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15 results on '"Suarez, Milagros"'

2. Patient-Derived Models of Cancer in the NCI PDMC Consortium: Selection, Pitfalls, and Practical Recommendations

Author

Habowski, Amber N, Budagavi, Deepthi P, Scherer, Sandra D, Aurora, Arin B, Caligiuri, Giuseppina, Flynn, William F, Langer, Ellen M, Brody, Jonathan R, Sears, Rosalie C, Foggetti, Giorgia, Estape, Anna Arnal, Nguyen, Don X, Politi, Katerina A, Shen, Xiling, Hsu, David S, Peehl, Donna M, Kurhanewicz, John, Sriram, Renuka, Suarez, Milagros, Xiao, Sophie, Du, Yuchen, Li, Xiao-Nan, Navone, Nora M, Labanca, Estefania, and Willey, Christopher D

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Biotechnology, Cancer, Good Health and Well Being, patient derived models of cancer, organoids, mouse models, sequencing, tumor microenvironment, tumor cells, metastasis, Oncology and carcinogenesis
Abstract

For over a century, early researchers sought to study biological organisms in a laboratory setting, leading to the generation of both in vitro and in vivo model systems. Patient-derived models of cancer (PDMCs) have more recently come to the forefront of preclinical cancer models and are even finding their way into clinical practice as part of functional precision medicine programs. The PDMC Consortium, supported by the Division of Cancer Biology in the National Cancer Institute of the National Institutes of Health, seeks to understand the biological principles that govern the various PDMC behaviors, particularly in response to perturbagens, such as cancer therapeutics. Based on collective experience from the consortium groups, we provide insight regarding PDMCs established both in vitro and in vivo, with a focus on practical matters related to developing and maintaining key cancer models through a series of vignettes. Although every model has the potential to offer valuable insights, the choice of the right model should be guided by the research question. However, recognizing the inherent constraints in each model is crucial. Our objective here is to delineate the strengths and limitations of each model as established by individual vignettes. Further advances in PDMCs and the development of novel model systems will enable us to better understand human biology and improve the study of human pathology in the lab.

Published
2024

3. Targeting GBM with an Oncolytic Picornavirus SVV-001 alone and in combination with fractionated Radiation in a Novel Panel of Orthotopic PDX models

Author

Zhang, Huiyuan, Du, Yuchen, Qi, Lin, Xiao, Sophie, Braun, Frank K., Kogiso, Mari, Huang, Yulun, Huang, Frank, Abdallah, Aalaa, Suarez, Milagros, Karthick, Sekar, Ahmed, Nabil M., Salsman, Vita S., Baxter, Patricia A., Su, Jack M., Brat, Daniel J., Hellenbeck, Paul L., Teo, Wan-Yee, Patel, Akash J., and Li, Xiao-Nan

Published
2023
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5. Direct Implantation of Patient Brain Tumor Cells into Matching Locations in Mouse Brains for Patient-Derived Orthotopic Xenograft Model Development

Author

Qi, Lin, primary, Baxter, Patricia, additional, Kogiso, Mari, additional, Zhang, Huiyuan, additional, Braun, Frank K., additional, Lindsay, Holly, additional, Zhao, Sibo, additional, Xiao, Sophie, additional, Abdallah, Aalaa Sanad, additional, Suarez, Milagros, additional, Huang, Zilu, additional, Teo, Wan Yee, additional, Yu, Litian, additional, Zhao, Xiumei, additional, Liu, Zhigang, additional, Huang, Yulun, additional, Su, Jack M., additional, Man, Tsz-Kwong, additional, Lau, Ching C., additional, Perlaky, Laszlo, additional, Du, Yuchen, additional, and Li, Xiao-Nan, additional

Published
2024
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8. Silencing GMPPB Inhibits the Proliferation and Invasion of GBM via Hippo/MMP3 Pathways

Author

Huang, Zi-Lu, primary, Abdallah, Aalaa Sanad, additional, Shen, Guang-Xin, additional, Suarez, Milagros, additional, Feng, Ping, additional, Yu, Yan-Jiao, additional, Wang, Ying, additional, Zheng, Shuo-Han, additional, Hu, Yu-Jun, additional, Xiao, Xiang, additional, Liu, Ya, additional, Liu, Song-Ran, additional, Chen, Zhong-Ping, additional, Li, Xiao-Nan, additional, and Xia, Yun-Fei, additional

Published
2023
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10. Impact of the COVID-19 pandemic on the diagnosis, management and prognosis of infective endocarditis

Author

de Alarcón, Arístides, Gutiérrez-Carretero, Encarnación, Luque-Márquez, Rafael, Baz, Blanca Anaya, López-Cortés, Luis Eduardo, Baena, Zaira Palacios, García López, María Victoria, Burgos, Guillermo Ojeda, Ciézar, Antonio Pláta, Reguera Iglesias, José María, Delgado, Ricardo Vivancos, Hidalgo-Tenorio, Carmen, Sequera, Sergio, Ch, Fariñas, María Carmen, González-Rico, Claudia, Gutiérrez-Díez, José Francisco, Cabezón, Gonzalo, López, Javier, San Román, Alberto, Almirante, Benito, Escolà-Vergé, Laura, Fernández, Rubén, Fernández-Hidalgo, Nuria, Gonzàlez-Alujas, Maria Teresa, Maisterra, Olga, Oristrell, Gerard, Pizzi, María Nazarena, Rello, Pau, Ríos, Remedios, Roque, Albert, Sambola, Antonia, Soriano, Toni, Cuervo, Guillermo, Grau, Immaculada, Grillo, Sara, Pruñonosa, Lourdes Mateu, Pedro-Botet Montoya, Maria Lluïsa, Camazón, Nuria Vallejo, Hernández-Meneses, Marta, Miro, Jose M., Quintana, Eduard, Barros, Antonio José, Gurgui, Mercè, Rivera, Alba, Castelo Corral, María Laura, Vidal, Efrén Sánchez, Sousa, Dolores, Pérez-Rodríguez, María Teresa, Sousa, Adrián, Suárez, Milagros, Ribas Fernández, Maria Àngels, Barca, Laura Varela, Bonet, Laura Vidal, García-Álvarez, Lara, Oteo, José A., Baza, Adrián Jerónimo, Olmos, Carmen, Vilacosta, Isidre, Domínguez-Pérez, Laura, López-Medrano, Francisco, Solera Rallo, Javier T., Moya Mur, José Luis, Elorza, Enrique Navas, Mayor, Andrea Kallmeyer, Pello, Ana María, Roca, Luis Nieto, García, María Aguilera, de las Cuevas Torres, Carmen, Béjar, Carmen Sáez, de Castro Campos, Daniel, Domínguez, Fernando, Ramos-Martínez, Antonio, García, Patricia Muñoz, Samperio, María Olmedo, Minero, Maricela Valerio, Vázquez, Elisa García, Torres, Alicia Hernández, Escudero, Encarnación Moral, Goenaga Sánchez, Miguel Ángel, Urkola, Xavier Kortajarena, Jaka, Karlos Reviejo, Bereciartua, Elena, Goikoetxea, Josune, Rodríguez, Regino, and Acevedo, Martín Reyes

Published
2021
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11. Inhibitory effects of Tomivosertib in acute myeloid leukemia

Author

Suarez, Milagros, primary, Blyth, Gavin T., additional, Mina, Alain A., additional, Kosciuczuk, Ewa M., additional, Dolniak, Blazej, additional, Dinner, Shira, additional, Altman, Jessica K., additional, Eklund, Elizabeth A., additional, Saleiro, Diana, additional, Beauchamp, Elspeth M., additional, and Platanias, Leonidas C., additional

Published
2021
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12. Creencias y Prácticas Sobre Estilos de Vida en Estudiantes del 8° Semestre de la Facultad de Enfermería - Universidad Católica de Santa María Arequipa 2017

Author

Cardeña Valverde, Mirta, Bellido Nina, Jimena del Carmen, Campos Suarez, Milagros Alejandra, Cardeña Valverde, Mirta, Bellido Nina, Jimena del Carmen, and Campos Suarez, Milagros Alejandra

Abstract

CREENCIAS Y PRÁCTICAS SOBRE ESTILOS DE VIDA EN ESTUDIANTES DEL 8° SEMESTRE DE LA FACULTAD DE ENFERMERIA – UNIVERSIDAD CATÓLICA DE SANTA MARÍA AREQUIPA 2017 El hablar sobre estilos de vida se refiere al total de comportamiento que se ponen en práctica de manera consistente y constante durante toda la vida. El presente estudio de tipo relacional tuvo como objetivos: Determinar las Creencias sobre estilos de vida que tienen los estudiantes del 8° Semestre de la Facultad de Enfermería de la UCSM; Señalar las Prácticas de los estilos de vida que tienen los estudiantes y Establecer la relación de creencias con las Prácticas sobre los estilos de vida. Metodología de la investigación relacional, de corte transversal; aplicándose el Cuestionario de “Creencias y Prácticas Sobre Estilos de Vida Saludable” de Nadia Rossmery Ponce Ccuno y Cols. a 27 estudiantes del 8º semestre. Concluyendo que, 63% mantienen creencias saludables sobre los estilos de vida y el 92,6% mantienen prácticas poco saludables existiendo una relación inversa y negativa de -60.83% deduciendo que a creencias saludables prácticas poco saludables y viceversa. PALABRAS CLAVES: CREENCIAS - PRÁCTICAS – ESTILOS DE VIDA

Published
2018

15. Validation of a clinical decision tree to predict if a patient has a bacteraemia due to a β-lactamase producing organism.

Author

Sousa, Adrian, Pérez-Rodríguez, María Teresa, Suarez, Milagros, Val, Nuria, Martínez-Lamas, Lucia, Nodar, Andrés, and Crespo, Manuel

Abstract

Background: In recent years, several scores and algorithms have been developed in order to guide empirical antibiotic treatment in patients with gram-negative bacilli (GNB) bacteraemia according to the risk of extended-spectrum β-lactamase (BL) producing. Some of these algorithms do not have easy applicability or present some limitations in their validation. The aim of our study was to validate a recently designed decision tree in our prospective cohort of bacteraemia due to gram-negative bacilli. Methods: We prospectively identified and analyzed all bacteraemia due to gram-negative bacilli in adult patients in our centre between January 2015 and December 2016. Previously developed clinical decision tree was used to classify patients in each of the terminal nodes. Patients were classified as BL group according to whether they were producers of any type of BL. The statistical power of the tree was analyzed by receiver operating characteristics (ROC) curve and by calculation of C-statistics. Results: A total of 448 episodes of bacteraemia were included; 132 (29.5%) were BL group; 68 (15.1%) ESBL producing, 43 (9.6%) due to AmpC and 21 (4.7%) isolates of Pseudomonas aeruginosa. The original clinical decision tree was modified according to the results of our multivariate analysis. The modified tree has a sensitivity of 71%, specificity of 92%, predictive positive value (PPV) of 79% and predictive negative value (NPV) of 88% generating an ROC curve with a C-statistic of 0.76. Conclusions: An easy-to-apply clinical decision tree could be used at the exact moment of diagnosis and adjust the empirical antibiotic treatment in patients with gram-negative bacilli bacteraemia. [ABSTRACT FROM AUTHOR]

Published
2019
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