Melanoma - Cancer PHGKB -

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Melanoma

- Cancer PHGKB -

What's New

Last Posted: Sep 05, 2019

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• Association of Germline Variants in Natural Killer Cells With Tumor Immune Microenvironment Subtypes, Tumor-Infiltrating Lymphocytes, Immunotherapy Response, Clinical Outcomes, and Cancer Risk. 
  Xu Xue et al. JAMA network open 2019 Sep 2(9) e199292
• Guidelines of care for the management of primary cutaneous melanoma. 
  Swetter Susan M et al. Journal of the American Academy of Dermatology 2019 80(1) 208-250
• Psychosocial and Cultural Determinants of Interest and Uptake of Skin Cancer Genetic Testing in Diverse Primary Care. 
  Hay Jennifer L et al. Public health genomics 2019 Aug 1-11
• Cancer Panel Assay for Precision Oncology Clinic: Results from a 1-Year Study. 
  Kwon Dohee et al. Translational oncology 2019 Aug 12(11) 1488-1495
• A clinical guide to hereditary cancer panel testing: evaluation of gene-specific cancer associations and sensitivity of genetic testing criteria in a cohort of 165,000 high-risk patients. 
  LaDuca Holly et al. Genetics in medicine : official journal of the American College of Medical Genetics 2019 Aug
• Whole-body magnetic resonance imaging (WB-MRI) in oncology: recommendations and key uses. 
  Petralia Giuseppe et al. La Radiologia medica 2019 Mar 124(3) 218-233
• From validity to clinical utility: the influence of circulating tumor DNA on melanoma patient management in a real-world setting. 
  Rowe Steven P et al. Molecular oncology 2018 12(10) 1661-1672
• Benefits, harms and cost-effectiveness of cancer screening in Australia: an overview of modelling estimates. 
  Lew Jie-Bin et al. Public health research & practice 2019 Jul 29(2)
• Cancer screening in Australia: future directions in melanoma, Lynch syndrome, and liver, lung and prostate cancers. 
  Weber Marianne F et al. Public health research & practice 2019 Jul 29(2)
• Five-Year Outcomes with Dabrafenib plus Trametinib in Metastatic Melanoma. 
  Robert Caroline et al. The New England journal of medicine 2019 Aug 381(7) 626-636
• Deep neural networks are superior to dermatologists in melanoma image classification. 
  Brinker Titus J et al. European journal of cancer (Oxford, England : 1990) 2019 Aug 11911-17
• Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective data. 
  Sondermann Wiebke et al. European journal of cancer (Oxford, England : 1990) 2019 Aug 11930-34
• Brief Report: Prevalence and Preliminary Validation of Screening Criteria to Identify Carriers of Germline BAP1 Mutations. 
  Zauderer Marjorie G et al. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2019 Jul
• Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images. 
  Hekler Achim et al. European journal of cancer (Oxford, England : 1990) 2019 Jul 11891-96
• The "-OMICS" facet of melanoma: Heterogeneity of genomic, proteomic and metabolomic biomarkers. 
  Donnelly Douglas et al. Seminars in cancer biology 2019 Jul