Biologically accurate mouse models of human cancer have become important tools for the study of human disease. The anatomical location of various target organs, such as brain, pancreas, and prostate, ...makes determination of disease status difficult. Imaging modalities, such as magnetic resonance imaging, can greatly enhance diagnosis, and longitudinal imaging of tumor progression is an important source of experimental data. Even in models where the tumors arise in areas that permit visual determination of tumorigenesis, longitudinal anatomical and functional imaging can enhance the scope of studies by facilitating the assessment of biological alterations, (such as changes in angiogenesis, metabolism, cellular invasion) as well as tissue perfusion and diffusion. One of the challenges in preclinical imaging is the development of infrastructural platforms required for integrating in vivo imaging and therapeutic response data with ex vivo pathological and molecular data using a more systems-based multiscale modeling approach. Further challenges exist in integrating these data for computational modeling to better understand the pathobiology of cancer and to better affect its cure. We review the current applications of preclinical imaging and discuss the implications of applying functional imaging to visualize cancer progression and treatment. Finally, we provide new data from an ongoing preclinical drug study demonstrating how multiscale modeling can lead to a more comprehensive understanding of cancer biology and therapy.
Medulloblastoma (MB) is the most common malignant brain tumor of childhood, yet it makes up only 1% of adult brain tumors. MB is uniquely sensitive to chemotherapy and radiation, but successful ...surgical resection continues to be an important component of therapeutic success. Progress in the treatment of MB has occurred in multiple areas from improved neurosurgical techniques, refined dosing and delivery of radiation, and optimized chemotherapy. Tumors are currently risk-stratified as average risk or high risk depending on clinical factors such as age, extent of resection, and presence of metastases. Molecular biology is beginning to improve upon clinical prognostication and may soon provide the means to accurately predict response to therapy. Treatment for average-risk MB has achieved a level of success that allows efforts to be focused on the limitation of adverse treatment effects. Therapy for high-risk and relapsed MB has been positively affected by the advent of high-dose chemotherapy with stem cell rescue. In addition, molecular targets are being elucidated and new therapeutic agents are being tested for safety and efficacy. Treatment for this disease has evolved a great deal over the preceding decades, but a great deal of work remains to be done to effect reliable cures while reducing long-term sequelae of therapy.
HIC1 (hypermethylated in cancer 1) is a tumor suppressor gene located at chromosome 17p13.3, a region frequently hypermethylated or deleted in human tumors and in a contiguous-gene syndrome, the ...Miller-Dieker syndrome. HIC1 is a transcriptional repressor containing five Krüppel-like C(2)H(2) zinc fingers and an N-terminal dimerization and autonomous repression domain called BTB/POZ. Although some of the HIC1 transcriptional repression mechanisms have been recently deciphered, target genes are still to be discovered. In this study, we determined the consensus binding sequence for HIC1 and investigated its DNA binding properties. Using a selection and amplification of binding sites technique, we identified the sequence 5'-(C)/(G)NG(C)/(G)GGGCA(C)/(A) CC-3' as an optimal binding site. In silico and functional analyses fully validated this consensus and highlighted a GGCA core motif bound by zinc fingers 3 and 4. The BTB/POZ domain inhibits the binding of HIC1 to a single site but mediates cooperative binding to a probe containing five concatemerized binding sites, a property shared by other BTB/POZ proteins. Finally, full-length HIC1 proteins transiently expressed in RK13 cells and more importantly, endogenous HIC1 proteins from the DAOY medulloblastoma cell line, repress the transcription of a reporter gene through their direct binding to these sites, as confirmed by chromatin immunoprecipitation experiments. The definition of the HIC1-specific DNA binding sequence as well as the requirement for multiple sites for optimal binding of the full-length protein are mandatory prerequisites for the identification and analyses of bona fide HIC1 target genes.
Genomic characterization of medulloblastoma has improved molecular risk classification but struggles to define functional biological processes, particularly for the most aggressive subgroups. We ...present here a novel proteomic approach to this problem using a reference library of stable isotope labeled medulloblastoma-specific proteins as a spike-in standard for accurate quantification of the tumor proteome. Utilizing high-resolution mass spectrometry, we quantified the tumor proteome of group 3 medulloblastoma cells and demonstrate that high-risk MYC amplified tumors can be segregated based on protein expression patterns. We cross-validated the differentially expressed protein candidates using an independent transcriptomic data set and further confirmed them in a separate cohort of medulloblastoma tissue samples to identify the most robust proteogenomic differences. Interestingly, highly expressed proteins associated with MYC-amplified tumors were significantly related to glycolytic metabolic pathways via alternative splicing of pyruvate kinase (PKM) by heterogeneous ribonucleoproteins (HNRNPs). Furthermore, when maintained under hypoxic conditions, these MYC-amplified tumors demonstrated increased viability compared to non-amplified tumors within the same subgroup. Taken together, these findings highlight the power of proteomics as an integrative platform to help prioritize genetic and molecular drivers of cancer biology and behavior.
For the past two decades, staging studies have been used to stratify children with medulloblastoma into risk groups. Therapeutic approaches have been based on separation of patients into ...'average-risk' and 'poor-risk' categories. The extent of disease at diagnosis has been most reproducibly shown to be of prognostic significance, but age at diagnosis and amount of residual disease after surgery or extent of resection have also been commonly incorporated into stratification schemata. Tumor histology has been variably related to outcome. Biologic markers, especially molecular genetic findings, have not yet been incorporated into risk classifications, but will likely add to the understanding of medulloblastoma and may significantly alter concepts of staging and treatment.
Genomic studies of glioma sub-types have amassed new disease specific mutations, yet these only partially explain how mutations are linked to predisposition or progression. We hypothesized that ...microsatellite variation could expand the understanding of glioma etiology. Furthermore, germline markers for gliomas are typically undetectable; therefore we also hypothesize that the predictability of cancer-associated microsatellite loci in germline DNA may support the current hypothesis of a glioma cell of origin. In this study, "normal" germline exome sequenced DNA from the 1000 Genomes Project (n=390) were compared with exome sequences from germlines of subjects with WHO grade II and III lower-grade glioma (LGG, n=136) and WHO grade IV glioblastoma (GBM, n=252) from The Cancer Genome Atlas to identify microsatellite loci non-randomly associated with glioma. From germline data, we identified 48 GBM-specific loci, 42 Lower-grade glioma specific loci and 29 loci that distinguish GBM from LGG (p≤ 0.01). We then attempted to distinguish WHO grade II glioma (n=67) from GBM resulting in 8 informative loci. Significantly, in all glioma grades, comparisons between tumor and matched germline sequences demonstrated no significant differences in these variants (p≥ 0.01). Therefore, these microsatellite loci are considered to be components of grade-specific signatures for glioma which distinguish germline sequences of individuals with cancer from those of individuals that are "normal". In order to better understand the significance of these loci, we identified biological processes enriched in genes with these variants. Most strikingly, six helicase genes were enriched in the GBM cohort (p≤ 1.0 x10⁻³). The preservation of these glioma-specific loci could therefore serve as valuable diagnostic and therapeutic markers; especially since the heterogeneity of tumor cell populations can obscure the identification of mutations preceding a metastatic phenotype.
GOES-R series spacecraft feature a number of flexible appendages with modal frequencies below 3.0 Hz which, if excited by spacecraft disturbances, can be sources of undesirable jitter perturbing ...spacecraft pointing. To meet GOES-R pointing stability requirements, the spacecraft flight software implements an Active Vibration Damping (AVD) rate control law which acts in parallel with the nadir point attitude control law. The AVD controller commands spacecraft reaction wheel actuators based upon Inertial Measurement Unit (IMU) inputs to provide additional damping for spacecraft structural modes below 3.0 Hz which vary with solar wing angle. A GOES-R spacecraft dynamics and attitude control system identified model is constructed from pseudo-random reaction wheel torque commands and IMU angular rate response measurements occurring over a single orbit during spacecraft post-deployment activities. The identified Fourier model is computed on the ground, uplinked to the spacecraft flight computer, and the AVD controller filter coefficients are periodically computed on-board from the Fourier model. Consequently, the AVD controller formulation is based not upon pre-launch simulation model estimates but upon on-orbit nadir point attitude control and time-varying spacecraft dynamics. GOES-R high-fidelity time domain simulation results herein demonstrate the accuracy of the AVD identified Fourier model relative to the pre-launch spacecraft dynamics and control truth model. The AVD controller on-board the GOES-16 spacecraft achieves more than a ten-fold increase in structural mode damping for the fundamental solar wing mode while maintaining controller stability margins and ensuring that the nadir point attitude control bandwidth does not fall below 0.02 Hz. On-orbit GOES-16 spacecraft appendage modal frequencies and damping ratios are quantified based upon the AVD system identification, and the increase in modal damping provided by the AVD controller for each structural mode is presented. The GOES-16 spacecraft AVD controller frequency domain stability margins and nadir point attitude control bandwidth are presented along with on-orbit time domain disturbance response performance.
Medulloblastoma is the most common malignant brain tumor in children. Chromosome arm 17p13.3 is reduced to homozygosity in 35-50% of medulloblastomas,making it the most frequent genetic alteration in ...these tumors. HIC-1 (hypermethylated in cancer) is a putative tumor suppressor gene located in the area of common deletion. HIC-1 resides in a CpG island and is hypermethylated in many different tumor types. Therefore, we studied a series of tumor specimens for hypermethylation and deletion of the region containing the HIC-1 gene to determine whether these two mechanisms of gene inactivation play a complimentary role in medulloblastoma. Southern blotting was performed using the methylation-sensitive restriction endonuclease NotI. Methylation of NotI restriction sites located in HIC-1 was demonstrated in 26 (72%) of 36 tumors and 11 (92%) of 12 specimens of normal brain. Of these 26 tumors, 23 differed significantly from normal brain. A greater proportion of the cells from the tumors showed methylated alleles of the HIC-1 gene. A group of 15 (42%) of 36 tumors exhibited loss of heterozygosity (LOH) for DNA sequences located on chromosome arm 17p. There was no significant correlation between LOH and methylation status (P = 0.19). Methylation in tumors beyond that seen in normal brain predicted poor overall survival independent of clinical risk category (P = 0.014). The results of our study show that methylation of the CpG island that contains the HIC-1 gene is common in medulloblastoma and, together with LOH of 17p, may be a critical event in the formation and aggressiveness of this tumor.
MHC class I expression by cancer cells enables specific antigen recognition by the immune system and protection of the host. However, in some cancer types MHC class I expression is associated with an ...unfavorable outcome. We explored the basis of MHC class I association with unfavorable prognostic marker expression in the case of medulloblastoma.
We investigated expression of four essential components of MHC class I (heavy chain, beta2m, TAP1 and TAP2) in 10 medulloblastoma mRNA samples, a tissue microarray containing 139 medulloblastoma tissues and 3 medulloblastoma cell lines. Further, in medulloblastoma cell lines we evaluated the effects of HLA class I engagement on activation of ERK1/2 and migration in vitro.
The majority of specimens displayed undetectable or low levels of the heavy chains. Medulloblastomas expressing high levels of HLA class I displayed significantly higher levels of anaplasia and c-myc expression, markers of poor prognosis. Binding of beta2m or a specific antibody to open forms of HLA class I promoted phosphorylation of ERK1/2 in medulloblastoma cell line with high levels, but not in the cell line with low levels of HLA heavy chain. This treatment also promoted ERK1/2 activation dependent migration of medulloblastoma cells.
MHC class I expression in medulloblastoma is associated with anaplasia and c-myc expression, markers of poor prognosis. Peptide- and/or beta2m-free forms of MHC class I may contribute to a more malignant phenotype of medulloblastoma by modulating activation of signaling molecules such as ERK1/2 that stimulates cell mobility.
High grade glioma remains the most intractable childhood tumor of the central nervous system. The molecular genetics of childhood high grade glioma remain largely unknown in comparison to that of ...their adult counterparts. In an era of molecularly targeted therapies, this dearth of knowledge will present particular challenges to those who must design and implement the next generation of therapeutic trials with these new agents. In this review, we discuss the current understanding of the molecular genetics of childhood high grade glioma and compare/contrast it to that of the adult tumors bearing the same classification for the purpose of beginning to identify the most promising therapeutic targets.
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