The Prognostic Role of TNM Staging Compared With Tumor Volume and Number of Pleural Sites in Malignant Pleural Mesothelioma.


Journal

Clinical lung cancer
ISSN: 1938-0690
Titre abrégé: Clin Lung Cancer
Pays: United States
ID NLM: 100893225

Informations de publication

Date de publication:
11 2019
Historique:
received: 22 02 2019
revised: 25 04 2019
accepted: 15 06 2019
pubmed: 5 8 2019
medline: 26 3 2020
entrez: 5 8 2019
Statut: ppublish

Résumé

Age, sex, stage, histotype, and surgery are the most recognized prognostic factors for malignant pleural mesothelioma (MPM). Tumor volume (TV) was suggested as an alternative prognostic evaluation. We aimed to assess the prognostic role of Tumor, Node, Metastases (TNM) versus TV and number of pleural sites (NPS). Information on stage, TV, and NPS was collected for 52 MPM patients (pts) at our institution from 2009 to 2012. Baseline computed tomography imaging was performed to define TNM, TV, and NPS. Pts were divided in 3 stage groups: early (I-II), III, and IV. A dedicated computer system calculated TV. Pts were divided in 2 groups according to mean baseline TV (483 cm Most pts were male; mean age was 62 years. We showed an association between TV, TNM, and T. Stage III (hazard ratio [HR], 4.71; P = .02) and IV (HR, 7.40; P < .01), T3 (HR, 5.07; P < .01) and T4 (HR, 5.09; P < .01), TV > 483 cm We showed that TV is related to TNM staging and T, in particular. Improved prognostic performance might be achievable using quantitative clinical staging combining TV and NPS.

Sections du résumé

BACKGROUND
Age, sex, stage, histotype, and surgery are the most recognized prognostic factors for malignant pleural mesothelioma (MPM). Tumor volume (TV) was suggested as an alternative prognostic evaluation. We aimed to assess the prognostic role of Tumor, Node, Metastases (TNM) versus TV and number of pleural sites (NPS).
PATIENTS AND METHODS
Information on stage, TV, and NPS was collected for 52 MPM patients (pts) at our institution from 2009 to 2012. Baseline computed tomography imaging was performed to define TNM, TV, and NPS. Pts were divided in 3 stage groups: early (I-II), III, and IV. A dedicated computer system calculated TV. Pts were divided in 2 groups according to mean baseline TV (483 cm
RESULTS
Most pts were male; mean age was 62 years. We showed an association between TV, TNM, and T. Stage III (hazard ratio [HR], 4.71; P = .02) and IV (HR, 7.40; P < .01), T3 (HR, 5.07; P < .01) and T4 (HR, 5.09; P < .01), TV > 483 cm
CONCLUSION
We showed that TV is related to TNM staging and T, in particular. Improved prognostic performance might be achievable using quantitative clinical staging combining TV and NPS.

Identifiants

pubmed: 31377142
pii: S1525-7304(19)30170-6
doi: 10.1016/j.cllc.2019.06.019
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e652-e660

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Claudia Proto (C)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy. Electronic address: claudia.proto@istitutotumori.mi.it.

Diego Signorelli (D)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Sandra Mallone (S)

Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.

Arsela Prelaj (A)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Giuseppe Lo Russo (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Martina Imbimbo (M)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Giulia Galli (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Roberto Ferrara (R)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Monica Ganzinelli (M)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Giovanni Leuzzi (G)

Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Francesca Gabriella Greco (FG)

Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Giuseppina Calareso (G)

Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Laura Botta (L)

Department of Preventive and Predictive Medicine, Evaluative Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Gemma Gatta (G)

Department of Preventive and Predictive Medicine, Evaluative Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Marina Garassino (M)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Annalisa Trama (A)

Department of Preventive and Predictive Medicine, Evaluative Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

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Classifications MeSH