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Identification, Validation, and Utilization of Immune Cells in Pancreatic Ductal Adenocarcinoma Based on Marker Genes.
de Koning, Willem; Latifi, Diba; Li, Yunlei; van Eijck, Casper H J; Stubbs, Andrew P; Mustafa, Dana A M.
Afiliação
  • de Koning W; Unit of Clinical Bioinformatics, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
  • Latifi D; Tumor Immuno-Pathology Laboratory, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
  • Li Y; Department of Surgery, Erasmus University Medical Centre, Rotterdam, Netherlands.
  • van Eijck CHJ; Unit of Clinical Bioinformatics, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
  • Stubbs AP; Tumor Immuno-Pathology Laboratory, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
  • Mustafa DAM; Department of Surgery, Erasmus University Medical Centre, Rotterdam, Netherlands.
Front Immunol ; 12: 649061, 2021.
Article em En | MEDLINE | ID: mdl-33986743
ABSTRACT
The immune response affects tumor biological behavior and progression. The specific immune characteristics of pancreatic ductal adenocarcinoma (PDAC) can determine the metastatic abilities of cancerous cells and the survival of patients. Therefore, it is important to characterize the specific immune landscape in PDAC tissue samples, and the effect of various types of therapy on that immune composition. Previously, a set of marker genes was identified to assess the immune cell composition in different types of cancer tissue samples. However, gene expression and subtypes of immune cells may vary across different types of cancers. The aim of this study was to provide a method to identify immune cells specifically in PDAC tissue samples. The method is based on defining a specific set of marker genes expressed by various immune cells in PDAC samples. A total of 90 marker genes were selected and tested for immune cell type-specific definition in PDAC; including 43 previously used, and 47 newly selected marker genes. The immune cell-type specificity was checked mathematically by calculating the "pairwise similarity" for all candidate genes using the PDAC RNA-sequenced dataset available at The Cancer Genome Atlas. A set of 55 marker genes that identify 22 different immune cell types for PDAC was created. To validate the method and the set of marker genes, an independent mRNA expression dataset of 24 samples of PDAC patients who received various types of (neo)adjuvant treatments was used. The results showed that by applying our method we were able to identify PDAC specific marker genes to characterize immune cell infiltration in tissue samples. The method we described enabled identifying different subtypes of immune cells that were affected by various types of therapy in PDAC patients. In addition, our method can be easily adapted and applied to identify the specific immune landscape in various types of tissue samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Carcinoma Ductal Pancreático / Sistema Imunitário Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Carcinoma Ductal Pancreático / Sistema Imunitário Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda