Duke genome breast subgroups

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Researchers studying Alzheimer's disease have created an approach to classify patients with Alzheimer's disease, a finding that may open the door for personalized treatments. The researchers put 4, people with late-onset Alzheimer's disease into six groups based on their cognitive functioning at the time of diagnosis and then used genetic data to find biological differences across these groups. Identification of cognitive subgroups related to genetic differences is an important step toward developing a precision medicine approach for Alzheimer's disease.

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Following their identification of several protein-signaling pathways active in breast tissue of women at risk for cancer, Duke researchers have now found that the precancerous cells of these women show evidence of the Warburg effect — increased glucose intake and insulin signaling that is a hallmark of late-stage, aggressive disease. This pattern was something the group hypothesized as a likely result of the protein activation patterns they had identified in earlier studies. Because the Warburg effect is a known hallmark of established aggressive triple-negative breast cancer, the researchers, led by Victoria Seewaldt, director of the prevention program at the Duke University Comprehensive Cancer Center, consider it likely that measuring the effect and its associated signaling proteins in precancerous tissue could be a method of early diagnosis or monitoring.

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Breast Cancer Research. AugustR55 Cite as. Perhaps the major challenge in developing more effective therapeutic strategies for the treatment of breast cancer patients is confronting the heterogeneity of the disease, recognizing that breast cancer is not one disease but multiple disorders with distinct underlying mechanisms.

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Metrics details. Recent advances in whole-genome technologies have supplied the field of cancer research with an overwhelming amount of molecular data. Improvements in massively parallel sequencing approaches have led to logarithmic decreases in costs, and so these methods are becoming almost commonplace in the analysis of clinical trials and other cohorts of interest.

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The findings, appearing online in the Proceedings of the National Academy of Sciencesshow that breast cancer is a much more complicated disease than had been thought. They also provide a new framework for better understanding the biology of breast cancer and choosing the treatments to fight it. Until recently, physicians relied upon characteristics such as the size of the tumor, stage of disease, hormone sensitivity and HER2 status to classify breast cancers.

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Recent genome-wide association studies Lee et al. While there has been considerable discussion in policy circles and the media about the ethics of gene editing, the implications of genetic prediction for behavioral and cognitive traits have received less attention. There is an urgent need to consider whether and how the findings from these studies should be applied in public policy.

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Numerous recent studies have demonstrated the use of genomic data, particularly gene expression signatures, as clinical prognostic factors in cancer and other complex diseases. Such studies herald the future of genomic medicine and the opportunity for personalized prognosis in a variety of clinical contexts that utilizes genome-scale molecular information. The scale, complexity, and information content of high-throughput gene expression data, as one example of complex genomic information, is often under-appreciated as many analyses continue to focus on defining individual rather than multiplex biomarkers for patient stratification.

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Dinan is a health services researcher with a focus on emerging medical technology in cancer. Dinan has expertise in both secondary data analysis and clinical registry methodologies. Home Members Michaela Dinan. Overview: Dr.

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An international research collaboration has found five new regions of the human genome that are linked to increased risks for developing ovarian cancer. Duke Medicine researchers played a leading role analyzing genetic information from more than 40, women. The findings are published in four studies, two appearing in the journal Nature Communications and two in Nature Genetics on March 27, The research is being published as part of a coordinated release of new data from the Collaborative Oncological Gene-environment Study COGSan international effort to identify genetic variations that make certain people susceptible to developing breast, prostate and ovarian cancers.

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