This atlas illustrates the latest available data on the cancer epidemic, showing causes, stages of development, and prevalence rates of different types of cancers by gender, income group, and region. It also examines the cost of the disease, both in terms of health care and commercial interests, and the steps being taken to curb the epidemic, from research and screening to cancer management programs and health education.

Cancer is low or absent on the health agendas of low- and middle-income countries (LMCs) despite the fact that more people die from cancer in these countries than from AIDS and malaria combined. International health organizations, bilateral aid agencies, and major foundations—which are instrumental in setting health priorities—also have largely ignored cancer in these countries. This book identifies feasible, affordable steps for LMCs and their international partners to begin to reduce the cancer burden for current and future generations. Stemming the growth of cigarette smoking tops the list to prevent cancer and all the other major chronic diseases. Other priorities include infant vaccination against the hepatitis B virus to prevent liver cancers and vaccination to prevent cervical cancer. Developing and increasing capacity for cancer screening and treatment of highly curable cancers (including most childhood malignancies) can be accomplished using "resource-level appropriateness" as a guide. And there are ways to make inexpensive oral morphine available to ease the pain of the many who will still die from cancer.

Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision.

In Meeting Psychosocial Needs of Women with Breast Cancer, the National Cancer Policy Board of the Institute of Medicine examines the psychosocial consequences of the cancer experience. The book focuses specifically on breast cancer in women because this group has the largest survivor population (over 2 million) and this disease is the most extensively studied cancer from the standpoint of psychosocial effects. The book characterizes the psychosocial consequences of a diagnosis of breast cancer, describes psychosocial services and how they are delivered, and evaluates their effectiveness. It assesses the status of professional education and training and applied clinical and health services research and proposes policies to improve the quality of care and quality of life for women with breast cancer and their families. Because cancer of the breast is likely a good model for cancer at other sites, recommendations for this cancer should be applicable to the psychosocial care provided generally to individuals with cancer. For breast cancer, and indeed probably for any cancer, the report finds that psychosocial services can provide significant benefits in quality of life and success in coping with serious and life-threatening disease for patients and their families.