Clonal evolution of glioblastoma under therapy

Area of Science:

• Neuro-oncology
• Genomics
• Cancer Evolution

Background:

• Glioblastoma (GBM) is a highly aggressive primary brain tumor.
• Understanding GBM evolution is crucial for developing effective treatments.

Purpose of the Study:

• To analyze longitudinal genomic and transcriptomic data from GBM patients.
• To elucidate the evolutionary patterns and identify molecular drivers of GBM recurrence.

Main Methods:

• Analysis of longitudinal genomic and transcriptomic data from 114 glioblastoma patients.
• Assessment of evolutionary rates and subtype changes.
• Investigation of mutations in LTBP4 and their effect on TGF-β signaling.

Main Results:

• GBM exhibits a highly branched evolutionary pattern with 63% of patients showing subtype changes.
• Relapse-associated clones often pre-exist diagnosis by years.
• Fifteen percent of recurrent tumors show hypermutation in highly expressed genes.
• 11% of recurrent tumors have LTBP4 mutations, impacting TGF-β signaling and proliferation.
• High LTBP4 expression correlates with worse prognosis in recurrent IDH1 wild-type GBM.

Conclusions:

• GBM evolution is complex and branched, with early clone emergence.
• LTBP4 and the TGF-β pathway are critical in GBM recurrence and progression.
• Targeting LTBP4/TGF-β presents a potential therapeutic strategy for glioblastoma.