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

Front Immunol. 2023 Jul 12:14:1193235. doi: 10.3389/fimmu.2023.1193235. eCollection 2023.

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.

Keywords: TAM polarization; mass spectrometry; metabolism; prognostic markers; tumor associated macrophages (TAMs).

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / metabolism
  • Humans
  • Macrophages
  • Neoplasms*
  • Phenotype
  • Tumor-Associated Macrophages*

Substances

  • Biomarkers

Grants and funding

This study was supported by Italian Ministry of Health grant number RF-2018-12367150.