Growth and development of body fat distribution from skinfold measurements: Longitudinal principal components

Longitudinal principal components analyses on a combination of four subcutaneous skinfolds (biceps, triceps, subscapular and suprailiac) were performed using data from the London Longitudinal Growth Study. The main objectives were to discover at what age during growth sex differences in body fat distribution occur and to see if there is continuity in body fatness and body fat distribution from childhood into the adult status (18 years). The analyses were done for four age sectors (3mon-3yrs, 3yrs-8yrs, 8yrs-18yrs and 3yrs-18yrs). Longitudinal principal component one (LPC1) for each age interval in both sexes represents the population mean fat curve. Component two (LPC2) is a velocity of fatness component. Component three (LPC3) in the 3mon-3yrs age sector represents infant fat wave in both sexes. In the next two age sectors component three in males represents peaks and shifts in fat growth (change in velocity), while in females it represents body fat distribution. Component four (LPC4) in the same two age sectors is a reversal in the sexes of the patterns seen for component three, i.e., in males it is body fat distribution and in females velocity shifts. Components five and above represent more complicated patterns of change (multiple increases and decreases across the age interval). In both sexes there is strong tracking in fatness from middle childhood to adolescence. In males only there is also a low to moderate tracking of infant fat with middle to late childhood fat. These data are strongly supported in the literature. Several factors are known to predict adult fatness among the most important being previous levels of fatness (at earlier ages) and the age at rebound. In addition we found that the velocity of fat change in middle childhood was highly predictive of later fatness (r $\approx -$0.7), even more so than age at rebound (r $\approx -$0.5). In contrast to fatness (LPC1), body fat distribution (LPC3-LPC4) did not track well even though significant components of body fat distribution occur at each age. Tracking of body fat distribution was higher in females than males. Sex differences in body fat distribution are non existent. Some sex differences are evident with the peripheral-to-central ratios after age 14 years. ^

The role of SRC family kinase activation in prostate cancer growth and lymph node metastasis

Aberrant expression and/or activation of Src Family of non-receptor protein tyrosine kinases (SFKs) occur frequently during progressive stages of multiple types of human malignancies, including prostate cancer. Two SFKs, Src and Lyn, are expressed and implicated in prostate cancer progression. Work in this dissertation investigated the specific roles of Src and Lyn in the prostate tumor progression, and the effects of SFK inhibition on prostate tumor growth and lymph node metastasis in pre-clinical mouse models. ^ Firstly, using a pharmacological inhibitor of SFKs in clinical trials, dasatinib, I demonstrated that SFK inhibition affects both cellular migration and proliferation in vitro. Systemic administration of dasatinib reduced primary tumor growth, as well as development of lymph node metastases, in both androgen-sensitive and -resistant orthotopic prostate cancer mouse models. Immunohistochemical analysis of the primary tumors revealed that dasatinib treatment decreased SFK phosphorylation but not expression, resulting in decreased cellular proliferation and increased apoptosis. For this analysis of immunohistochemical stained tissues, I developed a novel method of quantifying immunohistochemical stain intensity that greatly reduced the inherent bias in analyzing staining intensity. ^ To determine if Src and Lyn played overlapping or distinct roles in prostate cancer tumor growth and progression, Src expression alone was inhibited by small-interfering RNA. The resulting stable cell lines were decreased in migration, but not substantially affected in proliferation rates. In contrast, an analogous strategy targeting Lyn led to stable cell lines in which proliferation rates were significantly reduced. ^ Lastly, I tested the efficacy of a novel SFK inhibitor (KX2-391) targeting peptide substrate-binding domain, on prostate cancer growth and lymph node metastasis in vivo. I demonstrated that KX2-391 has similar effects as dasatinib, an ATP-competitive small molecular inhibitor, on both the primary tumor growth and development of lymph node metastasis in vivo, work that contributed to the first-in-man Phase I clinical trial of KX2-391. ^ In summary, studies in this dissertation provide the first demonstration that Src and Lyn activities affect different cellular functions required for prostate tumor growth and metastasis, and SFK inhibitors effectively reduce primary tumor growth and lymph node metastasis. Therefore, I conclude that SFKs are promising therapeutic targets for treatment of human prostate cancer. ^

Computer simulation of glioma growth and morphology.

Despite major advances in the study of glioma, the quantitative links between intra-tumor molecular/cellular properties, clinically observable properties such as morphology, and critical tumor behaviors such as growth and invasiveness remain unclear, hampering more effective coupling of tumor physical characteristics with implications for prognosis and therapy. Although molecular biology, histopathology, and radiological imaging are employed in this endeavor, studies are severely challenged by the multitude of different physical scales involved in tumor growth, i.e., from molecular nanoscale to cell microscale and finally to tissue centimeter scale. Consequently, it is often difficult to determine the underlying dynamics across dimensions. New techniques are needed to tackle these issues. Here, we address this multi-scalar problem by employing a novel predictive three-dimensional mathematical and computational model based on first-principle equations (conservation laws of physics) that describe mathematically the diffusion of cell substrates and other processes determining tumor mass growth and invasion. The model uses conserved variables to represent known determinants of glioma behavior, e.g., cell density and oxygen concentration, as well as biological functional relationships and parameters linking phenomena at different scales whose specific forms and values are hypothesized and calculated based on in vitro and in vivo experiments and from histopathology of tissue specimens from human gliomas. This model enables correlation of glioma morphology to tumor growth by quantifying interdependence of tumor mass on the microenvironment (e.g., hypoxia, tissue disruption) and on the cellular phenotypes (e.g., mitosis and apoptosis rates, cell adhesion strength). Once functional relationships between variables and associated parameter values have been informed, e.g., from histopathology or intra-operative analysis, this model can be used for disease diagnosis/prognosis, hypothesis testing, and to guide surgery and therapy. In particular, this tool identifies and quantifies the effects of vascularization and other cell-scale glioma morphological characteristics as predictors of tumor-scale growth and invasion.

Computer simulation of glioma growth and morphology.

Despite major advances in the study of glioma, the quantitative links between intra-tumor molecular/cellular properties, clinically observable properties such as morphology, and critical tumor behaviors such as growth and invasiveness remain unclear, hampering more effective coupling of tumor physical characteristics with implications for prognosis and therapy. Although molecular biology, histopathology, and radiological imaging are employed in this endeavor, studies are severely challenged by the multitude of different physical scales involved in tumor growth, i.e., from molecular nanoscale to cell microscale and finally to tissue centimeter scale. Consequently, it is often difficult to determine the underlying dynamics across dimensions. New techniques are needed to tackle these issues. Here, we address this multi-scalar problem by employing a novel predictive three-dimensional mathematical and computational model based on first-principle equations (conservation laws of physics) that describe mathematically the diffusion of cell substrates and other processes determining tumor mass growth and invasion. The model uses conserved variables to represent known determinants of glioma behavior, e.g., cell density and oxygen concentration, as well as biological functional relationships and parameters linking phenomena at different scales whose specific forms and values are hypothesized and calculated based on in vitro and in vivo experiments and from histopathology of tissue specimens from human gliomas. This model enables correlation of glioma morphology to tumor growth by quantifying interdependence of tumor mass on the microenvironment (e.g., hypoxia, tissue disruption) and on the cellular phenotypes (e.g., mitosis and apoptosis rates, cell adhesion strength). Once functional relationships between variables and associated parameter values have been informed, e.g., from histopathology or intra-operative analysis, this model can be used for disease diagnosis/prognosis, hypothesis testing, and to guide surgery and therapy. In particular, this tool identifies and quantifies the effects of vascularization and other cell-scale glioma morphological characteristics as predictors of tumor-scale growth and invasion.

CA125/MUC16 is dispensable for mouse development and reproduction.

Cancer antigen 125 (CA125) is a blood biomarker that is routinely used to monitor the progression of human epithelial ovarian cancer (EOC) and is encoded by MUC16, a member of the mucin gene family. The biological function of CA125/MUC16 and its potential role in EOC are poorly understood. Here we report the targeted disruption of the of the Muc16 gene in the mouse. To generate Muc16 knockout mice, 6.0 kb was deleted that included the majority of exon 3 and a portion of intron 3 and replaced with a lacZ reporter cassette. Loss of Muc16 protein expression suggests that Muc16 homozygous mutant mice are null mutants. Muc16 homozygous mutant mice are viable, fertile, and develop normally. Histological analysis shows that Muc16 homozygous mutant tissues are normal. By the age of 1 year, Muc16 homozygous mutant mice appear normal. Downregulation of transcripts from another mucin gene (Muc1) was detected in the Muc16 homozygous mutant uterus. Lack of any prominent abnormal phenotype in these Muc16 knockout mice suggests that CA125/MUC16 is not required for normal development or reproduction. These knockout mice provide a unique platform for future studies to identify the role of CA125/MUC16 in organ homeostasis and ovarian cancer.

Household Hardships, Public Programs, and Their Associations with the Health and Development of Very Young Children: Insights from Children’s HealthWatch

America’s low-income families struggle to protect their children from multiple threats to their health and growth. Many research and advocacy groups explore the health and educational effects of food insecurity, but less is known about these effects on very young children. Children’s HealthWatch, a group of pediatric clinicians and public health researchers, has continuously collected data on the effects of food insecurity alone and in conjunction with other household hardships since 1998. The group’s peer reviewed research has shown that a number of economic risks at the household level, including food, housing and energy insecurity, tend to be correlated. These insecurities alone or in conjunction increase the risk that a young child will suffer various negative health consequences, including increases in lifetime hospitalizations, parental report of fair or poor health,1 or risk for developmental delays.2 Child food insecurity is an incremental risk indicator above and beyond the risk imposed by household-level food insecurity. The Children’sHealthwatch research also suggests public benefits programs modify some of these effects for families experiencing hardships. This empirical evidence is presented in a variety of public venues outside the usual scientific settings, such as congressional hearings, to support the needs of America’s most vulnerable population through policy change. Children’s HealthWatch research supports legislative solutions to food insecurity, including sustained funding for public programs and re-evaluation of the use of the Thrifty Food Plan as the basis of SNAP benefits calculations. Children’s HealthWatch is one of many models to support the American Academy of Pediatrics’ call to “stand up, speak up, and step up for children.”3 No isolated group or single intervention will solve child poverty or multiple hardships. However, working collaboratively each group has a role to play in supporting the health and well-being of young children and their families. 1. Cook JT, Frank DA, Berkowitz C, et al. Food insecurity is associated with adverse health outcomes among human infants and toddlers. J Nutr. 2004;134:1432-1438. 2. Rose-Jacobs R, Black MM, Casey PH, et al. Household food insecurity: associations with at-risk infant and toddler development. Pediatrics. 2008;121:65-72. 3. AAP leader says to stand up, speak up, and step up for child health [news release]. Boston, MA: American Academy of Pediatrics; October 11, 2008. http://www2.aap.org/pressroom/nce/nce08childhealth.htm. Accessed January 1, 2012.

STAT3 activation by the ErbB2 receptor and development of peptide-based STAT3 inhibitors

Stats (s&barbelow;ignal t&barbelow;ransducer and a&barbelow;ctivator of t&barbelow;ranscription) are latent transcription factors that translocate from the cytoplasm to nucleus. Constitutive activation of Stat3α by upstream oncoproteins and receptor tyrosine kinases has been found in many human tumors and tumor-derived cell lines and it is often correlated with the activation of ErbB-2. In order to explore the involvement of ErbB-2 in the activation of Stat3 and the mechanisms underlying this event, an erbB-2 point mutant was used as a model of a constitutively activated receptor. Phenylalanine mutations (Y-F) were made in the receptor's autophosphorylation sites and their ability to activate Stat3α was evaluated. Our results suggest that Stat3α and Janus tyrosine kinase 2 associates with ErbB-2 prior to tyrosine phosphorylation of the receptor and that full activation of Stat3α by ErbB-2 requires the participation of other non-receptor tyrosine kinases. Both Src and Jak2 kinases contribute to the activation of Stat3α while only Src binds to ErbB-2 only when the receptor is tyrosine phosphorylated. Our results also suggest that tyrosine 1139 may be important for Src SH2 domain association since a mutant lacking this tyrosine reduces the ability of the Src SH2 domain to bind to ErbB-2 and significantly decreases its ability to activate Stat3α. ^ In order to disrupt aberrant STAT3α activation which contributes to tumorigenesis, we sought small molecules which can specifically bind to the STAT3 SH2 domain, thereby abolishing its ability of being recruited into receptors, and also blocking the dimer formation required for STAT3α activation. A phosphopeptide derived from gp130 was found to have a high affinity to STAT3 SH2 domain, and we decided to use this peptide as the base for further modifications. A series of peptide based compounds were designed and tested using electrophoretic mobility shift assay and fluorescence polarization assay to evaluate their affinity to the STAT3 SH2 domain. Two promising compounds, DRIV-73C and BisPOM, were used for blocking STAT3α activity in cell culture. Either can successfully impair STAT3α activation induced by IL-6 stimulation in HepG2 cells. BisPOM proved to be the more effective in blocking STAT3α tyrosine phosphorylation in induced cells and tumor cell lines, and was the more potent in inhibiting STAT3 dependent cell growth. ^

Design, Synthesis and Development of Transporter Targeting Agents for Image-guided Therapy and Drug Delivery

The purpose of this study was to design, synthesize and develop novel transporter targeting agents for image-guided therapy and drug delivery. Two novel agents, N4-guanine (N4amG) and glycopeptide (GP) were synthesized for tumor cell proliferation assessment and cancer theranostic platform, respectively. N4amG and GP were synthesized and radiolabeled with 99mTc and 68Ga. The chemical and radiochemical purities as well as radiochemical stabilities of radiolabeled N4amG and GP were tested. In vitro stability assessment showed both 99mTc-N4amG and 99mTc-GP were stable up to 6 hours, whereas 68Ga-GP was stable up to 2 hours. Cell culture studies confirmed radiolabeled N4amG and GP could penetrate the cell membrane through nucleoside transporters and amino acid transporters, respectively. Up to 40% of intracellular 99mTc-N4amG and 99mTc-GP was found within cell nucleus following 2 hours of incubation. Flow cytometry analysis revealed 99mTc-N4amG was a cell cycle S phase-specific agent. There was a significant difference of the uptake of 99mTc-GP between pre- and post- paclitaxel-treated cells, which suggests that 99mTc-GP may be useful in chemotherapy treatment monitoring. Moreover, radiolabeled N4amG and GP were tested in vivo using tumor-bearing animal models. 99mTc-N4amG showed an increase in tumor-to-muscle count density ratios up to 5 at 4 hour imaging. Both 99mTc-labeled agents showed decreased tumor uptake after paclitaxel treatment. Immunohistochemistry analysis demonstrated that the uptake of 99mTc-N4amG was correlated with Ki-67 expression. Both 99mTc-N4amG and 99mTc-GP could differentiate between tumor and inflammation in animal studies. Furthermore, 68Ga-GP was compared to 18F-FDG in rabbit PET imaging studies. 68Ga-GP had lower tumor standardized uptake values (SUV), but similar uptake dynamics, and different biodistribution compared with 18F-FDG. Finally, to demonstrate that GP can be a potential drug carrier for cancer theranostics, several drugs, including doxorubicin, were selected to be conjugated to GP. Imaging studies demonstrated that tumor uptake of GP-drug conjugates was increased as a function of time. GP-doxorubicin (GP-DOX) showed a slow-release pattern in in vitro cytotoxicity assay and exhibited anti-cancer efficacy with reduced toxicity in in vivo tumor growth delay study. In conclusion, both N4amG and GP are transporter-based targeting agents. Radiolabeled N4amG can be used for tumor cell proliferation assessment. GP is a potential agent for image-guided therapy and drug delivery.

Role and regulation of c-KIT gene expression in tumor growth and metastasis of human melanoma

The purpose of this study was to investigate the role of the c-KIT receptor in the progression of human melanoma and the mechanism(s) for the regulation of c-KIT gene expression in human melanoma.^ The molecular changes associated with the transition of melanoma cells from radial growth phase (RGP) to vertical growth phase (VGP) (metastatic phenotype) are not well-defined. Expression of the tyrosine-kinase receptor c-KIT progressively decreases during local tumor growth and invasion of human melanomas. To provide direct evidence that the metastasis of human melanoma is associated with the loss of c-KIT expression, highly metastatic A375SM cells, which express very low or undetectable levels of c-KIT, were tranduced with the human c-KIT gene. We demonstrated that enforced c-KIT expression in highly metastatic human melanoma cells significantly suppressed their tumorigenicity and metastatic propensity in nude mice. In addition, we showed that the ligand for c-KIT, SCF, induces apoptosis in human melanoma cells expressing c-KIT under both in vitro and in vivo conditions. These results suggest that loss of c-KIT receptor may allow malignant melanoma cells to escape SCF/c-KIT-mediated apoptosis, thus contributing to tumor growth and eventually metastasis.^ Furthermore, we investigated the possible mechanism(s) for the down-regulation of c-KIT gene expression in malignant melanoma. Sequence analysis of the c-KIT promoter indicated that this promoter contains several consensus binding-site sequences including three putative AP2 and two Myb sites. Although Myb was shown to be associated with c-KIT expression in human hemotopoietic cells, we found no correlation between c-KIT expression and Myb expression in human melanoma cell lines. In contrast, we showed that c-KIT expression directly correlates with expression of AP2 in human melanoma cells. We found that highly metastatic cells do not express the transcription factor AP2. Expression of AP2 in A375SM cells (c-KIT-negative and AP2-negative) was enough to restore luciferase activity driven by the c-KIT promoter in a dose-dependent manner. On the other hand, co-expression of the dominant-negative form of AP2 (AP2B) in Mel-501 cells (c-KIT-positive and AP2-positive) resulted in two-fold reduction in luciferase activity. Electrophoretic mobility shift assays revealed that the c-KIT promoter contains functional AP2 binding sites which could associate with AP2 protein. Endogenous c-KIT gene expression levels were elevated in AP2 stably-transfected human melanoma A375SM cells. Expression of exogenous AP2 in A375SM cells inhibited their tumorigenicity and metastatic potential in nude mice. The c-KIT ligand, SCF, also induced apoptosis in the AP2 stably-transfected A375SM cells. The identification of AP2 as an important regulator for c-KIT expression suggests that AP2 may have tumor growth and metastasis inhibitory properties, possibly mediated through c-KIT/SCF effects on apoptosis of human melanoma cells. Since AP2 binding sites were found in the promoters of other genes involved in the progression of human melanoma, such as MMP2 (72 kDa collagenase), MCAM/MUC18 and P21/WAF-1, our findings suggest that loss of AP2 expression might be a crucial event in the development of malignant melanoma. ^

Activation of c -Met contributes to growth and metastasis of human colorectal carcinoma

c-Met is the protein tyrosine kinase receptor for hepatocyte growth factor/scatter factor (HGF/SF) and mediates several normal cellular functions including proliferation, survival, and migration. Overexpression of c-Met correlates with progression and metastasis of human colorectal carcinoma (CRC). The goals of this study were to determine if overexpression of c-Met directly contributes to tumorigenicity and liver metastatic potential of colon cancer, and what are the critical pathways regulated by c-Met in this process. The studies used two colon tumor cell lines, KM12SM and KM20, which express high levels of constitutively active c-Met and are highly metastatic in nude mice. To examine the effects of c-Met overexpression, subclones of theses lines with reduced c-Met expression were obtained following transfection with a c-Met specific targeting ribozyme. Reduction of c-Met in KM12SM cells abolished liver metastases when cells were injected intrasplenically in an experimental metastasis assay. However, c-Met downregulation in theses clones was unstable. Three stable KM20 clones with a 25–35% reduction in c-Met protein levels but 60–90% reduction in basal c-Met autophosphorylation and kinase activity were obtained. While HGF increased c-Met kinase activity in the clones with reduced c-Met, the activity was less than that observed in parental or control transfected cells. Correlating with the reduction in c-Met kinase activity, subclones with reduced c-Met expression had significantly reduced in vitro growth rates, soft-agar colony forming abilities, and increased apoptosis. HGF/SF treatment did not affect anchorage-dependent growth or soft-agar colony forming abilities. Further, c-Met downregulation significantly impaired the ability of HGF/SF to induce migration. To examine the effects of reduced c-Met on tumor formation, parental and c-Met reduced KM20 cells were grown subcutaneously and intrahepatically in nude mice. c-Met downregulation delayed, but did not abolish growth at the subcutaneous site. When these cells were injected intrahepatically, both tumor incidences and size were significantly reduced. To further understand the molecular basis of c-Met in promoting tumor growth, the activation of several signaling intermediates that have been implicated in c-Met mediated growth, survival and migration were compared between KM20 parental cells and subclones with reduced c-Met expression levels. The expression and activity (as determined by phosphorylation) of AKT and Erk1/2 were unaltered. In contrast, Src kinase activity, as measured by immune complex kinase assay, was reduced 2–5 fold following c-Met downregulation. As Src has been implicated in growth, survival and migration, Src activation in c-Met overexpressing lines is likely contributing to the tumorigenic and metastatic capabilities of colon tumor cell lines that overexpress c-Met. Collectively, these results suggest that c-Met overexpression plays a causal role in the development of CRC liver metastases, and that c-Src and c-Met inhibitors may be of potential therapeutic benefit for late-stage colon cancer. ^