Beyond binary: bridging neutrophil diversity to new therapeutic approaches in NSCLC.

diversity non-small-cell lung cancer tumor-associated neutrophils

Journal

Trends in cancer
ISSN: 2405-8025
Titre abrégé: Trends Cancer
Pays: United States
ID NLM: 101665956

Informations de publication

Date de publication:
14 Feb 2024
Historique:
received: 03 11 2023
revised: 19 01 2024
accepted: 23 01 2024
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 15 2 2024
Statut: aheadofprint

Résumé

Neutrophils represent the most abundant myeloid cell subtype in the non-small-cell lung cancer (NSCLC) tumor microenvironment (TME). By anti- or protumor polarization, they impact multiple aspects of tumor biology and affect sensitivity to conventional therapies and immunotherapies. Single-cell RNA sequencing (scRNA-seq) analyses have unraveled an extensive neutrophil heterogeneity, helping our understanding of their pleiotropic role. In this review we summarize recent data and models on tumor-associated neutrophil (TAN) biology, focusing on the diversity that evolves in response to tumor-intrinsic cues. We categorize available transcriptomic profiles from different cancer entities into a defined set of neutrophil subclusters with distinct phenotypic properties, to step beyond the traditional binary N1/2 classification. Finally, we discuss potential ways to exploit these neutrophil states in the setting of anticancer therapy.

Identifiants

pubmed: 38360439
pii: S2405-8033(24)00010-4
doi: 10.1016/j.trecan.2024.01.010
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests. G.S. is an employee of Boehringer Ingelheim International Pharma GmbH & Co KG.

Auteurs

Lena Horvath (L)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Constanze Puschmann (C)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Alexandra Scheiber (A)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Agnieszka Martowicz (A)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Gregor Sturm (G)

Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria; Boehringer Ingelheim International Pharma GmbH & Co KG, Biberach, Germany.

Zlatko Trajanoski (Z)

Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.

Dominik Wolf (D)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Andreas Pircher (A)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.

Stefan Salcher (S)

Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria. Electronic address: stefan.salcher@i-med.ac.at.

Classifications MeSH