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Bioinformatically Expanded Next-Generation Sequencing Analysis Optimizes Identification of Therapeutically Relevant MET Copy Number Alterations in >50,000 Tumors.
Solomon, James P; Yang, Soo-Ryum; Choudhury, Noura J; Ptashkin, Ryan N; Eslamdoost, Nasrin; Falcon, Christina J; Martin, Axel; Plodkowski, Andrew; Wilhelm, Clare; Shen, Ronglai; Ladanyi, Marc; Berger, Michael; Zhang, Yanming; Drilon, Alexander; Arcila, Maria E.
Afiliação
  • Solomon JP; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.
  • Yang SR; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Choudhury NJ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Ptashkin RN; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Eslamdoost N; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Falcon CJ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Martin A; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Plodkowski A; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Wilhelm C; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Shen R; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Ladanyi M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Berger M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Zhang Y; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Drilon A; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Arcila ME; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Clin Cancer Res ; 28(21): 4649-4659, 2022 11 01.
Article em En | MEDLINE | ID: mdl-36044468
ABSTRACT

PURPOSE:

Clinical relevance thresholds and laboratory methods are poorly defined for MET amplification, a targetable biomarker across malignancies. EXPERIMENTAL

DESIGN:

The utility of next-generation sequencing (NGS) in assessing MET copy number alterations was determined in >50,000 solid tumors. Using fluorescence in situ hybridization as reference, we validated and optimized NGS analysis.

RESULTS:

Incorporating read-depth and focality analyses achieved 91% concordance, 97% sensitivity, and 89% specificity. Tumor heterogeneity, neoplastic cell proportions, and genomic focality affected MET amplification assessment. NGS methodology showed superiority in capturing overall amplification status in heterogeneous tumors and defining amplification focality among other genomic alterations. MET copy gains and amplifications were found in 408 samples across 23 malignancies. Total MET copy number inversely correlated with amplified segment size. High-level/focal amplification was enriched in certain genomic subgroups and associated with targeted therapy response.

CONCLUSIONS:

Leveraging our integrated bioinformatic approach, targeted therapy benefit was observed across diverse MET amplification contexts.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variações do Número de Cópias de DNA / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variações do Número de Cópias de DNA / Neoplasias Idioma: En Ano de publicação: 2022 Tipo de documento: Article