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Low-Dose Aspirin in High-Risk Individuals With Screen-Detected Subsolid Lung Nodules: A Randomized Phase II Trial

Authors :
Davide Serrano
Bernardo Bonanni
Valentina Aristarco
Aliana Guerrieri-Gonzaga
Eva Szabo
Matteo Lazzeroni
Cristiano Rampinelli
Manuela Vecchi
Lorenzo Spaggiari
Clara Varricchio
Giulia Veronesi
Lana Vornik
Patrick Maisonneuve
Powel H. Brown
Massimo Bellomi
Massimiliano Cazzaniga
Harriet Johansson
Therese Beavers
Bonanni, B.
Serrano, D.
Maisonneuve, P.
Veronesi, G.
Johansson, H.
Aristarco, V.
Varricchio, C.
Cazzaniga, M.
Lazzeroni, M.
Rampinelli, C.
Bellomi, M.
Vecchi, M.
Spaggiari, L.
Vornik, L.
Brown, P. H.
Beavers, T.
Guerrieri-Gonzaga, A.
Szabo, E.
Source :
JNCI Cancer Spectrum
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Lung cancer screening by helical low-dose computed tomography detects nonsolid nodules that may be lung adenocarcinoma precursors. Aspirin’s anti-inflammatory properties make it an attractive target for prevention of multiple cancers, including lung cancer. Therefore, we conducted a phase IIb trial (NCT02169271) to study the efficacy of low-dose aspirin to reduce the size of subsolid lung nodules (SSNs). A total of 98 current or former smokers (67.3% current) undergoing annual low-dose computed tomography screening with persistent SSNs were randomly assigned to receive aspirin 100 mg/day or placebo for 1 year. There was no difference in change in the sum of the longest diameters of target nodules in the placebo and aspirin arm after 12 months of treatment (-0.12 mm [SD = 1.55 mm] and +0.30 mm [SD= 2.54 mm], respectively; 2-sided P = .33 primary endpoint). There were no changes observed in subgroup analyses by individual characteristics or nodule type. One year of low-dose aspirin did not show any effect on lung SSNs. SSNs regression may not be the proper target for aspirin, and/or longer duration may be needed to see SSNs modifications.

Details

ISSN :
25155091
Volume :
4
Database :
OpenAIRE
Journal :
JNCI Cancer Spectrum
Accession number :
edsair.doi.dedup.....8631b7de3800c82890fa2afa20cb4e17