Evidence map›Paper›PMID 32793228›Full record

ReviewFrontiers in immunology2020

Myeloid Cells as Clinical Biomarkers for Immune Checkpoint Blockade.

Elisa Peranzoni, Vincenzo Ingangi, Elena Masetto, Laura Pinton, Ilaria Marigo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

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  5. Overcoming tumour resistance in cancer immunotherapy through predictive and pharmacodynamic biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

5 authors at 3 institutions in 2 countries.

Elisa PeranzoniCenter for Therapeutic Innovation in Oncology, Institut de Recherche International Servier, Suresnes, France.
Vincenzo IngangiVeneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Elena MasettoVeneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Laura PintonVeneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Ilaria MarigoVeneto Institute of Oncology IOV - IRCCS, Padua, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Oncologico Veneto · ITServier (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors are becoming standard treatments in several cancer types, profoundly changing the prognosis of a fraction of patients. Currently, many efforts are being made to predict responders and to understand how to overcome resistance in non-responders. Given the crucial role of myeloid cells as modulators of T effector cell function in tumors, it is essential to understand their impact on the clinical outcome of immune checkpoint blockade and on the mechanisms of immune evasion. In this review we focus on the existing clinical evidence of the relation between the presence of myeloid cell subsets and the response to anti-PD(L)1 and anti-CTLA-4 treatment. We highlight how circulating and tumor-infiltrating myeloid populations can be used as predictive biomarkers for immune checkpoint inhibitors in different human cancers, both at baseline and on treatment. Moreover, we propose to follow the dynamics of myeloid cells during immunotherapy as pharmacodynamic biomarkers. Finally, we provide an overview of the current strategies tested in the clinic that use myeloid cell targeting together with immune checkpoint blockade with the aim of uncovering the most promising approaches for effective combinations.

Indexed as

BiomarkersAnimalsClinical Studies as TopicDrug Evaluation, PreclinicalHumansImmune Checkpoint InhibitorsImmune Checkpoint ProteinsMolecular Targeted TherapyMyeloid CellsMyeloid-Derived Suppressor CellsOrgan SpecificityTreatment OutcomeBiomarkersImmune Checkpoint InhibitorsImmune Checkpoint Proteinscirculating biomarkersimmune checkpoint inhibitorsMDSC (myeloid-derived suppressor cell)myeloid cellspredictive biomarkersresistance to immunotherapyTAM (tumor-associated macrophage)tumor biomarkers

Identifiers

PMID32793228
PMCPMC7393010
OpenAlexW3044098051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.