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dc.contributor.authorRamírez Tortosa, César Luis 
dc.contributor.authorGálvez Navas, José María
dc.contributor.authorPérez Ramírez, Cristina 
dc.contributor.authorQuiles Morales, José Luis 
dc.contributor.authorJiménez Morales, Alberto
dc.contributor.authorRamírez Tortosa, María Carmen 
dc.date.accessioned2022-12-02T09:07:50Z
dc.date.available2022-12-02T09:07:50Z
dc.date.issued2022-11-02
dc.identifier.citationRamírez-Tortosa, C.L.; Alonso-Calderón, R.; Gálvez-Navas, J.M.; Pérez-Ramírez, C.; Quiles, J.L.; Sánchez-Rovira, P.; Jiménez-Morales, A.; Ramírez-Tortosa, M. Hypoxia-Inducible Factor-1 Alpha Expression Is Predictive of Pathological Complete Response in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy. Cancers 2022, 14, 5393. [https://doi.org/10.3390/cancers14215393]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/78240
dc.descriptionSupplementary Materials The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers14215393/s1, Table S1: Relation between HIF-1α expression and pAKT and pMAPK; Table S2: Logistic regression model as a predictive factor of response to treatment.es_ES
dc.description.abstractTo demonstrate the value of hypoxia-inducible factor-1α (HIF-1α) in predicting response in patients with breast cancer receiving standard neoadjuvant chemotherapy (NAC). Methods: 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. Results: 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. Conclusions: Overexpression of HIF-1α is a predictor of pCR and shorter DFS; it would be valuable to confirm these results in prospective studies.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectHypoxia-inducible factor 1es_ES
dc.subjectBreast canceres_ES
dc.subjectNeoadjuvant chemotherapyes_ES
dc.subjectPrognostic factores_ES
dc.subjectPathological complete responsees_ES
dc.titleHypoxia-Inducible Factor-1 Alpha Expression Is Predictive of Pathological Complete Response in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapyes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/cancers14215393
dc.type.hasVersionVoRes_ES


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