Evidence map›Paper›PMID 35069595›Full record

ArticleFrontiers in immunology2021

Myeloid Diagnostic and Prognostic Markers of Immune Suppression in the Blood of Glioma Patients.

Paola Del Bianco, Laura Pinton, Sara Magri, Stefania Canè, Elena Masetto, Daniela Basso, Marta Padovan, Francesco Volpin, Domenico d'Avella, Giuseppe Lombardi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The roles of arginases and arginine in immunity.Nature reviews. Immunology · 2025
    Review
  8. Defining myeloid-derived suppressor cells.Nature reviews. Immunology · 2024
    Article
  9. Review
  10. Review
  11. Article
  12. Recent Developments in Blood Biomarkers in Neuro-oncology.Current neurology and neuroscience reports · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Roles of STAT3 in the pathogenesis and treatment of glioblastoma.Frontiers in cell and developmental biology · 2023
    Review
  17. Review
  18. Review
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

14 authors at 4 institutions in 1 country.

Paola Del BiancoDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Laura PintonDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Sara MagriDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Stefania CanèUniversity Hospital and Department of Medicine, Verona, Italy.
Elena MasettoDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Daniela BassoDepartment of Medicine, University of Padova, Padova, Italy.
Marta PadovanDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Francesco VolpinUniversity Hospital of Padova, Neurosurgery Department, Padova, Italy.
Domenico d'AvellaDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Giuseppe LombardiDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Vittorina ZagonelDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Vincenzo BronteUniversity Hospital and Department of Medicine, Verona, Italy.
Alessandro Della PuppaNeurosurgery, Department of NEUROFARBA, Careggi University Hospital, University of Florence, Florence, Italy.
Susanna MandruzzatoDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Istituto Oncologico Veneto · ITUniversity of Padua · ITUniversity of Verona · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although gliomas are confined to the central nervous system, their negative influence over the immune system extends to peripheral circulation. The immune suppression exerted by myeloid cells can affect both response to therapy and disease outcome. We analyzed the expansion of several myeloid parameters in the blood of low- and high-grade gliomas and assessed their relevance as biomarkers of disease and clinical outcome. Methods: Peripheral blood was obtained from 134 low- and high-grade glioma patients. CD14 Results: Changes in myeloid parameters associated with immune suppression allowed to define a diagnostic score calculating the risk of being a glioma patient. The same parameters, together with age, permit to calculate the risk score in differentiating each glioma grade. A prognostic model for glioblastoma patients stemmed out from a Cox multiple analysis, highlighting the role of MDSC, p-STAT3, and ARG1 activity together with clinical parameters in predicting patient's outcome. Conclusions: This work emphasizes the role of systemic immune suppression carried out by myeloid cells in gliomas. The identification of biomarkers associated with immune landscape, diagnosis, and outcome of glioblastoma patients lays the ground for their clinical use.

Indexed as

AdolescentAdultAgedAged, 80 and overArginaseB7-H1 AntigenBiomarkers, TumorFemaleGliomaHumansImmunocompromised HostImmunophenotypingLeukocytes, MononuclearLiquid BiopsyMaleMiddle AgedARG1 protein, humanArginaseB7-H1 AntigenBiomarkers, TumorCD274 protein, humanSTAT3 protein, humanSTAT3 Transcription Factorarginase 1 (ARG1)biomarkersgliomamyeloid-derived suppressor cellSTAT3

Identifiers

PMID35069595
PMCPMC8777055
OpenAlexW4206173548

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.