Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting
Abstract Background Cancer and coagulation activation are tightly related. The extent to which factors related to both these pathologic conditions concur to patient prognosis intensely animates the inherent research areas. The study herein presented aimed to the development of a tool for the assessm...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-05-01
|
Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12967-018-1511-x |
id |
doaj-252e42e02cae425f8d9580d20985048d |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chiara Mandoj Laura Pizzuti Domenico Sergi Isabella Sperduti Marco Mazzotta Luigi Di Lauro Antonella Amodio Silvia Carpano Anna Di Benedetto Claudio Botti Francesca Ferranti Anna Antenucci Maria Gabriella D’Alessandro Paolo Marchetti Silverio Tomao Giuseppe Sanguineti Antonio Giordano Marcello Maugeri-Saccà Gennaro Ciliberto Laura Conti Patrizia Vici Maddalena Barba |
spellingShingle |
Chiara Mandoj Laura Pizzuti Domenico Sergi Isabella Sperduti Marco Mazzotta Luigi Di Lauro Antonella Amodio Silvia Carpano Anna Di Benedetto Claudio Botti Francesca Ferranti Anna Antenucci Maria Gabriella D’Alessandro Paolo Marchetti Silverio Tomao Giuseppe Sanguineti Antonio Giordano Marcello Maugeri-Saccà Gennaro Ciliberto Laura Conti Patrizia Vici Maddalena Barba Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting Journal of Translational Medicine Early breast cancer Coagulation activation Prognostic score Survival |
author_facet |
Chiara Mandoj Laura Pizzuti Domenico Sergi Isabella Sperduti Marco Mazzotta Luigi Di Lauro Antonella Amodio Silvia Carpano Anna Di Benedetto Claudio Botti Francesca Ferranti Anna Antenucci Maria Gabriella D’Alessandro Paolo Marchetti Silverio Tomao Giuseppe Sanguineti Antonio Giordano Marcello Maugeri-Saccà Gennaro Ciliberto Laura Conti Patrizia Vici Maddalena Barba |
author_sort |
Chiara Mandoj |
title |
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title_short |
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title_full |
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title_fullStr |
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title_full_unstemmed |
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title_sort |
observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
publisher |
BMC |
series |
Journal of Translational Medicine |
issn |
1479-5876 |
publishDate |
2018-05-01 |
description |
Abstract Background Cancer and coagulation activation are tightly related. The extent to which factors related to both these pathologic conditions concur to patient prognosis intensely animates the inherent research areas. The study herein presented aimed to the development of a tool for the assessment and stratification of risk of death and disease recurrence in early breast cancer. Methods Between 2008 and 2010, two hundreds thirty-five (N: 235) patients diagnosed with stage I–IIA breast cancer were included. Data on patient demographics and clinic-pathologic features were collected in course of face-to-face interviews or actively retrieved from clinical charts. Plasma levels of plasminogen activator inhibitor type 1 (PAI-1), fragment 1 + 2 (F1 + 2), thrombin antithrombin complex (TAT), factor VIII (FVIII), and D-dimer (DD) were measured at breast cancer diagnosis and prior to any therapeutic procedure, including breast surgery. The risk of death was computed in terms of overall survival (OS), which was the primary outcome. For a subset of patients (N = 62), disease free survival (DFS) was also assessed as a measure of risk of disease recurrence. Results Median follow up was 95 months (range 6–112 months). Mean age at diagnosis was 60.3 ± 13.4 years. Cancer cases were more commonly intraductal carcinomas (N: 204; 86.8%), pT1 (131; 55.7%), pN0 (141; 60%) and G2 (126; 53.6%). Elevated levels of PAI-1 (113; 48.1%) represented the most frequent coagulation abnormality, followed by higher levels of F1 + 2 (97; 41.3%), DD (63; 27.0%), TAT (34; 40%), and FVIII (29; 12.3%). In univariate models of OS, age, pT, DD, FVIII were prognostically relevant. In multivariate models of OS, age (p = 0.043), pT (p = 0.001), levels of DD (p = 0.029) and FVIII (p = 0.087) were confirmed. In the smaller subgroup of 62 patients, lymph node involvement, percent expression of estrogen receptors and levels of FVIII impacted DFS significantly. Conclusions We developed a risk assessment tool for OS including patient- and cancer-related features along with biomarkers of coagulation activation in a cohort of early BC patients. Further studies are warranted to validate our prognostic model in the early setting and eventually extend its application to risk evaluation in the advanced setting for breast and other cancers. |
topic |
Early breast cancer Coagulation activation Prognostic score Survival |
url |
http://link.springer.com/article/10.1186/s12967-018-1511-x |
work_keys_str_mv |
AT chiaramandoj observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT laurapizzuti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT domenicosergi observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT isabellasperduti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT marcomazzotta observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT luigidilauro observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT antonellaamodio observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT silviacarpano observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT annadibenedetto observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT claudiobotti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT francescaferranti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT annaantenucci observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT mariagabrielladalessandro observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT paolomarchetti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT silveriotomao observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT giuseppesanguineti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT antoniogiordano observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT marcellomaugerisacca observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT gennarociliberto observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT lauraconti observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT patriziavici observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT maddalenabarba observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting |
_version_ |
1725961036681445376 |
spelling |
doaj-252e42e02cae425f8d9580d20985048d2020-11-24T21:30:55ZengBMCJournal of Translational Medicine1479-58762018-05-011611910.1186/s12967-018-1511-xObservational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world settingChiara Mandoj0Laura Pizzuti1Domenico Sergi2Isabella Sperduti3Marco Mazzotta4Luigi Di Lauro5Antonella Amodio6Silvia Carpano7Anna Di Benedetto8Claudio Botti9Francesca Ferranti10Anna Antenucci11Maria Gabriella D’Alessandro12Paolo Marchetti13Silverio Tomao14Giuseppe Sanguineti15Antonio Giordano16Marcello Maugeri-Saccà17Gennaro Ciliberto18Laura Conti19Patrizia Vici20Maddalena Barba21Department of Clinical Pathology, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteBiostatistics Unit, IRCCS Regina Elena National Cancer InstituteMedical Oncology Unit Policlinico Sant’AndreaDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteDepartment of Pathology, IRCCS Regina Elena National Cancer InstituteDepartment of Surgery, IRCCS Regina Elena National Cancer InstituteRadiology Department, IRCCS Regina Elena National Cancer InstituteDepartment of Clinical Pathology, IRCCS Regina Elena National Cancer InstituteDepartment of Clinical Pathology, IRCCS Regina Elena National Cancer InstituteMedical Oncology Unit Policlinico Sant’AndreaDepartment of Medico-Surgical Sciences and Biotechnologies, University of Rome “Sapienza”Department of Radiotherapy, IRCCS Regina Elena National Cancer InstituteSbarro Institute for Cancer Research and Molecular Medicine e del Center for Biotechnology, College of Science and Technology, Temple UniversityDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteScientific Direction, IRCCS Regina Elena National Cancer InstituteDepartment of Clinical Pathology, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteDivision of Medical Oncology 2, IRCCS Regina Elena National Cancer InstituteAbstract Background Cancer and coagulation activation are tightly related. The extent to which factors related to both these pathologic conditions concur to patient prognosis intensely animates the inherent research areas. The study herein presented aimed to the development of a tool for the assessment and stratification of risk of death and disease recurrence in early breast cancer. Methods Between 2008 and 2010, two hundreds thirty-five (N: 235) patients diagnosed with stage I–IIA breast cancer were included. Data on patient demographics and clinic-pathologic features were collected in course of face-to-face interviews or actively retrieved from clinical charts. Plasma levels of plasminogen activator inhibitor type 1 (PAI-1), fragment 1 + 2 (F1 + 2), thrombin antithrombin complex (TAT), factor VIII (FVIII), and D-dimer (DD) were measured at breast cancer diagnosis and prior to any therapeutic procedure, including breast surgery. The risk of death was computed in terms of overall survival (OS), which was the primary outcome. For a subset of patients (N = 62), disease free survival (DFS) was also assessed as a measure of risk of disease recurrence. Results Median follow up was 95 months (range 6–112 months). Mean age at diagnosis was 60.3 ± 13.4 years. Cancer cases were more commonly intraductal carcinomas (N: 204; 86.8%), pT1 (131; 55.7%), pN0 (141; 60%) and G2 (126; 53.6%). Elevated levels of PAI-1 (113; 48.1%) represented the most frequent coagulation abnormality, followed by higher levels of F1 + 2 (97; 41.3%), DD (63; 27.0%), TAT (34; 40%), and FVIII (29; 12.3%). In univariate models of OS, age, pT, DD, FVIII were prognostically relevant. In multivariate models of OS, age (p = 0.043), pT (p = 0.001), levels of DD (p = 0.029) and FVIII (p = 0.087) were confirmed. In the smaller subgroup of 62 patients, lymph node involvement, percent expression of estrogen receptors and levels of FVIII impacted DFS significantly. Conclusions We developed a risk assessment tool for OS including patient- and cancer-related features along with biomarkers of coagulation activation in a cohort of early BC patients. Further studies are warranted to validate our prognostic model in the early setting and eventually extend its application to risk evaluation in the advanced setting for breast and other cancers.http://link.springer.com/article/10.1186/s12967-018-1511-xEarly breast cancerCoagulation activationPrognostic scoreSurvival |