Functional precision medicine identifies new therapeutic candidates for medulloblastoma
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ABSTRACT:
PROVIDER: PRJNA635569 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Functional precision medicine identifies new therapeutic candidates for medulloblastoma (expression dataset)
| PRJNA635573 | ENA
Project description:Functional precision medicine identifies new therapeutic candidates for medulloblastoma (methylation dataset)
| PRJNA635574 | ENA
Project description:Medulloblastoma (MB) is among the most common malignant brain tumors in children. Recent studies have identified at least four subgroups of the disease that differ in terms of molecular characteristics and patient outcomes. Despite this heterogeneity, most MB patients receive similar therapies, including surgery, radiation and intensive chemotherapy. Although these treatments prolong survival, many patients still die from the disease, and survivors suffer severe long-term side effects from therapy. We hypothesize that each MB patient is sensitive to different therapies, and that tailoring therapy based on the molecular and cellular characteristics of patients’ tumors will improve outcomes. To test this, we have assembled a panel of orthotopic patient-derived xenografts (PDXs) and subjected them to DNA sequencing, gene expression profiling and high-throughput drug screening. Analysis of DNA sequencing suggests that most MBs do not have actionable mutations that point to effective therapies. In contrast, gene expression and drug response data provide valuable information about potential therapies for every tumor. For example, drug screening demonstrates that actinomycin D – which is used for treatment of sarcoma but rarely for MB – is active against PDXs representing Group 3 MB, the most aggressive form of the disease. Finally, we show that functional analysis of tumor cells can be used in a clinical setting to identify more treatment options than sequencing alone. These studies suggest that it should be possible to move away from a one-size-fits-all approach and begin to treat each patient with therapies that are effective against their tumor.
2020-10-01 | GSE151344 | GEO
Project description:Medulloblastoma (MB) is among the most common malignant brain tumors in children. Recent studies have identified at least four subgroups of the disease that differ in terms of molecular characteristics and patient outcomes. Despite this heterogeneity, most MB patients receive similar therapies, including surgery, radiation and intensive chemotherapy. Although these treatments prolong survival, many patients still die from the disease, and survivors suffer severe long-term side effects from therapy. We hypothesize that each MB patient is sensitive to different therapies, and that tailoring therapy based on the molecular and cellular characteristics of patients’ tumors will improve outcomes. To test this, we have assembled a panel of orthotopic patient-derived xenografts (PDXs) and subjected them to DNA sequencing, gene expression profiling and high-throughput drug screening. Analysis of DNA sequencing suggests that most MBs do not have actionable mutations that point to effective therapies. In contrast, gene expression and drug response data provide valuable information about potential therapies for every tumor. For example, drug screening demonstrates that actinomycin D – which is used for treatment of sarcoma but rarely for MB – is active against PDXs representing Group 3 MB, the most aggressive form of the disease. Finally, we show that functional analysis of tumor cells can be used in a clinical setting to identify more treatment options than sequencing alone. These studies suggest that it should be possible to move away from a one-size-fits-all approach and begin to treat each patient with therapies that are effective against their tumor.
2020-10-01 | GSE151343 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2020-10-01 | GSE151345 | GEO
Project description:Medulloblastoma is among the most common malignant brain tumors in children. Recent studies have identified at least four subgroups of the disease that differ in terms of molecular characteristics and patient outcomes. Despite this heterogeneity, most patients with medulloblastoma receive similar therapies, including surgery, radiation, and intensive chemotherapy. Although these treatments prolong survival, many patients still die from the disease and survivors suffer severe long-term side effects from therapy. We hypothesize that each patient with medulloblastoma is sensitive to different therapies and that tailoring therapy based on the molecular and cellular characteristics of patients' tumors will improve outcomes. To test this, we assembled a panel of orthotopic patient-derived xenografts (PDX) and subjected them to DNA sequencing, gene expression profiling, and high-throughput drug screening. Analysis of DNA sequencing revealed that most medulloblastomas do not have actionable mutations that point to effective therapies. In contrast, gene expression and drug response data provided valuable information about potential therapies for every tumor. For example, drug screening demonstrated that actinomycin D, which is used for treatment of sarcoma but rarely for medulloblastoma, was active against PDXs representing Group 3 medulloblastoma, the most aggressive form of the disease. Functional analysis of tumor cells was successfully used in a clinical setting to identify more treatment options than sequencing alone. These studies suggest that it should be possible to move away from a one-size-fits-all approach and begin to treat each patient with therapies that are effective against their specific tumor. SIGNIFICANCE: These findings show that high-throughput drug screening identifies therapies for medulloblastoma that cannot be predicted by genomic or transcriptomic analysis.
| S-EPMC7718387 | biostudies-literature
Project description:Precision Medicine for Inherited Retinal Degenerations
| PRJNA736120 | ENA
Project description:Precision Medicine for Inherited Retinal Degenerations
| PRJNA736121 | ENA
Project description:The development of precision medicine strategies requires prior knowledge of the genetic background of the target population. However, despite the availability of data from admixed Americans within large reference population databases, we cannot use these data as a surrogate for that of the Brazilian population. This lack of transferability is mainly due to differences between ancestry proportions of Brazilian and other admixed American populations. To address the issue, a coalition of research centres created the Brazilian Initiative on Precision Medicine (BIPMed), an initiative of five Research Innovation and Dissemination Centers (RIDCs) supported by FAPESP.
2020-08-22 | GSE156652 | GEO
Project description:The Brazilian Initiative on Precision Medicine (BIPMed)
| PRJNA658602 | ENA