Journal Article

DKFZ-2024-01386

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Baseline Cell-Free DNA Can Predict Malignancy of Nodules Observed in the ITALUNG Screening Trial.

Bisanzi, S. ; Puliti, D. ; Picozzi, G. ; Romei, C. ; Pistelli, F. ; Deliperi, A. ; Carreras, G. ; Masala, G. ; Gorini, G. ; Zappa, M. ; Sani, C. ; Carrozzi, L. ; Paci, E. ; Kaaks, R.DKFZ* ; Carozzi, F. M. ; Mascalchi, M. (Last author)DKFZ* ; Group, I. W. (Collaboration Author)

2024
MDPI Basel

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Please use a persistent id in citations: doi:10.3390/cancers16122276

Abstract: The role of total plasma cell-free DNA (cfDNA) in lung cancer (LC) screening with low-dose computed tomography (LDCT) is uncertain. We hypothesized that cfDNA could support differentiation between malignant and benign nodules observed in LDCT. The baseline cfDNA was measured in 137 subjects of the ITALUNG trial, including 29 subjects with screen-detected LC (17 prevalent and 12 incident) and 108 subjects with benign nodules. The predictive capability of baseline cfDNA to differentiate malignant and benign nodules was compared to that of Lung-RADS classification and Brock score at initial LDCT (iLDCT). Subjects with prevalent LC showed both well-discriminating radiological characteristics of the malignant nodule (16 of 17 were classified as Lung-RADS 4) and markedly increased cfDNA (mean 18.8 ng/mL). The mean diameters and Brock scores of malignant nodules at iLDCT in subjects who were diagnosed with incident LC were not different from those of benign nodules. However, 75% (9/12) of subjects with incident LC showed a baseline cfDNA ≥ 3.15 ng/mL, compared to 34% (37/108) of subjects with benign nodules (p = 0.006). Moreover, baseline cfDNA was correlated (p = 0.001) with tumor growth, measured with volume doubling time. In conclusion, increased baseline cfDNA may help to differentiate subjects with malignant and benign nodules at LDCT.

Keyword(s): biomarkers ; cell-free DNA ; low-dose CT ; lung cancer ; prediction ; screening

Note: #LA:C020#

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Contributing Institute(s):

1. C020 Epidemiologie von Krebs (C020)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2024

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