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Kent W Hunter

Publications and source records attributed to Kent W Hunter.

At least 19 recordsLinked to original sources
PubMed2025

Investigating the genomic landscape of mouse models of breast cancer metastasis.

Metastasis remains a major cause of cancer mortality. AbstractThis study, expanding upon previous findings in the MMTV-PyMT model, investigated four independent mouse models, representing luminal (MMTV-PyMT, MMTV-Myc), HER2-amplified (MMTV-Her2) and triple negative (C3(1)TAg) breast cancer subtypes. Consistent with previous results, limited evidence for metastasis-associated somatic point mutations was found for all models. We also found that oncogenic drivers significantly influenced the number and size of metastasis-specific copy number variations (MSCNVs), but common driver-independent MSCNVs were rare. Furthermore, analyzing a cohort with varying genetic backgrounds while maintaining a constant oncogenic driver (PyMT) revealed that genetic background profoundly impacts MSCNVs. Transcriptome analysis demonstrated that oncogenic drivers strongly shaped metastasis-specific gene expression (MSGE), with each driver exhibiting distinct expression profiles. In contrast, MSGE in the PyMT-F1 cohort was more variable across strains. Despite the diversity of MSCNV and MSGE, functional analysis revealed that both mechanisms converge on the modulation of key cellular processes, including immune responses, metabolism, and extracellular matrix interactions. These findings emphasize the complex interplay between oncogenic drivers and genetic background in shaping the genomic and transcriptional landscapes of metastatic lesions.

Journal Article↗
PubMed2006

New perspectives on hereditary influences in metastatic progression.

Metastasis, the process by which cancer cells spread to distant sites and form secondary tumors, depends upon the ability of cells to escape the primary tumor, and colonize and proliferate in a novel microenvironment. Many mechanisms have been proposed to explain this phenomenon although no theory has comprehensively explained all biological observations. There is growing evidence that host hereditary factors modulate the ability of tumor cells to form metastatic lesions, and host genetic polymorphism could be a significant variable in this process. This review is intended to illustrate the role of hereditary variation in metastatic progression, how this integrates with currently proposed metastatic mechanisms, and the potential clinical impact on this frequently fatal consequence of cancer.

Animals↗
PubMed2006

Germline polymorphisms in SIPA1 are associated with metastasis and other indicators of poor prognosis in breast cancer.

INTRODUCTION: There is growing evidence that heritable genetic variation modulates metastatic efficiency. Our previous work using a mouse mammary tumor model has shown that metastatic efficiency is modulated by the GTPase-activating protein encoded by Sipa1 ('signal-induced proliferation-associated gene 1'). The aim of this study was to determine whether single nucleotide polymorphisms (SNPs) within the human SIPA1 gene are associated with metastasis and other disease characteristics in breast cancer. METHOD: The study population (n = 300) consisted of randomly selected non-Hispanic Caucasian breast cancer patients identified from a larger population-based series. Genomic DNA was extracted from peripheral leukocytes. Three previously described SNPs within SIPA1 (one within the promoter [-313G>A] and two exonic [545C>T and 2760G>A]) were characterized using SNP-specific PCR. RESULTS: The variant 2760G>A and the -313G>A allele were associated with lymph node involvement (P = 0.0062 and P = 0.0083, respectively), and the variant 545C>T was associated with estrogen receptor negative tumors (P = 0.0012) and with progesterone negative tumors (P = 0.0339). Associations were identified between haplotypes defined by the three SNPs and disease progression. Haplotype 3 defined by variants -313G>A and 2760G>A was associated with positive lymph node involvement (P = 0.0051), and haplotype 4 defined by variant 545C>T was associated with estrogen receptor and progesterone receptor negative status (P = 0.0053 and P = 0.0199, respectively). CONCLUSION: Our findings imply that SIPA1 germline polymorphisms are associated with aggressive disease behavior in the cohort examined. If these results hold true in other populations, then knowledge of SIPA1 SNP genotypes could potentially enhance current staging protocols.

Abortion, Spontaneous↗
PubMed2006

Metastasis predictive signature profiles pre-exist in normal tissues.

Previous studies from our laboratory have demonstrated that metastatic propensity is significantly influenced by the genetic background upon which tumors arise. We have also established that human gene expression profiles predictive of metastasis are not only present in mouse tumors with both high and low metastatic capacity, but also correlate with genetic background. These results suggest that human metastasis-predictive gene expression signatures may be significantly driven by genetic background, rather than acquired somatic mutations. To test this hypothesis, gene expression profiling was performed on inbred mouse strains with significantly different metastatic efficiencies. Analysis of previously described human metastasis signature gene expression patterns in normal tissues permitted accurate categorization of high or low metastatic mouse genotypes. Furthermore, prospective identification of animals at high risk of metastasis was achieved by using mass spectrometry to characterize salivary peptide polymorphisms in a genetically heterogeneous population. These results strongly support the role of constitutional genetic variation in modulation of metastatic efficiency and suggest that predictive signature profiles could be developed from normal tissues in humans. The ability to identify those individuals at high risk of disseminated disease at the time of clinical manifestation of a primary cancer could have a significant impact on cancer management.

Animals↗
PubMed2006

Germ line polymorphism in metastatic progression.

Somatic genetic analysis of tumors and metastases has yielded a plethora of information regarding genes associated with cancer progression. However, somatic alterations in tumor cells are only one source of variability. Genetic polymorphism may also play a significant role in person-to-person variability in metastasis frequency, raising the intriguing possibility that some individuals could be predisposed to secondary tumor development. The identification and characterization of these polymorphisms may have significant implications for the development of tailored treatment or prevention of recurrent disease.

Disease Progression↗
PubMed2006

Parallel analysis of transcript and translation profiles: identification of metastasis-related signal pathways differentially regulated by drug and genetic modifications.

Tumor metastasis is a complex multistep process normally involving dysregulation of multiple signal transduction pathways. In this study, we developed a novel approach to efficiently define dysreguated pathways associated with metastasis by comparing global gene and protein expressions of two distinct metastasis-suppressed models. Consequently, we identified common features shared by the two models which are potentially associated with metastasis. The efficiency of metastasis from the highly aggressive polyoma middle T-induced mouse mammary tumors was suppressed by either prolonged caffeine exposure or by breeding the animal to a low metastatic mouse strain. Molecular profiles of the primary tumors from both metastasis-suppressed classes were then derived to identify molecules and pathways that might underlie a common mechanism of metastasis. A number of differentially regulated genes and proteins were identified, including genes encoding basement membrane components, which were inversely related to metastatic efficiency. In addition, the analysis revealed that the Stat signal transduction pathways were potentially associated with metastasis inhibition, as demonstrated by enhanced Stat1 activation, and decreased Stat5 phosphorylation in both genetic and pharmacological modification models. Tumor cells of low-metastatic genotypes also demonstrated anti-apoptotic properties. The common changes of these pathways in all of the metastasis-suppressed systems suggest that they may be critical components in the metastatic cascade, at least in this model system. Our data demonstrate that analysis of common changes in genes and proteins in a metastatic-related context greatly decrease the complexity of data analysis, and may serve as a screening tool to identify biological important factors from large scale data.

Animals↗
PubMed2005

Sipa1 is a candidate for underlying the metastasis efficiency modifier locus Mtes1.

We previously identified loci in the mouse genome that substantially influence the metastatic efficiency of mammary tumors. Here, we present data supporting the idea that the signal transduction molecule, Sipa1, is a candidate for underlying the metastasis efficiency modifier locus Mtes1. Analysis of candidate genes identified a nonsynonymous amino acid polymorphism in Sipa1 that affects the Sipa1 Rap-GAP function. Spontaneous metastasis assays using cells ectopically expressing Sipa1 or cells with knocked-down Sipa1 expression showed that metastatic capacity was correlated with cellular Sipa1 levels. We examined human expression data and found that they were consistent with the idea that Sipa1 concentration has a role in metastasis. Taken together, these data suggest that the Sipa1 polymorphism is one of the genetic polymorphisms underlying the Mtes1 locus. This report is also the first demonstration, to our knowledge, of a constitutional genetic polymorphism affecting tumor metastasis.

Animals↗
PubMed2005

Modifiers of mammary tumor progression and metastasis on mouse chromosomes 7, 9, and 17.

Tumor progression, the growth and dissemination of primary tumor to secondary sites, is of critical clinical importance since the vast majority of patients succumb to metastatic disease rather than to the primary tumor. Many factors are likely to influence this process, including the primary oncogenic events, environmental exposures and stress and progressive stochastic mutations. Previously, our laboratory demonstrated that an additional factor, the genetic background on which tumors arose, had a significant effect on metastatic efficiency. Using a highly metastatic transgene-induced mammary tumor model, a locus modulating metastatic efficiency, Mtes1, was localized on proximal mouse Chromosome 19. In addition, a number of additional suggestive loci were observed on several other chromosomes. To confirm the presence of these additional loci before initiating cloning strategies, chromosomal substitution strains have been constructed and assayed for modification of the cancer phenotypes. Using the chromosomal substitution strains, an additional modifier modulating tumor latency was confirmed, as well as three new modifier genes that alter the kinetics of tumor progression. Identification and analysis of these loci will likely present interesting and novel information about cancer heterogeneity in the human population.

Animals↗
PubMed2005

Syngeneic mouse mammary carcinoma cell lines: two closely related cell lines with divergent metastatic behavior.

Two cell lines, Met-1(fvb2) and DB-7(fvb2), with different metastatic potential, were derived from mammary carcinomas in FVB/N-Tg(MMTV-PyVmT) and FVB/N-Tg(MMTV-PyVmT ( Y315F/Y322F )) mice, transplanted into syngeneic FVB/N hosts and characterized. The lines maintain a stable morphological and biological phenotype after multiple rounds of in vitro culture and in vivo transplantation. The Met-1(fvb2) line derived from a FVB/N-Tg(MMTV-PyVmT) tumor exhibits invasive growth and 100% metastases when transplanted into the females FVB/N mammary fat pad. The DB-7(fvb2) line derived from the FVB/N-Tg(MMTV-PyVmT ( Y315F/Y322F )) with a "double base" modification at Y315F/Y322F exhibits more rapid growth when transplanted into the mammary fat pad, but a lower rate of metastasis (17%). The Met1(fvb2) cells show high activation of AKT, while DB-7(fvb2) cells show very low levels of AKT activation. The DNA content and gene expression levels of both cell lines are stable over multiple generations. Therefore, these two cell lines provide a stable, reproducible resource for the study of metastasis modulators, AKT molecular pathway interactions, and gene target and marker discovery.

Animals↗
PubMed2005

A high-resolution multistrain haplotype analysis of laboratory mouse genome reveals three distinctive genetic variation patterns.

Understanding of the structure and the origin of genetic variation patterns in the laboratory inbred mouse provides insight into the utility of the mouse model for studying human complex diseases and strategies for disease gene mapping. In order to address this issue, we have constructed a multistrain, high-resolution haplotype map for the 99-Mb mouse Chromosome 16 using approximately 70,000 single nucleotide polymorphism (SNP) markers derived from whole-genome shotgun sequencing of five laboratory inbred strains. We discovered that large polymorphic blocks (i.e., regions where only two haplotypes, thus one SNP conformation, are found in the five strains), large monomorphic blocks (i.e., regions where the five strains share the same haplotype), and fragmented blocks (i.e., regions of greater complexity not resembling at all the first two categories) span 50%, 18%, and 32% of the chromosome, respectively. The haplotype map has 98% accuracy in predicting mouse genotypes in two other studies. Its predictions are also confirmed by experimental results obtained from resequencing of 40-kb genomic sequences at 21 distinct genomic loci in 13 laboratory inbred strains and 12 wild-derived strains. We demonstrate that historic recombination, intra-subspecies variations and inter-subspecies variations have all contributed to the formation of the three distinctive genetic signatures. The results suggest that the controlled complexity of the laboratory inbred strains may provide a means for uncovering the biological factors that have shaped genetic variation patterns.

Alleles↗
PubMed2004

Global expression profiling identifies signatures of tumor virulence in MMTV-PyMT-transgenic mice: correlation to human disease.

FVB/N-Tg (MMTV-PyMT)(634Mul)-transgenic mice develop multifocal mammary tumors with a high incidence of pulmonary metastasis. We have demonstrated previously that mammary tumors derived from transgene-positive F1 progeny in particular inbred strains display altered latency, tumor growth rates, and metastatic rates when compared with the FVB/NJ homozygous parent. To identify genes with expression that might be critical in modifying the biological behavior of MMTV-PyMT tumors, we performed a detailed comparative analysis of expression profiles from mammary tumors arising in the parental FVB/NJ background and F1 progeny from crosses with I/LnJ, LP/J, MOLF/Ei, and NZB/B1NJ mice. Compared with normal mammary glands, gene expression profiles of tumors from all five strains exhibited up-regulation of genes involved in cell growth (e.g., Cks1 and CDC25C) and down-regulation of cell adhesion molecules, with many genes associated previously with human breast cancer such as STAT2, CD24 antigen, gelsolin, and lipocalin2. To identify genes with significant variation in expression between the five different genotypes, significance analysis of microarrays (SAM) and one-way ANOVA were used. Three definable groupings of tumors were identified: (a) tumors derived in the LP/J F1 and MOLF/Ei F1 strains in which tumor growth and dissemination are suppressed and latency prolonged; (b) the most aggressive tumors from the FVB/NJ parental strain and I/LnJ F1 genomic backgrounds; and (c) an intermediate virulence phenotype with tumors from NZB/B1NJ-F1 crosses. These array based assessments correlated well with a composite phenotype ranking using a "virulence" index. The gene expression signature that is associated with a high metastatic rate in the mouse contains the same 17 genes described recently as the signature gene set predictive of metastasis in human tumors (1) with 16 of the 17 genes exhibiting the same directional change in expression associated with human metastases. These results demonstrate that the genetic analysis of mouse models of tumorigenesis may be highly relevant to human cancer and that the metastatic phenotype of a tumor may be affected by the germline genetic configuration of the host.

Animals↗
PubMed2004

Ezrin, a key component in tumor metastasis.

Identification of the key regulatory molecules in metastasis is crucial for understanding tumor dissemination and for the development of novel interventions. The recent identification of ezrin as a necessary component in the metastasis of osteosarcoma and rhabdomyosarcoma is, therefore, an important advance. Ezrin has been implicated in many roles, for example, as a conduit for signals between metastasis-associated cell-surface molecules and signal transduction components. This suggests that ezrin and, potentially, other members of the ERM (ezrin-radixin-moesin) family have key roles in the coordination of signals and cellular complexes that are required for the successful metastasis of these and other malignancies.

Animals↗
PubMed2003

Allelic diversity in the host genetic background may be an important determinant in tumor metastatic dissemination.

Metastasis, the spread and growth of tumors at secondary sites, is an extremely important clinical event, since the majority of cancer mortality is associated with the metastatic tumors rather than the primary tumor. In spite of the importance of metastasis in the clinical setting, the actual process is extremely inefficient. Millions of tumor cells can be shed into the vasculature daily yet few secondary tumors are formed. To successfully colonize a distant site tumor cells must overcome a series of barriers. Failure to complete any single step in the metastatic cascade abrogates the ability to form a secondary lesion. A variety of theories have been proposed to explain the inefficiency of the metastatic process. The most commonly accepted, the progression theory, posits a series of random mutational occurs within a primary tumor to generate a small subpopulation that acquires full metastatic capability. While significant evidence supports this model, recent discoveries demonstrating the ability to predict metastatic propensity from gene expression profiles in bulk tumor tissue are not consistent with only a small subpopulation of cells in the primary tumor acquiring metastatic ability. A second theory of metastatic inefficiency, the transient compartment theory, is more consistent with the microarray data, but does not completely explain observations like metastasis associated loss-of-heterozygosity events. To reconcile the observed results additional variables need to be added to the model of metastatic inefficiency. One possible variable that might explain the discrepancies is genetic background effects. Studies have demonstrated that the genetic background a tumor arises on can have significant affects on the ability of the tumor to metastasize and on gene expression profiles. Thus the observations could be reconciled by combining the theories, with genetic background influencing both metastatic efficiency and predictive gene expression profiles, upon which subsequently occur metastasis-promoting mutational and epigenetic events. If the genetic background is an important determinant of metastatic efficiency it would have significant implications for the clinical prediction and treatment of metastatic disease, as well as for the design of potential prevention strategies.

Animals↗
PubMed2003

Multiple cross and inbred strain haplotype mapping of complex-trait candidate genes.

Identifying complex-trait candidate genes after initial low-resolution mapping has proven to be a difficult and labor-intensive undertaking, usually requiring years to develop and analyze congenic strains. As a result, to date, few complex-trait genes have been discovered. Recently it was suggested that SNP haplotype analysis in inbred strains might be useful for mapping of complex traits. In this study, we have combined medium-resolution haplotype mapping with multiple experimental cross-mapping experiments to reduce the number of potential candidate genes in a complex-trait candidate interval. Coincident mapping of a modifier gene in multiple experimental crosses using different inbred strains is consistent with the common inheritance of a modifier allele. A haplotype map was developed in four inbred strains of mice used in our complex-trait mapping crosses across the proximal 10 cM of proximal Chromosome 19 to identify haplotype blocks that segregate appropriately. Only ~23 out of >400 genes met this criteria. This strategy coupled with tissue and expression arrays, as well as our recently described common pathway analysis to reduce the number of high-priority candidates, may provide a rapid, efficient method to identify and prioritize complex-trait candidate genes without requiring construction of congenic mouse strains.

Animals↗