Maitane Asensio

Dr. Maitane Asensio

University of Salamanca, Salamanca, Castille-Leon, Spain
+1
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 June 2020 in Cancers
Verified
Journal Article
Open access
PDF file
Jose MarinJose Marin
Jose Marin
Rocio MaciasRocio Macias
Rocio Macias
MMMaria J. Monte
Maria J. Monte
MRMarta R. Romero
Marta R. Romero
MAMaitane Asensio
Maitane Asensio
Oscar Briz SanchezOscar Briz Sanchez
Oscar Briz Sanchez
The poor outcome of patients with non-surgically removable advanced hepatocellular carcinoma (HCC), the most frequent type of primary liver cancer, is mainly due to the high refractoriness of this aggressive tumor to classical chemotherapy. Novel pharmacological approaches based on the use of inhibitors of tyrosine kinases (TKIs), mainly sorafenib and regorafenib, have provided only a modest prolongation of the overall survival in these HCC patients. The present review is an update of the available information regarding our understanding of the molecular bases of mechanisms of chemoresistance (MOC) with a significant impact on the response of HCC to existing pharmacological tools, which include classical chemotherapeutic agents, TKIs and novel immune-sensitizing strategies. Many of the more than one hundred genes involved in seven MOC have been identified as potential biomarkers to predict the failure of treatment, as well as druggable targets to develop novel strategies aimed at increasing the sensitivity of HCC to pharmacological treatments.

1 April 2018 in Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Verified
Journal Article
Closed access
Jose MarinJose Marin
Jose Marin
ELElisa Lozano
Elisa Lozano
EAElisa Herraez Aguilar
Elisa Herraez Aguilar
MAMaitane Asensio
Maitane Asensio
Silvia Di GiacomoSilvia Di Giacomo
Silvia Di Giacomo
RMRocio I.R. Macias
Rocio I.R. Macias

1 June 2018 in Clinics and Research in Hepatology and Gastroenterology
Verified
Journal Article
Closed access
Jose MarinJose Marin
Jose Marin
OBOscar Briz
Oscar Briz
EAElisa Herraez Aguilar
Elisa Herraez Aguilar
ELElisa Lozano
Elisa Lozano
MAMaitane Asensio
Maitane Asensio
RMRocio I.R. Macias
Rocio I.R. Macias

4 January 2022 in Pharmacological Research
Verified
Journal Article
Open access
MTMireia Tena-Garitaonaindia
Mireia Tena-Garitaonaindia
MAMaría Arredondo-Amador
María Arredondo-Amador
CMCristina Mascaraque
Cristina Mascaraque
MAMaitane Asensio
Maitane Asensio
JMJose J.G. Marin
Jose J.G. Marin
FMFermín Sánchez de Medina
Fermín Sánchez de Medina

30 July 2020 in Cancers
Verified
Journal Article
Open access
PDF file
Jose MarinJose Marin
Jose Marin
LPLaura Perez-Silva
Laura Perez-Silva
Rocio MaciasRocio Macias
Rocio Macias
MAMaitane Asensio
Maitane Asensio
APAna Peleteiro-Vigil
Ana Peleteiro-Vigil
EElisa Lozano
Elisa Lozano
Gastric adenocarcinoma (GAC) is the most common histological type of gastric cancer, the fifth according to the frequency and the third among the deadliest cancers. GAC high mortality is due to a combination of factors, such as silent evolution, late clinical presentation, underlying genetic heterogeneity, and effective mechanisms of chemoresistance (MOCs) that make the available antitumor drugs scarcely useful. MOCs include reduced drug uptake (MOC-1a), enhanced drug efflux (MOC-1b), low proportion of active agents in tumor cells due to impaired pro-drug activation or active drug inactivation (MOC-2), changes in molecular targets sensitive to anticancer drugs (MOC-3), enhanced ability of cancer cells to repair drug-induced DNA damage (MOC-4), decreased function of pro-apoptotic factors versus up-regulation of anti-apoptotic genes (MOC-5), changes in tumor cell microenvironment altering the response to anticancer agents (MOC-6), and phenotypic transformations, including epithelial-mesenchymal transition (EMT) and the appearance of stemness characteristics (MOC-7). This review summarizes updated information regarding the molecular bases accounting for these mechanisms and their impact on the lack of clinical response to the pharmacological treatment currently used in GAC. This knowledge is required to identify novel biomarkers to predict treatment failure and druggable targets, and to develop sensitizing strategies to overcome drug refractoriness in GAC.

22 March 2019 in Cancers
Verified
Journal Article
Open access
PDF file
Jose MarinJose Marin
Jose Marin
CCCandela Cives-Losada
Candela Cives-Losada
MAMaitane Asensio
Maitane Asensio
EElisa Lozano
Elisa Lozano
Oscar Briz SanchezOscar Briz Sanchez
Oscar Briz Sanchez
Rocio MaciasRocio Macias
Rocio Macias
The most frequent liver tumor in children is hepatoblastoma (HB), which derives from embryonic parenchymal liver cells or hepatoblasts. Hepatocellular carcinoma (HCC), which rarely affects young people, causes one fourth of deaths due to cancer in adults. In contrast, HB usually has better prognosis, but this is still poor in 20% of cases. Although more responsive to chemotherapy than HCC, the failure of pharmacological treatment used before and/or after surgical resection is an important limitation in the management of patients with HB. To advance in the implementation of personalized medicine it is important to select the best combination among available anti-HB drugs, such as platinum derivatives, anthracyclines, etoposide, tyrosine-kinase inhibitors, Vinca alkaloids, 5-fluorouracil, monoclonal antibodies, irinotecan and nitrogen mustards. This requires predicting the sensitivity to these drugs of each tumor at each time because, it should be kept in mind, that cancer chemoresistance is a dynamic process of Darwinian nature. For this goal it is necessary to improve our understanding of the mechanisms of chemoresistance involved in the refractoriness of HB against the pharmacological challenge and how they evolve during treatment. In this review we have summarized the current knowledge on the multifactorial and complex factors responsible for the lack of response of HB to chemotherapy.