3 research outputs found

    Reproductive Risk Factors for Breast Cancer: A Case Control Study

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    Background: Breast cancer is second most important cancer among Indian women. Although risk factors are not much prevalent as in western countries, incidence rate is increasing in India. The study was undertaken to study various risk factors associated with breast cancer. Methods: A hospital based group matched case control study was undertaken to identify risk factors. The study consisted of 105 hospitalized cases confirmed on histopathology and 210 group matched controls selected from urban field practice area, Sadar, without any malignancy. Bivariate analyses included odds ratio (OR), 95% confidence interval (CI) for odds ratio. Results: Earlier age at menarche ≤ 12 years of age, late age at first full term delivery, nulliparity, Lack of breast-feeding were found to be significantly associated with the risk of breast cancer in both pre menopausal & post menopausal women while age at menopause at or after 50 years was significantly associated with the risk in post menopausal women. Conclusions: Study suggests that the changes in menstrual and reproductive patterns among women i.e. early age at menarche and late age at first childbirth and some environmental factors in Central India may have contributed to the increase in breast cancer risk, particularly among younger women

    Reproductive Risk Factors for Breast Cancer: A Case Control Study

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    Background: Breast cancer is second most important cancer among Indian women. Although risk factors are not much prevalent as in western countries, incidence rate is increasing in India. The study was undertaken to study various risk factors associated with breast cancer. Methods: A hospital based group matched case control study was undertaken to identify risk factors. The study consisted of 105 hospitalized cases confirmed on histopathology and 210 group matched controls selected from urban field practice area, Sadar, without any malignancy. Bivariate analyses included odds ratio (OR), 95% confidence interval (CI) for odds ratio. Results: Earlier age at menarche ≤ 12 years of age, late age at first full term delivery, nulliparity, Lack of breast-feeding were found to be significantly associated with the risk of breast cancer in both pre menopausal & post menopausal women while age at menopause at or after 50 years was significantly associated with the risk in post menopausal women. Conclusions: Study suggests that the changes in menstrual and reproductive patterns among women i.e. early age at menarche and late age at first childbirth and some environmental factors in Central India may have contributed to the increase in breast cancer risk, particularly among younger women

    Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics of Immunosuppressants in Allogeneic Hematopoietic Cell Transplantation: Part II

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    Part I of this article included a pertinent review of allogeneic hematopoietic cell transplantation (alloHCT), the role of postgraft immunosuppression in alloHCT, and the pharmacokinetics, pharmacodynamics, and pharmacogenomics of the calcineurin inhibitors and methotrexate. In this article, part II, we review the pharmacokinetics, pharmacodynamics, and pharmacogenomics of mycophenolic acid (MPA), sirolimus, and the antithymocyte globulins (ATG). We then discuss target concentration intervention (TCI) of these postgraft immunosuppressants in alloHCT patients, with a focus on current evidence for TCI and on how TCI may improve clinical management in these patients. Currently, TCI using trough concentrations is conducted for sirolimus in alloHCT patients. There are several studies demonstrating that MPA plasma exposure is associated with clinical outcomes, with an increasing number of alloHCT patients needing TCI of MPA. Compared to MPA, there are fewer pharmacokinetic/dynamic studies of rabbit ATG and horse ATG in alloHCT patients. Future pharmacokinetic/dynamic research of postgraft immunosuppressants should include “–omics” based tools: pharmacogenomics may be used to gain an improved understanding of the covariates influencing pharmacokinetics and proteomics and metabolomics as novel methods to elucidate pharmacodynamic responses
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