Event info
Date:18 Nov
Time:11:00 - 12:00
Venue:Online
Contact person
Nicole Mastrell

Nicole Mastrell

Event Manager & PA to CEO

nm@mva.org

+45 6141 8634

MVA Inspirational Webinar Series – Molecular Classification-based identification of diagnostic and treatment targets in glioma

Join us for this live webinar to learn about Molecular Classification-based identification of diagnostic and treatment targets in glioma.

Dr. Xiaolong Fan, professor at Beijing Normal University in China will provide a high-level overview of his experience in dealing with the challenges of this project. His team has been pursuing this project for about 15 years and he will describe more about his future research plans.

Key learnings of the webinar

  • Despite detailed characterization of genomic alterations, subtype-specific vulnerabilities and treatment options in gliomas are hitherto not identified
  • Based on the known developmental pathways converged between brain development and glioma, we developed an EM/PM classification scheme independent of morphological subtypes and grades
  • While genetic makeup may change during glioma progression and/or across different tumor areas, developmentally anchored EM/PM subtypes are highly stable and contain subtype-specific vulnerabilities.

 

Date: Thursday 18th November 2021
Time: 11:00 – 12:00 CET
Venue: Online

 

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Program

 

10:50Online platform opens for registering participants 
11:00Welcome
David Munis Zepernick, Head of Business Development and Public Affairs, Medicon Valley Alliance
11:05Molecular Classification-based identification of diagnostic and treatment targets in glioma
Dr. Xiaolong Fan, Professor at Beijing Normal University
10:50Q&A
Moderated by Nicholas Gouw Marketing Specialist at GenScript Europe
11:00End of webinar

 

 

 

 

Speaker 
Dr. Xiaolong Fan, Professor at Beijing Normal University

Xiaolong Fan completed doctoral (human genetics) and post-doctoral (bacterial infection biology) training at University Greifswald in Germany between 1989 and 1997, then moved to Lund University, Sweden, worked on hematopoietic stem cell biology and glioma biology, became PI in 2001. Dr. Fan was recruited to Beijing Normal University in 2009.

Dr. Fan has since then developed a bioinformatic platform integrating big data analysis with pathways of organ development and cancer pathogenesis, discovered the EM/PM classification scheme for glioma and the MCL1-M classification scheme for multiple myeloma. The seeming heterogeneities are “ordered” into molecular subtypes manifesting subtype-specific aggressiveness and treatment responses driven by distinct pathogenic mechanisms.

 

Moderator
Nicholas Gouw Marketing Specialist at GenScript Europe

 

 

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