权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Genetic evolution of glioblastomas during radiation and temozolomide therapy

放疗和替莫唑胺治疗期间胶质母细胞瘤的遗传进化

基本信息

批准号：
9262911
负责人：
RAMEEN BEROUKHIM
金额：
$ 68.94万
依托单位：
DANA-FARBER CANCER INST
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-04-01 至 2020-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9262911
关键词：
Address Adult Aftercare Alkylating Agents Automobile Driving Biological Assay Biological Models Biometry Biopsy CHEK2 gene Cell Fraction Cell Line Cells Clinical Clinical Data Clinical Trials Clonal Evolution DNA sequencing Data Data Analyses Development Diagnostic Epidermal Growth Factor Receptor Erlotinib Event Evolution Exhibits Exons Genetic Genetic Heterogeneity Genome Genomics Glioblastoma Heterogeneity Human Imatinib In Vitro Individual Institution Lung Malignant - descriptor Malignant Neoplasms Mediator of activation protein Methods Minor Modeling Mutation PDGFRA gene Pathway interactions Patients Pharmaceutical Preparations Point Mutation Population Primary Brain Neoplasms Primary Neoplasm Radiation Radiation therapy Recurrence Recurrent tumor Resistance Resistance development Resolution Sampling Structure TP53 gene Testing Therapeutic Time Tissues Treatment Efficacy United States Xenograft Model Xenograft procedure chemoradiation chemotherapy deep sequencing effective therapy exome sequencing experimental study genetic evolution genetic profiling improved in vivo individual patient innovation new therapeutic target novel novel strategies novel therapeutic intervention oncology outcome prediction predictive marker prevent profiles in patients public health relevance radiation effect radiation response radioresistant resistance mechanism single cell sequencing small molecule standard of care targeted treatment temozolomide therapeutic target tool treatment effect treatment strategy tumor tumor heterogeneity

项目摘要

DESCRIPTION (provided by applicant): Glioblastomas (GBMs) are genomically well characterized, yet heterogeneous, and exhibit profound resistance to all existing treatment strategies. The most effective therapeutics are radiation therapy (RT) and the alkylating agent temozolomide (TMZ), but progression typically occurs within months after initiating these treatments. The mechanisms underlying this profound resistance remain unknown, but genetic heterogeneity is likely a major contributor, as has been shown in other cancers. Unfortunately, little is known about how GBM genomes evolve with treatment. This information would be useful to guide development of strategies to avoid the development of resistance and to identify optimal therapeutic approaches in the recurrent setting. We hypothesize that somatic genetic profiles of GBMs that recur after treatment with RT and TMZ differ substantially from pre-treatment GBMs, and that the differences point to mechanisms by which GBMs resist these treatments. To test this, we propose to identify and functionally validate recurrent genetic changes associated with resistance using innovative genomic analysis tools and patient derived model systems. Our collaborative consortium has collected an unprecedented number of paired pre- and post-treatment human tumors (>200). We have also created more than 100 patient derived GBM models that will be treated to test for the emergence of recurrent resistance drivers. Preliminary data from both patient samples and models indicate substantial tumor evolution occurs during treatment and identify TP53, CHEK2 and other rational targets as candidate mediators of resistance. Collective analysis of the data will be used to address two Aims. In Aim 1, we will test the hypothesis that treatment with radiation and temozolomide leads to consistent genetic changes in human tumors using whole exome sequencing of paired pre- and post-treatment tumor samples to determine large-scale changes in population structures and single cell sequencing to evaluate the effects of these treatments on microheterogeneity. In Aim 2, we will test the hypothesis that genetic changes identified in post-treatment GBMs functionally contribute to RT and TMZ resistance in GBM using patient derived cell lines (PDCL) and patient derived xenografts (PDX). We will determine the effects of radiation and temozolomide on these models and their genomic hierarchies using deep sequencing and test the effects of candidate drivers of resistance both in vitro and in vivo. We will determine whether resistant clones exist prior to treatment or are stochastically induced using an innovative single cell barcoding approach to determine whether the evolution of clonal substructures is consistent across replicate experiments. These studies will create a comprehensive understanding of genetic evolution during standard-of-care therapy for GBM. They will inform diagnostic approaches for assignment of targeted therapeutics in the recurrent setting and identify genetic changes driving resistance. Therapeutic targeting of these novel resistance drivers could represent a rational approach to substantially improve our existing standard of care for GBM patients.