Hypoxia in Lung Cancer Management: A Translational Approach - Université de Reims Champagne-Ardenne Accéder directement au contenu
Article Dans Une Revue Cancers Année : 2021

Hypoxia in Lung Cancer Management: A Translational Approach

Julien Ancel
Jeanne-Marie Perotin
  • Fonction : Auteur
Maxime Dewolf
  • Fonction : Auteur
Claire Launois
Pauline Mulette
  • Fonction : Auteur
Véronique Dalstein
  • Fonction : Auteur
Christine Gilles
  • Fonction : Auteur
Gaëtan Deslée
  • Fonction : Auteur

Résumé

Lung cancer represents the first cause of death by cancer worldwide and remains a challenging public health issue. Hypoxia, as a relevant biomarker, has raised high expectations for clinical practice. Here, we review clinical and pathological features related to hypoxic lung tumours. Secondly, we expound on the main current techniques to evaluate hypoxic status in NSCLC focusing on positive emission tomography. We present existing alternative experimental approaches such as the examination of circulating markers and highlight the interest in non-invasive markers. Finally, we evaluate the relevance of investigating hypoxia in lung cancer management as a companion biomarker at various lung cancer stages. Hypoxia could support the identification of patients with higher risks of NSCLC. Moreover, the presence of hypoxia in treated tumours could help clinicians predict a worse prognosis for patients with resected NSCLC and may help identify patients who would benefit potentially from adjuvant therapies. Globally, the large quantity of translational data incites experimental and clinical studies to implement the characterisation of hypoxia in clinical NSCLC management.
Fichier principal
Vignette du fichier
JulienAncel_Cancers_2021.pdf (3.42 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03325614 , version 1 (25-08-2021)

Identifiants

Citer

Julien Ancel, Jeanne-Marie Perotin, Maxime Dewolf, Claire Launois, Pauline Mulette, et al.. Hypoxia in Lung Cancer Management: A Translational Approach. Cancers, 2021, 13 (14), pp.3421. ⟨10.3390/cancers13143421⟩. ⟨hal-03325614⟩

Collections

URCA P3CELL
29 Consultations
62 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More