Circulating proteome for pulmonary nodule malignancy

Author:

Khodayari Moez Elham1ORCID,Warkentin Matthew T12ORCID,Brhane Yonathan1ORCID,Lam Stephen3,Field John K4,Liu Geoffrey5ORCID,Zulueta Javier J6ORCID,Valencia Karmele789ORCID,Mesa-Guzman Miguel10,Nialet Andrea Pasquier789,Atkar-Khattra Sukhinder3ORCID,Davies Michael P A4,Grant Benjamin5,Murison Kiera1,Montuenga Luis M789,Amos Christopher I11,Robbins Hilary A12ORCID,Johansson Mattias12ORCID,Hung Rayjean J12ORCID

Affiliation:

1. Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health , Toronto, ON, Canada

2. Dalla Lana School of Public Health, University of Toronto , Toronto, ON, Canada

3. Integrative Oncology, British Columbia Cancer Agency , Vancouver, BC, Canada

4. Molecular & Clinical Cancer Medicine, University of Liverpool , Liverpool, UK

5. Computational Biology and Medicine Program, Princess Margaret Cancer Center , Toronto, ON, Canada

6. Division of Pulmonary, Critical Care and Sleep Medicine, Mount Sinai Morningside Hospital, Icahn School of Medicine , New York, NY, USA

7. Center of Applied Medical Research (CIMA) and Schools of Sciences and Medicine, University of Navarra , Pamplona, Spain

8. Navarra Institute for Health Research (IdiSNA) , Pamplona, Spain

9. Centro de Investigacion Biomedica en Red de Cancer (CIBERONC) , Madrid, Spain

10. Thoracic Surgery Department, Clínica Universidad de Navarra , Pamplona, Spain

11. Institute for Clinical and Translational Research, Baylor College of Medicine , Houston, TX, USA

12. Genomic Epidemiology Branch, International Agency for Research on Cancer , Lyon, France

Abstract

Abstract Background Although lung cancer screening with low-dose computed tomography is rolling out in many areas of the world, differentiating indeterminate pulmonary nodules remains a major challenge. We conducted one of the first systematic investigations of circulating protein markers to differentiate malignant from benign screen-detected pulmonary nodules. Methods Based on 4 international low-dose computed tomography screening studies, we assayed 1078 protein markers using prediagnostic blood samples from 1253 participants based on a nested case-control design. Protein markers were measured using proximity extension assays, and data were analyzed using multivariable logistic regression, random forest, and penalized regressions. Protein burden scores (PBSs) for overall nodule malignancy and imminent tumors were estimated. Results We identified 36 potentially informative circulating protein markers differentiating malignant from benign nodules, representing a tightly connected biological network. Ten markers were found to be particularly relevant for imminent lung cancer diagnoses within 1 year. Increases in PBSs for overall nodule malignancy and imminent tumors by 1 standard deviation were associated with odds ratios of 2.29 (95% confidence interval: 1.95 to 2.72) and 2.81 (95% confidence interval: 2.27 to 3.54) for nodule malignancy overall and within 1 year of diagnosis, respectively. Both PBSs for overall nodule malignancy and for imminent tumors were substantially higher for those with malignant nodules than for those with benign nodules, even when limited to Lung Computed Tomography Screening Reporting and Data System (LungRADS) category 4 (P < .001). Conclusions Circulating protein markers can help differentiate malignant from benign pulmonary nodules. Validation with an independent computed tomographic screening study will be required before clinical implementation.

Funder

National Institute of Health

Canadian Institute for Health Research

ISCIII Fondo de Investigación Sanitaria-Fondo Europeo de Desarrollo Regional

Lung Ambition Alliance and Fundación Roberto Arnal Planelles

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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