Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications

Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications

BackgroundInterstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional...

Full description

Saved in:
Bibliographic Details
Main Authors: Fabio Perrotta, Donato Lacedonia, Vito D’Agnano, Andrea Bianco, Giulia Scioscia, Pasquale Tondo, Maria Pia Foschino Barbaro, Francesca Mariani, Sara Lettieri, Lucia Del Frate, Silvia Mancinelli, Davide Piloni, Tiberio Oggionni, Chandra Bortolotto, Laura Carrozzi, Isa Cerveri, Angelo Guido Corsico, Giulia Maria Stella
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Oncology
Subjects:
interstitial lung diseases
idiopathic pulmonary fibrosis
lung cancer
predictors
gender
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1488157/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1488157/full

Similar Items