What's New

Last Posted: Dec 11, 2020

• Hereditary melanoma: a five-year study of Brazilian patients in a cancer referral center - phenotypic characteristics of probands and pathological features of primary tumors.
  Sá Bianca Costa Soares de et al. Anais brasileiros de dermatologia 93(3) 337-340
• Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures.
  Almaraz-Damian Jose-Agustin et al. Entropy (Basel, Switzerland) 2020 Apr 22(4)
• Establishment of a Molecular Tumor Board (MTB) and Uptake of Recommendations in a Community Setting.
  VanderWalde Ari et al. Journal of personalized medicine 2020 Nov 10(4)
• TINF2 is a haploinsufficient tumor suppressor that limits telomere length.
  Schmutz Isabelle et al. eLife 2020 Dec 9
• PD-L1 Expression in 65 Conjunctival Melanomas and Its Association with Clinical Outcome.
  Lassalle Sandra et al. International journal of molecular sciences 2020 Nov 21(23)
• A genomic signature for accurate classification and prediction of clinical outcomes in cancer patients treated with immune checkpoint blockade immunotherapy.
  Lu Mei et al. Scientific reports 2020 Nov 10(1) 20575
• Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma.
  Johannet Paul et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2020 Nov
• Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.
  AlDubayan Saud H et al. JAMA 2020 Nov 324(19) 1957-1969
• Artificial intelligence for melanoma diagnosis: a review of published studies until 2020.
  Tschandl Philipp et al. Giornale italiano di dermatologia e venereologia : organo ufficiale, Societa italiana di dermatologia e sifilografia 2020 Nov
• Impact of Genetic Ancestry on Prognostic Biomarkers in Uveal Melanoma.
  Rodriguez Daniel A et al. Cancers 2020 Oct 12(11)
• Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study.
  Pérez Eduardo et al. Medical image analysis 2020 Oct 67101858
• Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images.
  Hu Jing et al. Translational oncology 2020 Oct 14(1) 100921
• Genetic Alterations in the INK4a/ARF Locus: Effects on Melanoma Development and Progression.
  Ming Zizhen et al. Biomolecules 2020 Oct 10(10)
• Identification of Germline Mutations in Melanoma Patients with Early Onset, Double Primary Tumors, or Family Cancer History by NGS Analysis of 217 Genes.
  Stolarova Lenka et al. Biomedicines 2020 Oct 8(10)
• Integrating the melanoma 31-gene expression profile test to surgical oncology practice within national guideline and staging recommendations.
  Hyams David M et al. Future oncology (London, England) 2020 Oct