Marie Helvin said shared her feelings towards her ‘life-saving’ mastectomy.She was diagnosed with breastMarie admits her new breast will ‘never be perfect’ but it’s ‘beautiful because it saved my life’.
‘I had a vision, an idea of myself, I suppose, of how fit and healthy I was. As a model, my body was my instrument and I have always looked after it,’ she said.How should you check your breasts for lumps or irregularities? 'It’s about looking and feeling regularly so any changes can be spotted quickly,' she said. 'The sooner breast cancer is diagnosed, the more effective treatment may be.
'While most symptoms won't mean breast cancer, if you notice anything unusual for you get it checked out by your GP.breastcancernow.org.ukMarie continued to the Daily Mail: ‘I don’t drink, I don’t smoke, I exercise every day, so I guess it made me think that something like this could not happen to me because I didn’t fit the profile.The Tokyo-born star added that she should have known better, having been involved with many breast cancer awareness campaigns over the years.
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CanRisk-Prostate: A Comprehensive, Externally Validated Risk Model for the Prediction of Future Prostate Cancer | Journal of Clinical OncologyPURPOSE Prostate cancer (PCa) is highly heritable. No validated PCa risk model currently exists. We therefore sought to develop a genetic risk model that can provide personalized predicted PCa risks on the basis of known moderate- to high-risk pathogenic variants, low-risk common genetic variants, and explicit cancer family history, and to externally validate the model in an independent prospective cohort. MATERIALS AND METHODS We developed a risk model using a kin-cohort comprising individuals from 16,633 PCa families ascertained in the United Kingdom from 1993 to 2017 from the UK Genetic Prostate Cancer Study, and complex segregation analysis adjusting for ascertainment. The model was externally validated in 170,850 unaffected men (7,624 incident PCas) recruited from 2006 to 2010 to the independent UK Biobank prospective cohort study. RESULTS The most parsimonious model included the effects of pathogenic variants in BRCA2, HOXB13, and BRCA1, and a polygenic score on the basis of 268 common low-risk variants. Residual familial risk was modeled by a hypothetical recessively inherited variant and a polygenic component whose standard deviation decreased log-linearly with age. The model predicted familial risks that were consistent with those reported in previous observational studies. In the validation cohort, the model discriminated well between unaffected men and men with incident PCas within 5 years (C-index, 0.790; 95% CI, 0.783 to 0.797) and 10 years (C-index, 0.772; 95% CI, 0.768 to 0.777). The 50% of men with highest predicted risks captured 86.3% of PCa cases within 10 years. CONCLUSION To our knowledge, this is the first validated risk model offering personalized PCa risks. The model will assist in counseling men concerned about their risk and can facilitate future risk-stratified population screening approaches. physorg_com Cambridge_Uni 👍👍👍
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