Systemic Inflammation Is Associated with Oncological Outcome in Patients with High-Grade Myxofibrosarcoma of the Extremities: A Retrospective Analysis.


Journal

Oncology research and treatment
ISSN: 2296-5262
Titre abrégé: Oncol Res Treat
Pays: Switzerland
ID NLM: 101627692

Informations de publication

Date de publication:
2020
Historique:
received: 27 05 2020
accepted: 14 06 2020
pubmed: 19 8 2020
medline: 27 1 2021
entrez: 19 8 2020
Statut: ppublish

Résumé

The aim of this retrospective study is to verify whether preoperative systemic inflammatory markers (serum C-reactive protein [CRP] and neutrophil-lymphocyte ratio [NLR]) can help in predicting the disease-specific survival (DSS) and local recurrence (LR) rate in adult patients affected by localized myxofibrosarcoma (MFS) of the extremities. We reviewed 126 adult patients with primary, localized MFS of the limbs. We analyzed DSS and LR. Median age at the time of surgery was 68 years (range 19-92). Median CRP was 0.4 mg/dL and median NLR was 2.8. A worse DSS was found in patients who had preoperative CRP >0.5 mg/dL (p = 0.002) and in those with NLR >3.5 (p < 0.001). In multivariate analysis, tumor size and grade as well as preoperative CRP values and NLR were confirmed to be prognostic factors in terms of DSS. An increased risk of LR was found in multivariate analysis in patients with a tail sign and with high gadolinium enhancement at preoperative MRI. Patients with high preoperative CRP and NLR levels, as well as large and high-grade tumors, might be considered as candidates for additional, more aggressive treatment approaches or more stringent follow-up schedules.

Sections du résumé

BACKGROUND BACKGROUND
The aim of this retrospective study is to verify whether preoperative systemic inflammatory markers (serum C-reactive protein [CRP] and neutrophil-lymphocyte ratio [NLR]) can help in predicting the disease-specific survival (DSS) and local recurrence (LR) rate in adult patients affected by localized myxofibrosarcoma (MFS) of the extremities.
METHODS METHODS
We reviewed 126 adult patients with primary, localized MFS of the limbs. We analyzed DSS and LR.
RESULTS RESULTS
Median age at the time of surgery was 68 years (range 19-92). Median CRP was 0.4 mg/dL and median NLR was 2.8. A worse DSS was found in patients who had preoperative CRP >0.5 mg/dL (p = 0.002) and in those with NLR >3.5 (p < 0.001). In multivariate analysis, tumor size and grade as well as preoperative CRP values and NLR were confirmed to be prognostic factors in terms of DSS. An increased risk of LR was found in multivariate analysis in patients with a tail sign and with high gadolinium enhancement at preoperative MRI.
CONCLUSIONS CONCLUSIONS
Patients with high preoperative CRP and NLR levels, as well as large and high-grade tumors, might be considered as candidates for additional, more aggressive treatment approaches or more stringent follow-up schedules.

Identifiants

pubmed: 32810863
pii: 000509429
doi: 10.1159/000509429
doi:

Substances chimiques

Biomarkers 0
C-Reactive Protein 9007-41-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

531-538

Informations de copyright

© 2020 S. Karger AG, Basel.

Auteurs

Andrea Sambri (A)

University of Bologna, Bologna, Italy, andrea_sambri@libero.it.
IRCCS Azienda Ospedaliera Universitaria Sant'Orsola-Malpighi, Bologna, Italy, andrea_sambri@libero.it.

Riccardo Zucchini (R)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Claudio Giannini (C)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Luca Cevolani (L)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Michele Fiore (M)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Paolo Spinnato (P)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Giuseppe Bianchi (G)

IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Davide Maria Donati (DM)

University of Bologna, Bologna, Italy.
IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Massimiliano De Paolis (M)

IRCCS Azienda Ospedaliera Universitaria Sant'Orsola-Malpighi, Bologna, Italy.

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Classifications MeSH