Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 02 01 2020
accepted: 30 04 2020
revised: 15 03 2020
pubmed: 20 5 2020
medline: 10 2 2021
entrez: 20 5 2020
Statut: ppublish

Résumé

To investigate the predictive value of quantifiable imaging and inflammatory biomarkers in patients with hepatocellular carcinoma (HCC) for the clinical outcome after drug-eluting bead transarterial chemoembolization (DEB-TACE) measured as volumetric tumor response and progression-free survival (PFS). This retrospective study included 46 patients with treatment-naïve HCC who received DEB-TACE. Laboratory work-up prior to treatment included complete and differential blood count, liver function, and alpha-fetoprotein levels. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were correlated with radiomic features extracted from pretreatment contrast-enhanced magnetic resonance imaging (MRI) and with tumor response according to quantitative European Association for the Study of the Liver (qEASL) criteria and progression-free survival (PFS) after DEB-TACE. Radiomic features included single nodular tumor growth measured as sphericity, dynamic contrast uptake behavior, arterial hyperenhancement, and homogeneity of contrast uptake. Statistics included univariate and multivariate linear regression, Cox regression, and Kaplan-Meier analysis. Accounting for laboratory and clinical parameters, high baseline NLR and PLR were predictive of poorer tumor response (p = 0.014 and p = 0.004) and shorter PFS (p = 0.002 and p < 0.001). When compared to baseline imaging, high NLR and PLR correlated with non-spherical tumor growth (p = 0.001 and p < 0.001). This study establishes the prognostic value of quantitative inflammatory biomarkers associated with aggressive non-spherical tumor growth and predictive of poorer tumor response and shorter PFS after DEB-TACE. • In treatment-naïve hepatocellular carcinoma (HCC), high baseline platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) are associated with non-nodular tumor growth measured as low tumor sphericity. • High PLR and NLR are predictive of poorer volumetric enhancement-based tumor response and PFS after DEB-TACE in HCC. • This set of readily available, quantitative immunologic biomarkers can easily be implemented in clinical guidelines providing a paradigm to guide and monitor the personalized application of loco-regional therapies in HCC.

Identifiants

pubmed: 32424595
doi: 10.1007/s00330-020-06931-5
pii: 10.1007/s00330-020-06931-5
pmc: PMC7483919
mid: NIHMS1596167
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5663-5673

Subventions

Organisme : NCI NIH HHS
ID : R01 CA206180
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

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Auteurs

Isabel Theresa Schobert (IT)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.
Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117, Berlin, Germany.

Lynn Jeanette Savic (LJ)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.
Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117, Berlin, Germany.

Julius Chapiro (J)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA. julius.chapiro@yale.edu.

Khaled Bousabarah (K)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.
Department of Stereotactic and Functional Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Evan Chen (E)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

Fabian Laage-Gaupp (F)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

Jonathan Tefera (J)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.
Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, 10117, Berlin, Germany.

Nariman Nezami (N)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

MingDe Lin (M)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

Jeffrey Pollak (J)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

Todd Schlachter (T)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 300 Cedar Street, New Haven, CT, 06520, USA.

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