Haematologica (Jun 2020)

Thrombotic biomarkers for risk prediction of malignant disease recurrence in patients with early stage breast cancer

  • Cinzia Giaccherini,
  • Marina Marchetti,
  • Giovanna Masci,
  • Cristina Verzeroli,
  • Laura Russo,
  • Luigi Celio,
  • Roberta Sarmiento,
  • Sara Gamba,
  • Carmen J. Tartari,
  • Erika Diani,
  • Alfonso Vignoli,
  • Paolo Malighetti,
  • Daniele Spinelli,
  • Carlo Tondini,
  • Sandro Barni,
  • Francesco Giuliani,
  • Fausto Petrelli,
  • Andrea D’Alessio,
  • Giampietro Gasparini,
  • Filippo De Braud,
  • Armando Santoro,
  • Roberto Labianca,
  • Anna Falanga,
  • on behalf of the HYPERCAN Investigators

DOI
https://doi.org/10.3324/haematol.2019.228981
Journal volume & issue
Vol. 105, no. 6

Abstract

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In cancer patients, hypercoagulability is a common finding. It has been associated with an increased risk of venous thromboembolism, but also to tumor proliferation and progression. In this prospective study of a large cohort of breast cancer patients, we aimed to evaluate whether pre-chemotherapy abnormalities in hemostatic biomarkers levels: (i) are associated with breast cancer-specific clinico-pathological features; and (ii) can predict for disease recurrence. D-dimer, fibrinogen, prothrombin fragment 1+2, and FVIIa/antithrombin levels were measured in 701 early-stage resected breast cancer patients candidate to adjuvant chemotherapy and prospectively enrolled in the HYPERCAN study. Significant prognostic parameters for disease recurrence were identified by Cox regression multivariate analysis and used for generating a risk assessment model. Pre-chemotherapy D-dimer, fibrinogen, and pro-thrombin fragment 1+2 levels were significantly associated with tumor size and lymph node metastasis. After 3.4 years of follow up, 71 patients experienced a recurrence. Cox multivariate analysis identified prothrombin fragment 1+2, tumor size, and Luminal B HER2-negative or triple negative molecular subtypes as independent risk factors for disease recurrence. Based on these variables, we generated a risk assessment model that significantly differentiated patients at low- and high-risk of recurrence (cumulative incidence: 6.2 vs. 20.7%; Hazard Ratio=3.5; P