Identification of Novel Biomarker Candidates for Early Detection of Melanoma

Presented At:
Cell Biology Virtual Event 2019

Presented By:
Margaret Hoang, PhD - Senior Scientist, Research & Development, NanoString Technologies, Inc.

Speaker Biography:
Dr. Margaret Hoang is a Senior Scientist and Next-Generation Sequencing (NGS) Technical Lead at Nanostring Technologies. She applies her expertise in Cancer Genomics and NGS in the development of the GeoMx Digital Spatial Profiler (DSP) sequencing readout capability. Prior to Nanostring, she was a Post-doctoral Fellow at Johns Hopkins School of Medicine characterizing mutational signatures induced by environmental mutagens in urothelial cancers. Margaret received her B.S. in Biochemistry from University of Washington and Ph.D. in Biology from Johns Hopkins University.

Co-Presented By:
Maija Kiuru, PhD - Assistant Professor of Clinical Dermatology and Pathology, UC Davis

Speaker Biography:
Dr. Maija Kiuru is a dual board-certified practicing dermatologist and dermatopathologist and a physician-scientist at University of California, Davis. Dr. Kiuru received her MD degree and PhD in medical genetics from the University of Helsinki, Finland. Her thesis on hereditary leiomyomatosis and renal cell cancer (HLRCC) established the association between aggressive renal cell carcinoma, uterine fibroids, and cutaneous leiomyomas and identified the predisposing germline mutation in FH gene. She continued her research training as a postdoctoral fellow at Weill Cornell Medical College and Columbia University in New York. This research culminated in the discovery of PLCD1 mutations in hereditary leukonychia, revealing a new gene in nail biology, and identifying novel stem cell therapies for hereditary skin blistering disorders. Dr. Kiuru received her clinical training in dermatology and dermatopathology at Weill Cornell Medical College and Memorial Sloan Kettering Cancer Center in New York.

Webinar:
Identification of Novel Biomarker Candidates for Early Detection of Melanoma

Webinar Abstract:
Early detection is critical for improved survival in melanoma. Melanocytic nevi are extremely common benign tumors that mimic melanoma and are therefore commonly biopsied. Currently, the detection of melanoma is based on histological examination; however, disagreement between pathologists occurs in up to 10-25% of cases. Yet many indeterminate tumors are characterized by low cellularity and purity posing challenges to the currently available molecular technologies. Therefore, spatial genomics technologies for the detection of melanoma are needed to address many of these challenges. This presentation discusses a spatially resolved multiplex RNA analysis of 1,412 genes using formalin-fixed paraffin-embedded melanocytic tumors with the GeoMx™ Digital Spatial Profiler*

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• Category

  Hereditary Leiomyomatosis and Renal Cell Cancer