ELVIRA DEOLINDA RODRIGUES PEREIRA VELLOSO
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Clínica Médica, Faculdade de Medicina - Docente
LIM/31 - Laboratório de Genética e Hematologia Molecular, Hospital das Clínicas, Faculdade de Medicina
LIM/31 - Laboratório de Genética e Hematologia Molecular, Hospital das Clínicas, Faculdade de Medicina
18 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 18
- Patterns and Prognostic Impact of CNS Infiltration in Adults with Newly Diagnosed Acute Lymphoblastic Leukemia(2022) PERRUSO, Luiza Lapolla; VELLOSO, Elvira; ROCHA, Vanderson; REGO, Eduardo M.; SILVA, Wellington F.
- Venetoclax and Azacytidine Therapy in High-Risk Myelodysplastic Syndromes: A Retrospective Evaluation of a RealWorld Experience. Latin-American MDS Group - Glam(2022) IASTREBNER, Marcelo; CRISP, Renee Leonor; OVILLA, Roberto; LEON, Andres Gomez-De; PUENTE, Adriana Karola; DUARTE, Fernando Barroso; VELLOSO, Elvira D. R. P.; GUSMAO, Breno; VARELA, Ana; BOADA, Matilde; GRILLE, Sofia
- Myelodysplastic Syndromes in Latin-America - Results from a Novel International Registry: Re-Glam(2022) GRILLE, Sofia; VELLOSO, Elvira D. R. P.; BOADA, Matilde; CHAVEZ, Elia Apodaca; LEON, Andres Gomez-De; RODRIGUEZ-ZUNIGA, Anna Cecilia; MORENO, Emmanuel Martinez; PEREZ-JACOBO, Fernando; ALFONSO, Graciela; SERRANO, Juan Carlos; TEJEIRA, Natalia; DIAZ, Lilian; OLIVARES, Valentina; KORNBLIHTT, Laura; SCHUSTERSCHITZ, Sergio; IASTREBNER, Marcelo
- Splenic Diffuse Red Pulp Small B Cell Lymphoma: Transformation To Diffuse Large Cells B Lymphoma(2013) BEZERRA, Evandro Dantas; FONTENELE, Leila Patricia; PEREIRA, Juliana; LAGE, Luis Alberto de Padua Covas; MACIEL, Felipe; BARQUINERO, Leticia; CARVALHO, Priscila R.; SIQUEIRA, Scheila; VELLOSO, Elvira R. P.
- Long Term Outcomes of Adult Lymphoblastic Lymphoma Patients Treated with Pediatric Regimen in Brazil(2021) MAIA, Ana Carolina Arrais; SILVA, Wellington F.; VELLOSO, Elvira; REGO, Eduardo M.; PEREIRA, Juliana; ROCHA, Vanderson
- Differential diagnosis of bone marrow failure syndromes guided by machine learning(2023) GUTIERREZ-RODRIGUES, Fernanda; MUNGER, Eric; MA, Xiaoyang; GROARKE, Emma M.; TANG, Youbao; PATEL, Bhavisha A.; CATTO, Luiz Fernando B.; CLE, Diego V.; NIEWISCH, Marena R.; ALVES-PAIVA, Raquel M.; DONAIRES, Flavia S.; PINTO, Andre Luiz; BORGES, Gustavo; SANTANA, Barbara A.; MCREYNOLDS, Lisa J.; GIRI, Neelam; ALTINTAS, Burak; FAN, Xing; SHALHOUB, Ruba; SIWY, Christopher M.; DIAMOND, Carrie; RAFFO, Diego Quinones; CRAFT, Kathleen; KAJIGAYA, Sachiko; SUMMERS, Ronald M.; LIU, Paul; CUNNINGHAM, Lea; HICKSTEIN, Dennis D.; DUNBAR, Cynthia E.; PASQUINI, Ricardo; OLIVEIRA, Michel Michels De; VELLOSO, Elvira D. R. P.; ALTER, Blanche P.; SAVAGE, Sharon A.; BONFIM, Carmem; WU, Colin O.; CALADO, Rodrigo T.; YOUNG, Neal S.The choice to postpone treatment while awaiting genetic testing can result in significant delay in definitive therapies in patients with severe pancytopenia. Conversely, the misdiagnosis of inherited bone marrow failure (BMF) can expose patients to ineffectual and expensive therapies, toxic transplant conditioning regimens, and inappropriate use of an affected family member as a stem cell donor. To predict the likelihood of patients having acquired or inherited BMF, we developed a 2-step data-driven machine-learning model using 25 clinical and laboratory variables typically recorded at the initial clinical encounter. For model development, patients were labeled as having acquired or inherited BMF depending on their genomic data. Data sets were unbiasedly clustered, and an ensemble model was trained with cases from the largest cluster of a training cohort (n = 359) and validated with an independent cohort (n = 127). Cluster A, the largest group, was mostly immune or inherited aplastic anemia, whereas cluster B comprised underrepresented BMF phenotypes and was not included in the next step of data modeling because of a small sample size. The ensemble cluster A-specific model was accurate (89%) to predict BMF etiology, correctly predicting inherited and likely immune BMF in 79% and 92% of cases, respectively. Our model represents a practical guide for BMF diagnosis and highlights the importance of clinical and laboratory variables in the initial evaluation, particularly telomere length. Our tool can be potentially used by general hematologists and health care providers not specialized in BMF, and in under-resourced centers, to prioritize patients for genetic testing or for expeditious treatment.
conferenceObject Correlation of Morphological Dysplasia and Immunophenotypic Features in Myelodysplastic Syndromes(2016) VELLOSO, Elvira D. Rodrigues Pereira; COSENTINO, Rosana M.; SUGANUMA, Liliana Mitie; BARROSO, Rodrigo de Souza; BACAL, Nydia Strachman; COLOMBINI, Marjorie P.; SILVEIRA, PauloconferenceObject Cytogenetic Features and Prognosis of 943 South American Patients with De Novo Myelodysplastic Syndromes: A Multicenter Study(2014) BELLI, Carolina; PINHEIRO, Ronald Feitosa; MAGALHAES, Silvia M. M.; GONZALEZ, Jacqueline; IASTREBNER, Marcelo; PRATES, Maria Virginia; BENASAYAG, Silvia; BESTACH, Yesica; CORDEIRO, Juliana; SILVA, Marcela Cavalcante de Andrade; TANIZAWA, Roberta da Silva; BENGIO, Raquel M.; LANG, Cecilia; NUCIFORA, Elsa; LARRIPA, Irene B.; VELLOSO, Elvira R. P.- Assessing Early Mortality in Intensively-Treated Acute Myeloid Leukemia in a Developing Country: Genetic, Laboratory Findings, and Comorbidities Add Prognostic Information(2020) MENDES, Fernanda Rodrigues; SILVA, Wellington F.; MELO, Raphael Bandeira; SILVEIRA, Douglas R. A.; VELLOSO, Elvira; ROCHA, Vanderson; REGO, Eduardo M.
- WHO-2016 Classification in ALL By Cytogenetics, FISH and Molecular Biology - Experience of Two Reference Centers in Brazil(2018) VELLOSO, Elvira D. R. P.; CORDEIRO, Maria Gabriella; LUCON, Danielle; KISHIMOTO, Renata; LEAL, Aline Medeiros; MAIA, Ana Carolina Arrais; BUCCHERI, Valeria; BENDIT, Israel; SILVA JR., Wellington Fernandes; MANGUEIRA, Cristovao; REGO, Eduardo Magalhaes; ROCHA, Vanderson