Neutrophil-to-lymphocyte ratio, Factor VIII and Antithrombin III: inflammatory-clotting biomarkers in glioma.

Antithrombin III Factor VIII biomarker coagulation glioblastoma glioma inflammation neutrophil-to-lymphocyte ratio

Journal

EXCLI journal
ISSN: 1611-2156
Titre abrégé: EXCLI J
Pays: Germany
ID NLM: 101299402

Informations de publication

Date de publication:
2021
Historique:
received: 30 04 2021
accepted: 02 07 2021
entrez: 4 8 2021
pubmed: 5 8 2021
medline: 5 8 2021
Statut: epublish

Résumé

One of the key difficulties in glioma treatment is our limited ability to consistently assess cancer response or progression either by neuroimaging or specific blood biomarkers. An ideal biomarker could be measured through non-invasive methods such as blood-based biomarkers, aiding both early diagnosis and monitoring disease evolution. This is a single-center, case-control, 10-year retrospective, longitudinal study. We evaluated routine coagulation factors in 138 glioma patients (45 Females/93 Males; median [range] age, 56.4 [27-82] years; 64 non-recurrent/74 recurrent) and, for comparison, in 56 relapsing-remitting MS patients (41 Females/15 Males; 40.8 [25-62] years, 35 stable/21 active) and 23 controls (16 Females/7 Males; 41.7 [24-62] years) as well as Neutrophil-to-lymphocyte ratio (NLR) in subgroups of 127 glioma patients, 33 MS patients and 23 healthy controls. Secondly, we assessed whether these indicators could be predictive of overall (OS) and progression-free survival (PFS) in glioma patients. NLR, d-dimer, Antithrombin III and Factor VIII were significantly higher in glioma patients compared to both MS patients and controls (p<0.0001 for all). ROC curves confirmed that either NLR, Antithrombin III or Factor VIII were moderately accurate biomarkers (0.7<AUC<0.9) for glioma patients compared to other two groups whereas d-dimer was a moderately accurate marker for glioma only when compared to controls. In multivariable analysis, NLR ≥ 4.3 (median) (HR 1.53 [95 % CI 1.04-2.26], p=0.03) together with the Karnofsky Performance Status (KPS) ≥ 80 (median) (0.46 [0.31-0.69], p<0.0001) and use of steroids (1.75 [1.19-2.57], p=0.004) resulted independent predictors of OS while only KPS was independently associated with PFS. Our study showed increased levels of either NLR, Antithrombin III, Factor VIII, or d-dimer in glioma patients compared to MS patients and controls, where the first three represented moderately accurate biomarkers for this cancer. Among these markers, only NLR was found to be predictive for OS along with severe disability and steroid therapy.

Identifiants

pubmed: 34345234
doi: 10.17179/excli2021-3831
pii: 2021-3831
pmc: PMC8326499
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1152-1169

Informations de copyright

Copyright © 2021 Koudriavtseva et al.

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Auteurs

Tatiana Koudriavtseva (T)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Veronica Villani (V)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Svetlana Lorenzano (S)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Diana Giannarelli (D)

Biostatistics, IRCCS Regina Elena National Cancer Institute, IFO, Rome, Italy.

Enea Gino Di Domenico (EG)

Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy.

Annunziata Stefanile (A)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Marta Maschio (M)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Giovanna D'Agosto (G)

Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy.

Fulvia Pimpinelli (F)

Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy.

Antonio Tanzilli (A)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Edvina Galiè (E)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Andrea Pace (A)

Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy.

Classifications MeSH