Cargando…
Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956941/ https://www.ncbi.nlm.nih.gov/pubmed/29769125 http://dx.doi.org/10.1186/s12967-018-1511-x |
_version_ | 1783323979745853440 |
---|---|
author | Mandoj, Chiara Pizzuti, Laura Sergi, Domenico Sperduti, Isabella Mazzotta, Marco Di Lauro, Luigi Amodio, Antonella Carpano, Silvia Di Benedetto, Anna Botti, Claudio Ferranti, Francesca Antenucci, Anna D’Alessandro, Maria Gabriella Marchetti, Paolo Tomao, Silverio Sanguineti, Giuseppe Giordano, Antonio Maugeri-Saccà, Marcello Ciliberto, Gennaro Conti, Laura Vici, Patrizia Barba, Maddalena |
author_facet | Mandoj, Chiara Pizzuti, Laura Sergi, Domenico Sperduti, Isabella Mazzotta, Marco Di Lauro, Luigi Amodio, Antonella Carpano, Silvia Di Benedetto, Anna Botti, Claudio Ferranti, Francesca Antenucci, Anna D’Alessandro, Maria Gabriella Marchetti, Paolo Tomao, Silverio Sanguineti, Giuseppe Giordano, Antonio Maugeri-Saccà, Marcello Ciliberto, Gennaro Conti, Laura Vici, Patrizia Barba, Maddalena |
author_sort | Mandoj, Chiara |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1511-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5956941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59569412018-05-24 Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting Mandoj, Chiara Pizzuti, Laura Sergi, Domenico Sperduti, Isabella Mazzotta, Marco Di Lauro, Luigi Amodio, Antonella Carpano, Silvia Di Benedetto, Anna Botti, Claudio Ferranti, Francesca Antenucci, Anna D’Alessandro, Maria Gabriella Marchetti, Paolo Tomao, Silverio Sanguineti, Giuseppe Giordano, Antonio Maugeri-Saccà, Marcello Ciliberto, Gennaro Conti, Laura Vici, Patrizia Barba, Maddalena J Transl Med Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1511-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-16 /pmc/articles/PMC5956941/ /pubmed/29769125 http://dx.doi.org/10.1186/s12967-018-1511-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Mandoj, Chiara Pizzuti, Laura Sergi, Domenico Sperduti, Isabella Mazzotta, Marco Di Lauro, Luigi Amodio, Antonella Carpano, Silvia Di Benedetto, Anna Botti, Claudio Ferranti, Francesca Antenucci, Anna D’Alessandro, Maria Gabriella Marchetti, Paolo Tomao, Silverio Sanguineti, Giuseppe Giordano, Antonio Maugeri-Saccà, Marcello Ciliberto, Gennaro Conti, Laura Vici, Patrizia Barba, Maddalena Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting |
title | 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_short | 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 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956941/ https://www.ncbi.nlm.nih.gov/pubmed/29769125 http://dx.doi.org/10.1186/s12967-018-1511-x |
work_keys_str_mv | AT mandojchiara observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT pizzutilaura observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT sergidomenico observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT sperdutiisabella observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT mazzottamarco observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT dilauroluigi observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT amodioantonella observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT carpanosilvia observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT dibenedettoanna observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT botticlaudio observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT ferrantifrancesca observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT antenuccianna observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT dalessandromariagabriella observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT marchettipaolo observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT tomaosilverio observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT sanguinetigiuseppe observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT giordanoantonio observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT maugerisaccamarcello observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT cilibertogennaro observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT contilaura observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT vicipatrizia observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting AT barbamaddalena observationalstudyofcoagulationactivationinearlybreastcancerdevelopmentofaprognosticmodelbasedondatafromtherealworldsetting |