291, 2.2%
   Period 2 (panel V1; n=1,459)1616/1,459, 1.1%
   Period 3 (panel V2, n=832)3434/832, 4.1%

NSCLC, non-small cell lung carcinoma; NGS, nest-generation sequencing.

Mapping of MET exon 14 skipping mutations. The values indicate the position of the MET exon 14 skipping mutation on the MET exon 14 gene. MET substitutions are indicated by green triangles; MET deletions are indicated by green bars, the size of the bar is proportional to the size of the deletion. The corresponding position on the cDNA is indicated next to each alteration. NGS panel V1 does not include the MET exon 14 skipping mutation in 5' while NGS panel V2 includes 3' and 5' MET exon14 skipping mutations. NSCLC, non-small cell lung carcinoma; NGS, nest generation sequencing. NSCLC, non-small cell lung carcinoma; NGS, nest-generation sequencing.

Discussion

In this large cohort of patients with NSCLC, we show that the frequency of MET exon 14 skipping mutations differed over time in accordance with the technical approach used. Other than clinical correlates, we also report the co-occurrence of RAS and MET mutations. The present study confirms some clinical and histopathological data. First, MET exon 14 skipping mutation were mostly observed in women and those who had never smoked, which is in line with previously reported features of patients with NSCLC harbouring oncogenic driver alteration (10); interestingly, the median age of the population was higher than that reported in case of EGFR or ALK alteration (4,11). This has a significant potential clinical relevance as elderly people are often not able to be treated by classical chemotherapy and targeted therapy could be a less toxic alternative. Furthermore, MET exon 14 skipping mutations were first described in sarcomatoid carcinoma (12-14), but herein they were mainly diagnosed in lung adenocarcinoma, as has widely been reported elsewhere (7,15,16). This underlines that the molecular screening of such mutations should not be limited to sarcomatoid carcinoma. The study also confirms that MET immunohistochemistry does not represent a valuable tool to screen patients for MET genomic alterations, including MET exon 14 skipping mutation as well as MET amplification. Furthermore, the results herein also confirm that co-occurring mutations are observed in 5% of NSCLC specimens that harbour a MET exon 14 skipping alteration (5,12,17) which precludes the prescription of MET tyrosine kinase inhibitors for such patients. Ultimately, a key clinical point for routine practice is that screening for MET exon 14 skipping mutations should be systematic irrespective of the tumour status for other oncogenic driver alteration, and the clinical characteristics of patients. The main purpose of this study was to analyse the impact of technical approach to detect MET exon 14 skipping mutations in routine practice. For instance, there were differences in the frequency of MET exon 14 skipping mutations according to the period of study and the sequencing design. When MET alterations were detected by Sanger sequencing in patients known to have wild-type KRAS/EGFR/BRAF, the frequency was very high which is explained mainly by the selection of the patients. To better evaluate this frequency, it would have been interesting to consider all patients who had received molecular analysis, but this was not possible to identify such individuals for the first study period. The lowest frequency of MET exon 14 skipping mutations detection was observed during the period when NGS was used systematically but the panel only covered part of the exon 14 and without further Sanger sequencing. In the most recent period, patients were not selected and the NGS panel covered the 3’ and 5’ of MET exon 14; the frequency of MET exons 14 skipping mutations is the same as that reported in other studies, including those using whole-exome sequencing (2) and a RNA-based assay (18). Furthermore, three-quarters of the MET alterations were diagnosed on small samples in line with routine practice in the setting of advanced and metastatic disease and FFPE specimens. Recently, Davies et al. (18) described the higher sensitivity of the RNA-based NGS assay employing anchored multiplex PCR for target enrichment comparing to a DNA-based NGS assay that employs an amplicon-mediated target enrichment, the latter being the approach used herein. Furthermore, RNA-based NGS assay allow the detection of ALK, ROS1, RET, NTRK1, and NRG1 translocations in a single assay, that could be suitable for small samples. However, as expected, some samples herein that were positive using the DNA-based approach were uninformative when analysed by the RNA-based approach due to the poor quality or low quantity of RNA. In routine practice, we do not often have the possibility to work on frozen samples or on a large amount of tissue and the assay used should be adapted to these aspects. To perform biomarker analysis on all kinds of samples, including cytological samples, a DNA-based NGS assay that employs an amplicon-mediated target enrichment is a more suitable technique to detect the more frequent genomic alterations. The frequency of MET exon 14 skipping mutations observed in the most recent period of this study confirm that a DNA-based assay with a good coverage of MET exon 14 skipping mutations could detect these alterations with a same frequency as an RNA-based assay in an unselected population. To conclude, the frequency of genomic alterations is highly dependent on patient selection and the technical approach. For routine practice, a compromise has to be made between sensitivity and feasibility, the DNA-based NGS assay used herein seems to be a practical alternative to RNA-based techniques for small FFPE specimens. The article’s supplementary files as
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1.  Activation of MET via diverse exon 14 splicing alterations occurs in multiple tumor types and confers clinical sensitivity to MET inhibitors.

Authors:  Garrett M Frampton; Siraj M Ali; Mark Rosenzweig; Juliann Chmielecki; Xinyuan Lu; Todd M Bauer; Mikhail Akimov; Jose A Bufill; Carrie Lee; David Jentz; Rick Hoover; Sai-Hong Ignatius Ou; Ravi Salgia; Tim Brennan; Zachary R Chalmers; Savina Jaeger; Alan Huang; Julia A Elvin; Rachel Erlich; Alex Fichtenholtz; Kyle A Gowen; Joel Greenbowe; Adrienne Johnson; Depinder Khaira; Caitlin McMahon; Eric M Sanford; Steven Roels; Jared White; Joel Greshock; Robert Schlegel; Doron Lipson; Roman Yelensky; Deborah Morosini; Jeffrey S Ross; Eric Collisson; Malte Peters; Philip J Stephens; Vincent A Miller
Journal:  Cancer Discov       Date:  2015-05-13       Impact factor: 39.397

2.  The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification.

Authors:  William D Travis; Elisabeth Brambilla; Andrew G Nicholson; Yasushi Yatabe; John H M Austin; Mary Beth Beasley; Lucian R Chirieac; Sanja Dacic; Edwina Duhig; Douglas B Flieder; Kim Geisinger; Fred R Hirsch; Yuichi Ishikawa; Keith M Kerr; Masayuki Noguchi; Giuseppe Pelosi; Charles A Powell; Ming Sound Tsao; Ignacio Wistuba
Journal:  J Thorac Oncol       Date:  2015-09       Impact factor: 15.609

3.  DNA-Based versus RNA-Based Detection of MET Exon 14 Skipping Events in Lung Cancer.

Authors:  Kurtis D Davies; Aprille Lomboy; Carolyn A Lawrence; Michael Yourshaw; Gregary T Bocsi; D Ross Camidge; Dara L Aisner
Journal:  J Thorac Oncol       Date:  2019-01-09       Impact factor: 15.609

Review 4.  Exon 14 Deleted MET Receptor as a New Biomarker and Target in Cancers.

Authors:  Alexis B Cortot; Zoulika Kherrouche; Clotilde Descarpentries; Marie Wislez; Simon Baldacci; Alessandro Furlan; David Tulasne
Journal:  J Natl Cancer Inst       Date:  2017-05-01       Impact factor: 13.506

Review 5.  MET in Lung Cancer: Biomarker Selection Based on Scientific Rationale.

Authors:  Ravi Salgia
Journal:  Mol Cancer Ther       Date:  2017-04       Impact factor: 6.261

6.  Characterization of 298 Patients with Lung Cancer Harboring MET Exon 14 Skipping Alterations.

Authors:  Alexa B Schrock; Garrett M Frampton; James Suh; Zachary R Chalmers; Mark Rosenzweig; Rachel L Erlich; Balazs Halmos; Jonathan Goldman; Patrick Forde; Kurt Leuenberger; Nir Peled; Gregory P Kalemkerian; Jeffrey S Ross; Philip J Stephens; Vincent A Miller; Siraj M Ali; Sai-Hong Ignatius Ou
Journal:  J Thorac Oncol       Date:  2016-06-22       Impact factor: 15.609

7.  Activation of MET by gene amplification or by splice mutations deleting the juxtamembrane domain in primary resected lung cancers.

Authors:  Ryoichi Onozato; Takayuki Kosaka; Hiroyuki Kuwano; Yoshitaka Sekido; Yasushi Yatabe; Tetsuya Mitsudomi
Journal:  J Thorac Oncol       Date:  2009-01       Impact factor: 15.609

8.  MET exon 14 mutations as targets in routine molecular analysis of primary sarcomatoid carcinoma of the lung.

Authors:  Raphaël Saffroy; Vincent Fallet; Nicolas Girard; Julien Mazieres; Denis Moro Sibilot; Sylvie Lantuejoul; Isabelle Rouquette; Françoise Thivolet-Bejui; Thibaut Vieira; Martine Antoine; Jacques Cadranel; Antoinette Lemoine; Marie Wislez
Journal:  Oncotarget       Date:  2017-06-27

9.  Comprehensive molecular profiling of lung adenocarcinoma.

Authors: 
Journal:  Nature       Date:  2014-07-09       Impact factor: 49.962

10.  MET exon 14 skipping defines a unique molecular class of non-small cell lung cancer.

Authors:  Difan Zheng; Rui Wang; Ting Ye; Su Yu; Haichuan Hu; Xuxia Shen; Yuan Li; Hongbin Ji; Yihua Sun; Haiquan Chen
Journal:  Oncotarget       Date:  2016-07-05
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1.  MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning.

Authors:  Vladimir Nosi; Alessandrì Luca; Melissa Milan; Maddalena Arigoni; Silvia Benvenuti; Davide Cacchiarelli; Marcella Cesana; Sara Riccardo; Lucio Di Filippo; Francesca Cordero; Marco Beccuti; Paolo M Comoglio; Raffaele A Calogero
Journal:  Int J Mol Sci       Date:  2021-04-19       Impact factor: 5.923

  1 in total

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