Kettering University

About: Kettering University is a education organization based out in Flint, Michigan, United States. It is known for research contribution in the topics: Cancer & RNA. The organization has 6842 authors who have published 7689 publications receiving 337503 citations. The organization is also known as: GMI Engineering & Management Institute & General Motors Institute.

Decreased Growth of Established Human Prostate LNCaP Tumors in Nude Mice Fed a Low-Fat Diet

Abstract: Background : Geographic variation in the incidence of clinically detected prostate cancer is considerable, with a 120-fold greater incidence in the United States than in China The incidence of latent prostate cancer, however, shows little variation worldwide, with approximately 30% of men older than age 50 years having microfocal disease (determined by autopsy) Some epidemiologic studies have suggested that a high intake of dietary fat may constitute a risk factor for the development of advanced prostate cancer Purpose : We studied the influence of dietary fat content on the growth of tumors established in athymic nude mice with androgen-sensitive, human prostatic adenocarcinoma cells (LNCaP cells) We also investigated whether manipulation of dietary fat content altered prostate-specific antigen (PSA) production by these tumors Methods : Tumors were induced in nude mice by subcutaneous injection of 10 6 LNCaP cells Both the American Type Culture Collection (ATCC) LNCaP cell line and a more androgen-responsive subline derived from it (ie, the Harris LNCaP cell line) were used Mice were fed a 405-kcal% fat diet at the time of tumor cell injection Three weeks later, after measurable tumors were formed, the animals were assigned to receive diets with one of the following fat contents : 405, 308, 212, 116, or 23 kcal% fat Food intake, animal weights, and tumor volumes were recorded weekly ; serum PSA and testosterone levels were measured at the termination of the study Post hoc multiple comparisons were made using the Student-Newman-Keuls procedure Two-sided tests of statistical significance were used to evaluate pairwise comparisons Results : Tumor growth rates, final tumor weights, and ratios of final tumor weights to animal weights were substantially greater in groups that continued to receive a 405-kcal% fat diet than in groups whose diets were changed to 23 kcal%, 116 kcal%, or 212 kcal% fat (all P values <04) Comparison of these parameters among the 23-kcal%, 116-kcal%, and 212-kcal% dietary fat groups did not reveal any statistically significant differences No statistically significant differences were noted in total ingested calories, animal weight gain, serum testosterone levels, or histopathologic characteristics of the tumors among the tested dietary groups Serum PSA levels were highest in the 405-kcal% fat group and lowest in the 23-kcal% fat group (evaluated only for ATCC LNCaP cells ; P<05) Conclusions : Reduction of dietary fat substantially slows the growth of tumors established from human prostatic adenocarcinoma cells in a murine xenograft model A positive association persists between tumor volumes and serum PSA levels even after extreme modification of dietary fat content

Affinity-based proteomics reveal cancer-specific networks coordinated by Hsp90

Abstract: Most cancers are characterized by multiple molecular alterations, but identification of the key proteins involved in these signaling pathways is currently beyond reach. We show that the inhibitor PU-H71 preferentially targets tumor-enriched Hsp90 complexes and affinity captures Hsp90-dependent oncogenic client proteins. We have used PU-H71 affinity capture to design a proteomic approach that, when combined with bioinformatic pathway analysis, identifies dysregulated signaling networks and key oncoproteins in chronic myeloid leukemia. The identified interactome overlaps with the well-characterized altered proteome in this cancer, indicating that this method can provide global insights into the biology of individual tumors, including primary patient specimens. In addition, we show that this approach can be used to identify previously uncharacterized oncoproteins and mechanisms, potentially leading to new targeted therapies. We further show that the abundance of the PU-H71-enriched Hsp90 species, which is not dictated by Hsp90 expression alone, is predictive of the cell's sensitivity to Hsp90 inhibition.

Electromagnetic field theory fundamentals

Abstract: Preface 1. Electromagnetic field theory 2. Vector analysis 3. Electrostatics 4. Steady electrical currents 5. Magnetostatics 6. Applications of static fields 7. Time-varying electromagnetic fields 8. Plane wave propagation 9. Transmission lines 10. Waveguides and cavity resonators 11. Antennas 12. Computer-aided analysis of electromagnetic fields Appendix A. Smith chart and its applications Appendix B. Computer programs for various problems Appendix C. Useful mathematical tables Index.