Evidence map›Paper›PMID 33979585›Full record

ReviewImmunity2021

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

Samarth Hegde, Andrew M Leader, Miriam Merad

Abstract readReview
In one paragraph

Review in Immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 427 papers.

0numbers the graph read from it
0cells of the map it votes in
427citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

427 citing papers in PubMed.

  1. Article
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  7. Review
  8. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
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  14. Review
  15. Article
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367 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Samarth HegdeThe 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.
Andrew M LeaderThe 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.
Miriam MeradThe 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; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: miriam.merad@mssm.edu.

Funding

Viral Assays CoreU19AI128949 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Donna L. Farber, Peter Alan Sims · 2017 to 2026
$26.4M
ERK control of Dendritic Cell Differentiation, Homeostasis and DiseaseR01CA154947 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CARL E ALLEN, MIRIAM MERAD · 2011 to 2026
$7.0M
Harnessing Csf-2 compartmentalized role on tissue resident phagocytes to uncouple anti-tumoral from pathological immunity induced by checkpoint inhibitorsR01CA190400 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MERAD, MIRIAM · 2015 to 2019
$1.9M
Defining the barriers to immune surveillance in solid tumorsK00CA223043 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HEGDE, SAMARTH · 2020 to 2023
$374k
NCI NIH HHS K00 CA223043NCI NIH HHS R01 CA154947NCI NIH HHS R01 CA190400NIAID NIH HHS U19 AI128949
6 · The paper itself

Abstract

Myeloid-derived suppressor cells (MDSCs) are one of the most discussed biological entities in immunology. While the context and classification of this group of cells has evolved, MDSCs most commonly describe cells arising during chronic inflammation, especially late-stage cancers, and are defined by their T cell immunosuppressive functions. This MDSC concept has helped explain myeloid phenomena associated with disease outcome, but currently lacks clear definitions and a unifying framework across pathologies. Here, we propose such a framework to classify MDSCs as discrete cell states based on activation signals in myeloid populations leading to suppressive modes characterized by specific, measurable effects. Developing this level of knowledge of myeloid states across pathological conditions may ultimately transform how disparate diseases are grouped and treated.

Indexed as

AnimalsBiomarkersHumansMyeloid CellsMyeloid-Derived Suppressor CellsSignal TransductionT-LymphocytesBiomarkers

Identifiers

PMID33979585
PMCPMC8709560

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.