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Updated: Nov 6, 2025

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MDSC: Markers, development, states, and unaddressed complexity.

Samarth Hegde1, Andrew M Leader1, Miriam Merad2

  • 1The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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|May 12, 2021
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Summary
This summary is machine-generated.

Myeloid-derived suppressor cells (MDSCs) are key in chronic inflammation and cancer. This study proposes a new framework to classify MDSC states based on measurable effects, aiming to unify understanding across diseases.

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Area of Science:

  • Immunology
  • Cell Biology
  • Pathophysiology

Background:

  • Myeloid-derived suppressor cells (MDSCs) are critical immune cells in chronic inflammation and cancer.
  • Current MDSC classification lacks a unifying framework across different pathologies.
  • MDSCs are characterized by their T cell immunosuppressive functions.

Purpose of the Study:

  • To propose a novel framework for classifying MDSCs.
  • To define MDSCs as discrete cell states based on activation signals.
  • To characterize suppressive modes by specific, measurable effects.

Main Methods:

  • Analysis of myeloid cell populations in pathological conditions.
  • Identification of activation signals leading to suppressive cell states.
  • Characterization of measurable effects of MDSC suppressive modes.

Main Results:

  • A proposed framework for classifying MDSC states.
  • Identification of distinct myeloid cell states linked to specific suppressive functions.
  • Establishment of measurable effects for MDSC classification.

Conclusions:

  • The proposed framework offers a unifying approach to MDSC classification.
  • Understanding myeloid states across pathologies can transform disease grouping and treatment.
  • This work may lead to new therapeutic strategies targeting MDSCs.