A Fundamental Theory for Dexterous Surgical Skills Transfer to Medical Robots

Abstract

Chronic diseases like cancers that evade the immune system continue to impact the lives of millions of patients worldwide causing high morbidity and mortality as well as significant economic burden. It is now evident that in melanoma tumors, persisting antigen results in the development of dysfunctional or exhausted anti-tumor T cells (Texs). Continuous TCR stimulation and multiple suppressive mechanisms limit effector T cell functions, including high expression and signaling of multiple inhibitory receptors (e.g., PD-1, CTLA- 4, Lag3, Tim3) including PSGL-1 (P-selectin glycoprotein ligand-1), which we identified. Therapeutic success targeting these inhibitory checkpoints (PD-1/PDL-1 and CTLA-4) using blocking antibodies can reinvigorate Texs and improve pathogen and tumor control in mice and patients. These drugs are now standard treatment for melanoma, but at present are only effective in a subset of patients, highlighting the need to identify additional inhibitory pathways that can be targeted to improve patient outcomes. Our purpose is to understand when PSGL-1 signaling is required to establish T cell exhaustion and in what cell types PSGL-1 contributes to inhibition of T cell function. We will also understand whether PSGL-1 can be targeted to reverse T cell exhaustion to promote tumor control.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2022
Accession Number
AD1191522

Entities

People

  • Juan Pablo Wachs

Organizations

  • Purdue University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Computational Science
  • Computer Vision
  • Health Services
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Military Medicine
  • Network Science
  • Neural Networks
  • Students
  • Supervised Machine Learning
  • Surgery
  • Teleoperation

Fields of Study

  • Biology
  • Medicine

Readers

  • Economics
  • Immunology

Technology Areas

  • AI & ML
  • Autonomy