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Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library.
Offin, Michael; Sauter, Jennifer L; Tischfield, Sam E; Egger, Jacklynn V; Chavan, Shweta; Shah, Nisargbhai S; Manoj, Parvathy; Ventura, Katia; Allaj, Viola; de Stanchina, Elisa; Travis, William; Ladanyi, Marc; Rimner, Andreas; Rusch, Valerie W; Adusumilli, Prasad S; Poirier, John T; Zauderer, Marjorie G; Rudin, Charles M; Sen, Triparna.
Afiliación
  • Offin M; Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Sauter JL; Weill Cornell Medical College, New York, NY, 10065, USA.
  • Tischfield SE; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Egger JV; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Chavan S; Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Shah NS; Weill Cornell Medical College, New York, NY, 10065, USA.
  • Manoj P; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Ventura K; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Allaj V; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • de Stanchina E; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Travis W; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Ladanyi M; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Rimner A; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Rusch VW; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Adusumilli PS; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Poirier JT; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Zauderer MG; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Rudin CM; Perlmutter Cancer Center, New York University Langone Health, New York, NY, 10065, USA.
  • Sen T; Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. zauderem@mskcc.org.
Genome Med ; 14(1): 127, 2022 11 15.
Article en En | MEDLINE | ID: mdl-36380343
ABSTRACT

BACKGROUND:

Diffuse pleural mesothelioma (DPM) is an aggressive malignancy that, despite recent treatment advances, has unacceptably poor outcomes. Therapeutic research in DPM is inhibited by a paucity of preclinical models that faithfully recapitulate the human disease.

METHODS:

We established 22 patient-derived xenografts (PDX) from 22 patients with DPM and performed multi-omic analyses to deconvolute the mutational landscapes, global expression profiles, and molecular subtypes of these PDX models and compared features to those of the matched primary patient tumors. Targeted next-generation sequencing (NGS; MSK-IMPACT), immunohistochemistry, and histologic subtyping were performed on all available samples. RNA sequencing was performed on all available PDX samples. Clinical outcomes and treatment history were annotated for all patients. Platinum-doublet progression-free survival (PFS) was determined from the start of chemotherapy until radiographic/clinical progression and grouped into < or ≥ 6 months.

RESULTS:

PDX models were established from both treatment naïve and previously treated samples and were noted to closely resemble the histology, genomic landscape, and proteomic profiles of the parent tumor. After establishing the validity of the models, transcriptomic analyses demonstrated overexpression in WNT/ß-catenin, hedgehog, and TGF-ß signaling and a consistent suppression of immune-related signaling in PDXs derived from patients with worse clinical outcomes.

CONCLUSIONS:

These data demonstrate that DPM PDX models closely resemble the genotype and phenotype of parental tumors, and identify pathways altered in DPM for future exploration in preclinical studies.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcriptoma / Mesotelioma Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Genome Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcriptoma / Mesotelioma Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Genome Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos