Single-Cell Analysis of LAG3 Checkpoint Inhibition in Metastatic Uveal Melanoma

Abstract

The most common cause of death from cancer is spread or metastasis to vital organs. Uveal melanoma (UM) is a highly aggressive eye cancer that metastasizes in up to 50% of patients, with a strong predilection for the liver. UM has a tendency to undergo early micrometastasis prior to treatment of the primary tumor, with later development of overt metastatic disease.However, the molecular mechanisms by which UM metastasizes remain poorly understood, and there are no cancer drugs available that are effective in treating metastatic UM. The proposed DOD Melanoma Research Translational Research Award will provide for the analysis of correlative biomarkers, which will be important to gain as much insights as possible into the tumor microenvironment, tumor responsiveness, and therapeutic prevention. The overall objective of our UM research program is to improve patient survival rates by identifying effective therapies based on new mechanistic insights into the tumor microenvironment. Our preliminary results have identified pathways that are upregulated or downregulated after treatment and evaluation of these changes can inform future clinical interventions. Deeper data analysis is underway to better understand the impact of these changes. We anticipate that the results of this work will lead to a paradigm shift in the management of metastatic UM.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2022
Accession Number
AD1192031

Entities

People

  • Christina Decatur
  • James Dollar
  • Jose Lutzky

Organizations

  • University of Miami

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Antigens
  • Biomedical Research
  • Blood
  • Cancer
  • Cells
  • Clinical Trials
  • Data Analysis
  • Department Of Defense
  • Disease Attributes
  • Diseases
  • Gene Expression
  • Immunotherapy
  • Inhibition
  • Lymphocytes
  • Medical Personnel
  • Melanoma
  • Neoplasms
  • Rna Sequence Analysis
  • Survival
  • Therapy

Readers

  • Molecular and Cellular Biology
  • Oncology (Cancer Research).
  • Oncology and Biomarker-Based Cancer Detection.