Literature DB >> 32244657

Observational Multicenter Study on the Prognostic Relevance of Coagulation Activation in Risk Assessment and Stratification in Locally Advanced Breast Cancer. Outline of the ARIAS Trial.

Laura Pizzuti1, Eriseld Krasniqi1, Chiara Mandoj2, Daniele Marinelli3, Domenico Sergi1, Elisabetta Capomolla1, Giancarlo Paoletti1, Claudio Botti4, Ramy Kayal5, Francesca Romana Ferranti5, Isabella Sperduti6, Letizia Perracchio7, Giuseppe Sanguineti8, Paolo Marchetti3, Gennaro Ciliberto9, Giacomo Barchiesi10, Marco Mazzotta1, Maddalena Barba1, Laura Conti2, Patrizia Vici1.   

Abstract

A hypercoagulable state may either underlie or frankly accompany cancer disease at its onset or emerge in course of cancer development. Whichever the case, hypercoagulation may severely limit administration of cancer therapies, impose integrative supporting treatments and finally have an impact on prognosis. Within a flourishing research pipeline, a recent study of stage I-IIA breast cancer patients has allowed the development of a prognostic model including biomarkers of coagulation activation, which efficiently stratified prognosis of patients in the study cohort. We are now validating our risk assessment tool in an independent cohort of 108 patients with locally advanced breast cancer with indication to neo-adjuvant therapy followed by breast surgery. Within this study population, we will use our tool for risk assessment and stratification in reference to 1. pathologic complete response rate at definitive surgery, intended as our primary endpoint, and 2. rate of thromboembolic events, intended as our secondary endpoint. Patients' screening and enrollment procedures are currently in place. The trial will be shortly enriched by experimental tasks centered on next-generation sequencing techniques for identifying additional molecular targets of treatments which may integrate current standards of therapy in high-risk patients.

Entities:  

Keywords:  coagulation activation; locally advanced breast cancer; pCR; prognostic model; venous thromboembolism

Year:  2020        PMID: 32244657     DOI: 10.3390/cancers12040849

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  1 in total

1.  Risk Prediction and New Prophylaxis Strategies for Thromboembolism in Cancer.

Authors:  Patrizia Ferroni; Fiorella Guadagni; Mario Roselli
Journal:  Cancers (Basel)       Date:  2021-03-29       Impact factor: 6.639

  1 in total

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