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Книги з теми "Mouse model and breast cancer"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

O'Connell, Fiona Claire. Morphology and gene expression in the postnatal mouse mammary gland. Dublin: University College Dublin, 1997.

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2

Rintala, Anne C. DNA repair in a radioresistant breast cancer model system. Sudbury, Ont: Laurentian University, 2000.

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3

Moelleken, Brent Roderick Wilfred. Tamoxifen - 5-fluorouracil synergy in human breast cancer cell lines: Correlating in vitro synergy with the current estrogen receptor model. [New Haven: s.n.], 1985.

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4

The mammary gland as an experimental model: A subject collection from Cold Spring Harbor perspectives in biology. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory Press, 2011.

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5

Kogan, Ilana. An in vivo model for PSA production by breast cancer cell-lines growing as xenografts in scid mice. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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6

Pearce, Andrews G. The generation and characterization of a radiation resistant model system to study radioresistance in human breast cancer cells. Sudbury, Ont: Laurentian University, Chemistry and Biochemistry Department, 2000.

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7

Cheung, Alison Min Yan. Characterization of the biological functions of breast cancer gene BRCA2 using conditionally-inactivated mouse models. 2003.

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8

Tamimi, Rulla, Susan Hankinson, and Pagona Lagiou. Breast Cancer. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190676827.003.0016.

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Most of the established reproductive risk factors for breast cancer, like age at menarche or parity, are not appropriate for public health intervention. Several lines of evidence, like the associations with birthweight and early exposure to radiation, support an important influence of early-life events on subsequent breast cancer risk. The best established modifiable risk factors for the disease include postmenopausal hormone use, moderate alcohol intake, and adult weight gain. More recently, we have come to appreciate that instead of a single disease, breast cancer is rather a heterogeneous group of subtypes with different etiologies. Yet the wealth of available epidemiologic information can be synthesized into a consistent and testable, albeit still hypothetical, causal model. With our increasing knowledge on the relation between endogenous hormones and breast cancer, and the development of selective estrogen receptor modulators, as well as aromatase inhibitors, chemoprevention will likely become more common in the future.

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9

Zai, Clement. Generation of a mouse model for colorectal cancer. 2004.

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10

Yin, Hong. Human Mouse Mammary Tumor Virus-Like Elements and Their Relation to Breast Cancer. Uppsala Universitet, 1999.

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11

Winebrenner, Jan, and James A. Davidson. In Touch With Your Breasts/Breast Self Exam Teaching Model Inside! WRS Group, 1994.

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12

Amlung, Stephanie Rockwern. A SECONDARY DATA ANALYSIS OF THE HEALTH BELIEF MODEL USING STRUCTURAL EQUATION MODELING (BREAST CANCER, LISREL). 1996.

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13

Visualizing Early-Stage Breast Cancer Tumors in a Mammographic Environment Through a 3-Dimensional Mathematical Model. Storming Media, 1999.

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14

Use of the Health Belief Model in determining mammography screening practice in older women. 1991.

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15

Zwieten, Matthew J. van. Rat As Animal Model in Breast Cancer Research: A Histopathological Study of Radiation- and Hormone-Induced Rat Mammary Tumors. Springer, 2012.

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16

Zwieten, Matthew J. van. Rat As Animal Model in Breast Cancer Research: A Histopathological Study of Radiation- and Hormone-Induced Rat Mammary Tumors. Springer, 2012.

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17

Douglass, Merrian Elizabeth. DIFFERENCES IN THE FREQUENCY OF USE OF BREAST CANCER CONTROL METHODS IN BLACK AND WHITE WOMEN: AN APPLICATION OF THE HEALTH BELIEF MODEL. 1991.

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18

Merl, Dan, Joseph Lucas, Joseph Nevins, Haige Shen, and Mike West. Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.6.

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This article focuses on the use of Bayesian concepts and methods in the trans-study projection of genomic biomarkers for the analysis of oncogene deregulation in breast cancer. The objective of the study is to determine the extent to which patterns of gene expression associated with experimentally induced oncogene pathway deregulation can be used to investigate oncogene pathway activity in real human cancers. This is often referred to as the in vitro to in vivo translation problem, which is addressed using Bayesian sparse factor regression analysis for model-based translation and refinement of in vitro generated signatures of oncogene pathway activity into the domain of human breast tumour tissue samples. The article first provides an overview of the role of oncogene pathway deregulation in human cancers before discussing the details of modelling and data analysis. It then considers the findings based on biological evaluation and Bayesian pathway annotation analysis.

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19

Lehmann, Vicky, and Marrit A. Tuinman. Body Image Issues Across Cancer Types. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190655617.003.0005.

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Abstract: This chapter provides a broad overview of body image challenges experienced by cancer patients and survivors, first focusing on patient characteristics and common treatment side effects that can affect body image and then summarizing findings specific to certain clusters of diagnoses. Research in the area of body image and cancer has largely focused on patients with breast cancer. A growing body of research also recognizes the negative impact of altered appearance and functioning on body image outcomes of patients with sexual organ-related, gastrointestinal, head and neck, skin, and other cancers. Body image is typically evaluated within the context of a single type of cancer and rarely compared across different types. This chapter proposes a visibility-stability model as a conceptual framework to facilitate understanding of the impact of cancer on body image across cancer types. This framework further considers functional body changes and survivors’ subjective evaluations as core components.

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20

Ohkawa, Reiko. Psycho-oncology: the sexuality of women and cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198749547.003.0011.

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Female patients undergoing treatment for cancer often experience significant changes in their sexuality due to the disease and its treatment. Sexuality relates to the sexual habits and desires of each individual. It varies according to age-related sexual needs. Many women with cancer consider their sexuality an important aspect of their lives. Yet, they may refrain from sex or enjoy it less following treatment, whether it be surgical or by irradiation, and accompanied by adjunctive chemotherapy or hormonal therapy. Chapter 11 discusses these issues, with a vignette illustrating the impact of an unexpected diagnosis of cancer. Multiple studies have examined sexual dysfunction following treatment of gynaecological cancers, including breast cancer, and several proposed solutions are available. However, the information has not been implemented by many health providers, and patients often experience anxiety and embarrassment when planning to discuss sexuality. The patients may be concerned that their sexual habits might interfere with the treatment outcome, and cause a recurrence of cancer. Reproductive dysfunction is only one of the manifold problems in the female undergoing cancer therapy. It can lead to infertility but certain treatment methods could help retain fertility. Ethical concerns pertaining to the preservation, and use of germ cells, need to be addressed. Ideally, a team of healthcare providers should handle sexual rehabilitation of the cancer survivor based on the patient's history. Unfamiliarity with such matters makes many medical professionals hesitant in discussing their patients' sexuality. The PLISSIT model can help initiate the assessment of sexual dysfunction in these patients.

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21

Woolf, Eric C., and Adrienne C. Scheck. Ketogenic Diet as Adjunctive Therapy for Malignant Brain Cancer. Edited by Jong M. Rho. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190497996.003.0013.

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Malignant brain tumors are devastating, and increased survival requires new therapeutic modalities. Metabolic dysregulation results in an increased need for glucose in tumor cells, suggesting that reduced tumor growth could be achieved with decreased glucose availability either through pharmacological means or use of a high-fat, low-carbohydrate ketogenic diet (KD). KD provides increased blood ketones to support energy needs of normal tissues and has been shown to reduce tumor growth, angiogenesis, inflammation, peritumoral edema, migration, and invasion. Furthermore, this diet can enhance the activity of radiation and chemotherapy in a mouse model of glioma, thus increasing survival. In vitro studies indicate that increasing ketones in the absence of glucose reduction can also inhibit cell growth and potentiate the effects of radiation. Thus, emerging data provide strong support for the use of KD in the treatment of malignant gliomas and thus far has led to a limited number of clinical trials.

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22

Rivard, Mark J., Luc Beaulieu, and Bruce Thomadsen. Clinical Brachytherapy Physics. Medical Physics Publishing, 2017. http://dx.doi.org/10.54947/9781936366576.

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Brachytherapy has been a popular topic for AAPM summer schools, with this marking the third time the subject has been covered (past schools on the topic were held in 1994 and 2005). This book was developed for the AAPM 2017 Summer School in Portland, Oregon, held in conjunction with the American Brachytherapy Association. From Joann Prisciandaro in Medical Physics…"Overall, this text is well written and provides a nice summary of current and developing clinical brachytherapy practice patterns. …from my perspective as a practicing brachytherapy physicist and educator, this text will make an extremely useful reference and will certainly be added to my list of required reading for residents and graduate students." This book is more than a comprehensive overview of the brachytherapy tools and techniques used in a modern clinic. The book also looks at numerous exciting approaches currently under development. Topics include HDR and LDR brachytherapy for the prostate, general planning and model-based dose calculation algorithms, intensity-modulated brachytherapy, electronic brachytherapy sources and techniques, and brachytherapy advances for treating skin, gynecological, and breast cancer. Some of the promising new techniques covered include focal therapy, the use of 3D printing to augment treatment, advances in needle tracking, in vivo dosimetry, and the use of robotics in brachytherapy.

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