THESIS
2020
1 volume (various pagings) : illustrations (chiefly color) ; 30 cm
Abstract
Even with intensive treatment including radiotherapy and chemotherapy, gliomas, the most
common and aggressive brain tumor in adults, inevitably recur with elevated aggressiveness
and treatment resistance. Our understanding of recurrent glioma and their evolution under
treatment remain very limited.
We hypothesize that genomic alterations highly enriched in or even specific to recurrent
glioma contribute to their clinical characteristics. In the first study, we developed copy number
prediction and gene fusion prioritization tools to analyzed RNA-sequencing data of
temozolomide (TMZ) treated glioma. We found a subset of recurrent gliomas carrying genomic
rearrangements of O-6-methylguanine-DNA methyltransferase (MGMT). The alternative
promoters elevated MGMT expression but prevs...[
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Even with intensive treatment including radiotherapy and chemotherapy, gliomas, the most
common and aggressive brain tumor in adults, inevitably recur with elevated aggressiveness
and treatment resistance. Our understanding of recurrent glioma and their evolution under
treatment remain very limited.
We hypothesize that genomic alterations highly enriched in or even specific to recurrent
glioma contribute to their clinical characteristics. In the first study, we developed copy number
prediction and gene fusion prioritization tools to analyzed RNA-sequencing data of
temozolomide (TMZ) treated glioma. We found a subset of recurrent gliomas carrying genomic
rearrangements of O-6-methylguanine-DNA methyltransferase (MGMT). The alternative
promoters elevated MGMT expression but prevserved the functional domains that repair DNA
damage caused by TMZ, therefore the MGMT fusions contributed to TMZ resistance.
In the second study, we collected and analyzed DNA and/or RNA sequencing data of 188
secondary glioblastomas (sGBMs) to reveal their mutational landscape. We found METex14
presents in ~14% of sGBM cases, and these patents showed significantly worse prognosis.
Subsequent studies show that METex14 promotes glioma progression by prolonging MET
activity. Analysis of drug screening data suggests METex14 positive glioma cells are sensitive to MET inhibitors. Experiments and clinical trials from collaborators demonstrated the potential
of precisely treating MET altered gliomas using a new MET inhibitor.
In the third study we tested the hypothesis that features of the initial tumor predispose tumor
recurrence. We collected and analysed sequencing and clinical data of initial-recurrent tumor
pairs from 512 patients, among which 96 developed progression from lower-grade gliomas to
glioblastoma and 67 developed therapy-driven hypermutation at relapse. To track early
predictors of glioma evolution, machine learning models were developed to forecast
evolutionary trajectories based on features collected at initial. Strikingly, we found MYC
amplifications and transcriptional pathway activation at diagnosis predisposing hypermutations
at recurrence, which was experimentally verified in perturbations of cancer cell lines.
Furthermore, we showed that chromatin accessibility, transcription activity and c-Myc binding
synergistically increase the vulnerability of genomic regions to temozolomide-driven
mutagenesis; and hence the MYC targets, including mismatch repair genes, tend to develop
loss-of-function mutations leading to higher probability of hypermutation. This study
underscores the potential of precise cancer management by predicting and targeting clonal
dynamics.
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