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Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue.
Kim, Soon-Chan; Cho, Young-Eun; Shin, Young-Kyoung; Yu, Hyeon Jong; Chowdhury, Tamrin; Kim, Sojin; Yi, Kyung Sik; Choi, Chi-Hoon; Cha, Sang-Hoon; Park, Chul-Kee; Ku, Ja-Lok.
Afiliación
  • Kim SC; Korean Cell Line Bank, Laboratory of Cell Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Cho YE; Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea.
  • Shin YK; Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Yu HJ; Korean Cell Line Bank, Laboratory of Cell Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Chowdhury T; Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea.
  • Kim S; Korean Cell Line Bank, Laboratory of Cell Biology, Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Yi KS; Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea.
  • Choi CH; Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Cha SH; Department of Neurosurgery, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Park CK; Department of Neurosurgery, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
  • Ku JL; Department of Neurosurgery, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Sci Data ; 10(1): 448, 2023 07 12.
Article en En | MEDLINE | ID: mdl-37438387
ABSTRACT
Glioblastoma (GBM) is the most lethal intracranial tumor. Sequencing technologies have supported personalized therapy for precise diagnosis and optimal treatment of GBM by revealing clinically actionable molecular characteristics. Although accumulating sequence data from brain tumors and matched normal tissues have facilitated a comprehensive understanding of genomic features of GBM, these in silico evaluations could gain more biological credibility when they are verified with in vitro and in vivo models. From this perspective, GBM cell lines with whole exome sequencing (WES) datasets of matched tumor tissues and normal blood are suitable biological platforms to not only investigate molecular markers of GBM but also validate the applicability of druggable targets. Here, we provide a complete WES dataset of 26 GBM patient-derived cell lines along with their matched tumor tissues and blood to demonstrate that cell lines can mostly recapitulate genomic profiles of original tumors such as mutational signatures and copy number alterations.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Línea Celular Tumoral / Genes Relacionados con las Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Línea Celular Tumoral / Genes Relacionados con las Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article