Evidence map›Paper›PMID 37503340›Full record

ReviewFrontiers in immunology2023

Implication of metabolism in the polarization of tumor-associated-macrophages: the mass spectrometry-based point of view.

Giulia De Simone, Cristiana Soldani, Aurelia Morabito, Barbara Franceschini, Fabrizio Ferlan, Guido Costa, Roberta Pastorelli, Matteo Donadon, Laura Brunelli

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

9 authors.

Giulia De SimoneLaboratory of Metabolites and Proteins in Translational Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Cristiana SoldaniHepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy.
Aurelia MorabitoLaboratory of Metabolites and Proteins in Translational Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Barbara FranceschiniHepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy.
Fabrizio FerlanHepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy.
Guido CostaHepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy.
Roberta PastorelliLaboratory of Metabolites and Proteins in Translational Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Matteo DonadonHepatobiliary Immunopathology Laboratory, IRCCS Humanitas Research Hospital, Milan, Italy.
Laura BrunelliLaboratory of Metabolites and Proteins in Translational Research, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-associated macrophages (TAMs) represent one of the main tumor-infiltrating immune cell types and are generally categorized into either of two functionally contrasting subtypes, namely classical activated M1 macrophages and alternatively activated M2 macrophages. TAMs showed different activation states that can be represent by the two extremes of the complex profile of macrophages biology, the M1-like phenotype (pro-inflammatory activity) and the M2-like phenotype (anti-inflammatory activity). Based on the tumor type, and grades, TAMs can acquire different functions and properties; usually, the M1-like phenotype is typical of early tumor stages and is associated to an anti-tumor activity, while M2-like phenotype has a pro-inflammatory activity and is related to a poor patients' prognosis. The classification of macrophages into M1/M2 groups based on well-defined stimuli does not model the infinitely more complex tissue milieu where macrophages (potentially of different origin) would be exposed to multiple signals in different sequential order. This review aims to summarize the recent mass spectrometry-based (MS-based) metabolomics findings about the modifications of metabolism in TAMs polarization in different tumors. The published data shows that MS-based metabolomics is a promising tool to help better understanding TAMs metabolic phenotypes, although it is still poorly applied for TAMs metabolism. The knowledge of key metabolic alterations in TAMs is an essential step for discovering TAMs polarization novel biomarkers and developing novel therapeutic approaches targeting TAM metabolism to repolarize TAMs towards their anti-tumor phenotype.

Indexed as

NeoplasmsTumor-Associated MacrophagesBiomarkersHumansMacrophagesPhenotypeBiomarkersmass spectrometrymetabolismprognostic markersTAM polarizationtumor associated macrophages (TAMs)

Identifiers

PMID37503340
PMCPMC10368868

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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.