ArticleOncology letters2026
Vasculogenic mimicry and breast cancer prognosis: Insights into predictive model development.
Article in Oncology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Breast cancer remains one of the most prevalent malignancies among women worldwide. Although advances in multimodal therapies have markedly improved clinical outcomes, recurrence and metastasis continue to pose major challenges. Vasculogenic mimicry (VM), a process in which tumor cells form vessel-like channels in the absence of endothelial cells, provides an alternative blood supply for tumor growth. The aim of the present study was to elucidate the association between VM and breast cancer prognosis and to establish a prognostic prediction model incorporating VM. The present study retrospectively analyzed 120 patients diagnosed with breast cancer and treated with curative surgery at Affiliated Hospital of Guangdong Medical University (Zhanjiang, China) between January 2020 and April 2022. Routine postoperative pathological assessment was performed, followed by CD34/periodic acid-Schiff double staining to detect VM structures within tumor tissues. Associations between VM and baseline characteristics, peripheral blood indices, pathological features and clinical variables were examined. Cox proportional hazards regression analysis was used to evaluate the prognostic significance of VM and a predictive model was constructed by integrating VM with other independent prognostic factors. Disease-free survival (DFS) was defined as the study endpoint. Model performance was evaluated and survival analysis was performed for individual risk factors as well as for the composite model. The presence of VM was reported to be significantly associated with advanced T stage (P=0.030), N stage (P=0.022), higher overall tumor stage (P=0.006) and elevated serum total cholesterol (P=0.015). VM positivity was associated with worse prognosis, with DFS significantly reduced in VM
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