MET-FISH Evaluation Algorithm: Proposal of a Simplified Method
- PMID: 36713931
- PMCID: PMC9878991
- DOI: 10.26502/jcsct.5079180
MET-FISH Evaluation Algorithm: Proposal of a Simplified Method
Abstract
MET amplifications (METamp) occur in 5% of NSCLC and represent in most case mechanisms of resistance to ALK and/or EGFR-targeted therapies. METamp detection can be performed using different techniques, although Fluorescence In-Situ Hybridization (FISH) remains the gold-standard, especially in the context of subclonality. To date current evaluation algorithms of MET amplifications are time consuming. Aim of the study was to identify a faster, equally reliable diagnostic algorithm for the detection of METamp, which is currently classified in negativity and low/intermediate/high-level amplification. N=497 NSCLC cases with available MET-FISH data had been selected. The results based on the first evaluated 20 cells had been re-calculated and compared with the definitive results based on 60 cells. For n=464 (93.4%) identical results had been obtained when counting 20 cells instead of 60 cells. Thirty-three cases (5.6%) showed a discrepancy, leading to an incorrect upgrade to a higher diagnostic category (n=25) and to an incorrect downgrade (n=8). We propose a simplified, yet equally reliable MET FISH-algorithm: after accurate screening of the whole tumor slide, twenty tumor cells have to be evaluated and results calculated: If the result is negative, or if all criteria of high-level METamp are fulfilled, the case can be signed out as such. All other cases should be considered as equivocal and additional 40 cells have to be counted. Given that, reliable results can be obtained by counting 20 cells only and an "equivocal" category for cases that need further investigation have been clearly defined.
Keywords: Evaluation Algorithm; Fish; MET-Amplification; Non-Small-Cell-Lung Cancer.
Conflict of interest statement
Conflict of Interest RB provided lectures and was part of Advisory Boards for AbbVie, Amgen, AstraZeneca, Bayer, BMS, Boehringer-Ingelheim, Illumina, Lilly, Merck-Serono, MSD, Novartis, Qiagen, Pfizer, Roche, Targos MP Inc. RB is Co-Founder and Scientific Advisor for Targos Mol. Pathology Inc. RB is Testifying Advisor for MSD in GBA-Assessment for Pembrolizumab. RB has received funding from the Deutsche Krebshilfe for the Network Genomic Medicine. SMB has received speaker honoraria and personal fees from Pfizer, Novartis, Roche, Bayer, AstraZeneca, Molecular Health, GSK, MSD and Targos; speaker honoraria and non-financial support from BMS; non-financial support from Janssen. The authors declare no further conflict of interest. RC was supported by the Else Kröner-Fresenius Stiftung (2016-Kolleg.19). AMS, CA and BH were supported by Roche Pharma AG. The authors have no further conflict of interest to disclaim.
Figures
References
-
- Mosele F, Remon J, Mateo J, et al. Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group. Ann Oncol (2020). - PubMed
-
- Wolf J, Seto T, Han JY, et al. Capmatinib in MET Exon 14-Mutated or MET-Amplified Non-Small-Cell Lung Cancer. N Engl J Med 383 (2020): 944–957. - PubMed
Grants and funding
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous