Background:
Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Translational validation of personalized treatment strategy based on genetic characteristics of glioblastoma.
Specimen part
View SamplesGlioblastoma (GBM) heterogeneity in the genomic and phenotypic properties has potentiated personalized approach against specific therapeutic targets of each GBM patient. The Cancer Genome Atlas (TCGA) Research Network has been established the comprehensive genomic abnormalities of GBM, which sub-classified GBMs into 4 different molecular subtypes. The molecular subtypes could be utilized to develop personalized treatment strategy for each subtype. We applied a classifying method, NTP (Nearest Template Prediction) method to determine molecular subtype of each GBM patient and corresponding orthotopic xenograft animal model. The models were derived from GBM cells dissociated from patient's surgical sample. Specific drug candidates for each subtype were selected using an integrated pharmacological network database (PharmDB), which link drugs with subtype specific genes. Treatment effects of the drug candidates were determined by in vitro limiting dilution assay using patient-derived GBM cells primarily cultured from orthotopic xenograft tumors. The consistent identification of molecular subtype by the NTP method was validated using TCGA database. When subtypes were determined by the NTP method, orthotopic xenograft animal models faithfully maintained the molecular subtypes of parental tumors. Subtype specific drugs not only showed significant inhibition effects on the in vitro clonogenicity of patient-derived GBM cells but also synergistically reversed temozolomide resistance of MGMT-unmethylated patient-derived GBM cells. However, inhibitory effects on the clonogenicity were not totally subtype-specific. Personalized treatment approach based on genetic characteristics of each GBM could make better treatment outcomes of GBMs, although more sophisticated classifying techniques and subtype specific drugs need to be further elucidated.
Translational validation of personalized treatment strategy based on genetic characteristics of glioblastoma.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Patient-specific orthotopic glioblastoma xenograft models recapitulate the histopathology and biology of human glioblastomas in situ.
Sex, Age, Specimen part, Disease, Disease stage, Subject
View SamplesFrequent discrepancies between preclinical and clinical results of anti-cancer agents demand a reliable translational platform that can precisely recapitulate the biology of human cancers. Another critical unmet need is the ability to predict therapeutic responses for individual patients. Toward this goal, we have established a library of orthotopic glioblastoma (GBM) xenograft models using surgical samples of GBM patients. These patient-specific GBM xenograft tumors recapitulate histopathological properties and maintain genomic characteristics of parental GBMs in situ. Furthermore, in vivo irradiation, chemotherapy, and targeted therapy of these xenograft tumors mimic the treatment response of parental GBMs. We also found that establishment of orthotopic xenograft models portends poor prognosis of GBM patients and identified the gene signatures and pathways signatures associated with the clinical aggressiveness of GBMs. Together, the patient-specific orthotopic GBM xenograft library represent the preclinically and clinically valuable patient tumors phenocopy that represents molecular and functional heterogeneity of GBMs.
Patient-specific orthotopic glioblastoma xenograft models recapitulate the histopathology and biology of human glioblastomas in situ.
Sex, Age, Disease, Disease stage, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network.
Specimen part
View SamplesA global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network. Nucleic Acids Res. 2012 Dec;40(22):11339-51.
A global DNA methylation and gene expression analysis of early human B-cell development reveals a demethylation signature and transcription factor network.
Specimen part
View SamplesGlioblastoma (GBM) heterogeneity in the genomic and phenotypic properties has potentiated personalized approach against specific therapeutic targets of each GBM patient. The Cancer Genome Atlas (TCGA) Research Network has been established the comprehensive genomic abnormalities of GBM, which sub-classified GBMs into 4 different molecular subtypes. The molecular subtypes could be utilized to develop personalized treatment strategy for each subtype. We applied a classifying method, NTP (Nearest Template Prediction) method to determine molecular subtype of each GBM patient and corresponding orthotopic xenograft animal model. The models were derived from GBM cells dissociated from patient's surgical sample. Specific drug candidates for each subtype were selected using an integrated pharmacological network database (PharmDB), which link drugs with subtype specific genes. Treatment effects of the drug candidates were determined by in vitro limiting dilution assay using patient-derived GBM cells primarily cultured from orthotopic xenograft tumors. The consistent identification of molecular subtype by the NTP method was validated using TCGA database. When subtypes were determined by the NTP method, orthotopic xenograft animal models faithfully maintained the molecular subtypes of parental tumors. Subtype specific drugs not only showed significant inhibition effects on the in vitro clonogenicity of patient-derived GBM cells but also synergistically reversed temozolomide resistance of MGMT-unmethylated patient-derived GBM cells. However, inhibitory effects on the clonogenicity were not totally subtype-specific. Personalized treatment approach based on genetic characteristics of each GBM could make better treatment outcomes of GBMs, although more sophisticated classifying techniques and subtype specific drugs need to be further elucidated.
Translational validation of personalized treatment strategy based on genetic characteristics of glioblastoma.
Specimen part
View SamplesWe isolated Farage cells expressing the cell surface marker SLAMF1. LMP1 and its target gene CCL22 were highly expressed in SLAMF1high Farage cells. These cells survived longer following treatment with a combination of cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP). Genes associated with interferon-alpha, allograft rejection, NF-kB, STAT3 and 5 were also overexpressed in the surviving Farage cells.
LMP1+SLAMF1high cells are associated with drug resistance in Epstein-Barr virus-positive Farage cells.
Specimen part, Treatment, Time
View SamplesTerahertz (THz) technology has emerged for biomedical applications such as scanning, molecular spectroscopy, and medical imaging. However, the biological effect of THz radiation is not fully understood. Non-thermal effects of THz radiation were investigated by applying a femtosecond-terahertz (fs-THz) pulse to mouse skin. Analysis of the genome-wide expression profile in fs-THz-irradiated skin indicated that wound responses were predominantly through NFB1- and Smad3/4-mediated transcriptional activation. Repeated fs-THz radiation delayed the closure of mouse skin punch wounds due to up-regulation of transforming growth factor-beta (TGF-). These findings suggest that fs-THz radiation provokes a wound-like signal in skin with increased expression of TGF- and activation of its downstream target genes, which perturbs the wound healing process in vivo.
High-power femtosecond-terahertz pulse induces a wound response in mouse skin.
Sex, Specimen part
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