%0 Journal Article
%A Ramírez-Tortosa, César L
%A Alonso-Calderón, Rubén
%A Gálvez-Navas, José María
%A Pérez-Ramírez, Cristina
%A Quiles, José Luis
%A Sánchez-Rovira, Pedro
%A Jiménez-Morales, Alberto
%A Ramírez-Tortosa, MCarmen
%T Hypoxia-Inducible Factor-1 Alpha Expression Is Predictive of Pathological Complete Response in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy.
%D 2022
%@ 2072-6694
%U http://hdl.handle.net/10668/20924
%X To demonstrate the value of hypoxia-inducible factor-1α (HIF-1α) in predicting response in patients with breast cancer receiving standard neoadjuvant chemotherapy (NAC). Ninety-five women enrolled in two prospective studies underwent biopsies for the histopathological diagnosis of breast carcinoma before receiving NAC, based on anthracyclines and taxanes. For expression of HIF-1α, EGFR, pAKT and pMAPK, tumor samples were analyzed by immunohistochemistry in tissues microarrays. Standard statistical methods (Pearson chi-square test, Fisher exact test, Kruskal-Wallis test, Mann-Whitney test and Kaplan-Meier method) were used to study the association of HIF-1α with tumor response, survival and other clinicopathologic variables/biomarkers. HIF-1α expression was positive in 35 (39.7%) cases and was significantly associated to complete pathological response (pCR) (p = 0.014). HIF-1α expression was correlated positively with tumor grade (p = 0.015) and Ki-67 expression (p = 0.001) and negativity with progesterone receptors (PR) (p = 0.04) and luminal A phenotype expression (p = 0.005). No correlation was found between HIF-1α expression and EGFR, pAKT and pMAPK. In terms of survival, HIF-1α expression was associated with a significantly shorter disease-free survival (p = 0.013), being identified as an independent prognostic factor in multivariate analysis. Overexpression of HIF-1α is a predictor of pCR and shorter DFS; it would be valuable to confirm these results in prospective studies.
%K breast cancer
%K hypoxia-inducible factor 1
%K neoadjuvant chemotherapy
%K pathological complete response
%K prognostic factor
%~