Integrating next-generation sequencing and artificial intelligence for the identification and validation of pathogenic variants in colorectal cancer.

Journal: Frontiers in oncology
Published Date:

Abstract

BACKGROUND: Colorectal cancer (CRC) is recognized as a multifactorial disease, where both genetic and environmental factors play critical roles in its development and progression. The identification of pathogenic germline variants has proven to be a valuable tool for early diagnosis, the implementation of surveillance strategies, and the identification of individuals at increased cancer risk. Next-generation sequencing (NGS) has facilitated comprehensive multigene analysis in both hereditary and sporadic cases of CRC.

Authors

  • Juliana Rodriguez-Salamanca
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Mariana Angulo-Aguado
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Sarah Orjuela-Amarillo
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Catalina Duque
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Diana Carolina Sierra-Díaz
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Nora Contreras Bravo
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Carlos Figueroa
    Coloproctology Department, Hospital Universitario Mayor - Méderi - Universidad del Rosario, Bogotá, Colombia.
  • Carlos M Restrepo
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Andrés López-Cortés
    Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Mariscal Sucre Avenue, Quito, 170129, Ecuador. aalc84@gmail.com.
  • Rodrigo Cabrera
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Adrien Morel
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.
  • Dora Janeth Fonseca-Mendoza
    School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Universidad del Rosario, Bogotá, Colombia.

Keywords

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