Article
Oncology
Paula Pinero, Marina Morillas, Natalia Gutierrez, Eva Barragan, Esperanza Such, Joaquin Brena, Maria C. Garcia-Hernandez, Cristina Gil, Carmen Botella, Jose M. Gonzalez-Navajas, Pedro Zapater, Pau Montesinos, Amparo Sempere, Fabian Tarin
Summary: The immunophenotypic characterization of acute myeloid leukemia is crucial for accurate diagnosis and follow-up. This study presents an automated multidimensional strategy to identify and characterize leukemia-associated immunophenotypes (LAIPs) and detect emerging aberrations in AML patients during follow-up. The proposed DFN/LAIP strategy improves the sensitivity and specificity of minimal residual disease monitoring and provides an objective method for LAIP identification and characterization.
Review
Immunology
Thomas Menter, Alexandar Tzankov
Summary: This review examines the complex relationship between leukemic cells and the tumor microenvironment in AML, focusing on niche cells and T-cell subsets, and explores potential therapeutic strategies for manipulating the tumor microenvironment.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Oncology
Claudia Nunez-Torron Stock, Carlos Jimenez Chillon, Fernando Martin Moro, Juan Marquet Palomanes, Kyra Velazquez Kennedy, Miguel Piris Villaespesa, Ernesto Roldan Santiago, Eulalia Rodriguez Martin, Anabelle Chinea Rodriguez, Valentin Garcia Gutierrez, Gemma Moreno Jimenez, Javier Lopez Jimenez, Pilar Herrera Puente
Summary: Secondary acute myeloid leukemia (s-AML) patients who undergo allogeneic stem-cell transplant (HSCT) have worse survival compared to de novo AML patients, particularly in those who achieve complete remission (CR) before transplant. Factors contributing to the poorer prognosis include an increased risk of relapse and non-relapse mortality. However, patients receiving MAC conditioning had comparable outcomes, regardless of leukemia ontogeny.
HEMATOLOGICAL ONCOLOGY
(2023)
Article
Multidisciplinary Sciences
Meike Farber, Yiyang Chen, Lucas Arnold, Michael Moellmann, Eva Boog-Whiteside, Yu-An Lin, H. Christian Reinhardt, Ulrich Duehrsen, Maher Hanoun
Summary: Targeting the interaction between leukemic cells and the microenvironment by inhibiting CD38 has the potential to enhance therapeutic efficacy in AML. However, while the anti-CD38 antibody daratumumab showed significant cytostatic efficacy in an in vitro model, it ultimately lacked robust anti-leukemic effects in vivo in a xenograft transplantation model.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Interdisciplinary Applications
Zelin Zhang, Sara Arabyarmohammadi, Patrick Leo, Howard Meyerson, Leland Metheny, Jun Xu, Anant Madabhushi
Summary: This article introduces a segmentation model based on conditional generative adversarial network for efficient segmentation of myeloblasts from slides of AML patients. Through validation experiments, it is confirmed that this method has better segmentation performance than other deep learning models, and prognostic models for predicting the risk of recurrence in AML patients have been constructed using the segmentation results.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Cell Biology
Omar Perbellini, Chiara Cavallini, Roberto Chignola, Marilisa Galasso, Maria T. Scupoli
Summary: This study reveals a high variability in signaling networks across different T-ALL cell lines and provides insight into the characterization of these differences using phospho-specific flow cytometry.
Article
Cell Biology
Anastasia M. M. Hughes, Vincent Kuek, Joyce Oommen, Grace-Alyssa Chua, Maria van Loenhout, Sebastien Malinge, Rishi S. S. Kotecha, Laurence C. C. Cheung
Summary: Components of the bone marrow microenvironment (BMM) play a significant role in the development, progression, and treatment response of acute lymphoblastic leukemia (B-ALL). This study investigated the cellular and transcriptome profiles of mesenchymal stem cells (MSCs) isolated from the BMM of an immunocompetent BCR-ABL1(+) model of B-ALL. The findings showed that leukemia-associated MSCs had reduced self-renewal capacity, upregulation of inflammatory signaling pathways, and downregulation of genes involved in extracellular matrix organization and osteoblastogenesis.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2023)
Article
Oncology
Emanuele Murgo, Elisabetta De Santis, Francesca Sansico, Valentina Melocchi, Tommaso Colangelo, Costanzo Padovano, Mattia Colucci, Annalucia Carbone, Beatrice Totti, Alireza Basti, Lisa Gottschlich, Angela Relogio, Nazzareno Capitanio, Fabrizio Bianchi, Gianluigi Mazzoccoli, Vincenzo Giambra
Summary: This study investigates the role of the biological clock in the regulation of cellular dynamics in T-ALL. The disruption of the circadian clock negatively affects LIC activity and JAK/STAT signaling in T-ALL cells. Targeting circadian components could be a potential therapeutic strategy for T-ALL treatment.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
(2023)
Review
Hematology
Marc Sorigue, Eloi Canamero, Milos D. Miljkovic
Summary: The clinical relevance of flow cytometry-based bone marrow involvement in B cell non-Hodgkin lymphoma is not well established. Studies on this topic are retrospective, of low methodological quality, and show heterogeneous findings.
Article
Biochemical Research Methods
Salvador Chulian, Bernadette Stolz, Alvaro Martinez-Rubio, Cristina Blazquez Goni, Juan Rodriguez Gutierrez, Teresa Caballero Velazquez, Agueda Molinos Quintana, Manuel Ramirez Orellana, Ana Castillo Robleda, Jose Luis Fuster M. Soler, Alfredo Minguela Puras, Maria V. Martinez D. Sanchez, Maria D. Rosa, Victor M. D. Perez-Garcia, Helen D. Byrne
Summary: This study uses Topological Data Analysis (TDA) to analyze flow cytometry data of patients with Acute Lymphoblastic Leukaemia (ALL). By combining Machine Learning techniques, we are able to accurately predict the risk of relapse in ALL patients and propose three different analysis pipelines of increasing complexity.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Pathology
Ludovic Lhermitte, Sylvain Barreau, Daniela Morf, Paula Fernandez, Georgiana Grigore, Susana Barrena, Maaike de Bie, Juan Flores-Montero, Monika Brueggemann, Ester Mejstrikova, Stefan Nierkens, Leire Burgos, Joana Caetano, Giuseppe Gaipa, Chiara Buracchi, Elaine Sobral da Costa, Lukasz Sedek, Tomasz Szczepanski, Carmen-Mariana Aanei, Alita van der Sluijs-Gelling, Alejandro Hernandez Delgado, Rafael Fluxa, Quentin Lecrevisse, Carlos E. Pedreira, Jacques J. M. van Dongen, Alberto Orfao, Vincent H. J. van der Velden, J. J. M. van Dongen, W. M. Bitter, B. R. Lubbers, C. I. Teodosio, M. Zlei, A. J. van der Sluijs-gelling, S. de Bruin-Versteeg, M. van der Burg, M. W. Schilham, V. H. J. van der Velden, A. W. Langerak, J. te Marvelde, A. E. Bras, J. Schilperoord-Vermeulen, R. Jugooa, K. C. Heezen, A. Orfao, J. Almeida, M. B. Vidriales, J. Flores-Montero, M. Perez-Andres, S. Matarraz, L. Martin, Q. Lecrevisse, J. J. Perez-Moran, N. Puig, A. Medina Almeida, M. Gomes da Silva, T. Faria, M. Ritgen, M. Szczepanowski, S. Kohlscheen, A. Laqua, E. Harbst, J. Finke, V. Asnafi, L. Lhermitte, E. Duroyon, J. Trka, O. Hrusak, T. Kalina, E. Mejstrikova, M. Novakova, D. Thurner, V. Kanderova, T. Szczepanski, L. Sedek, J. Bulsa, L. Slota, J. Kulis, C. E. Pedreira, E. Sobral da Costa, S. Nierkens, A. de Jong, A. de Koning, M. Lima, A. H. Santos, S. Boettcher, S. Lange, R. Engelmann, D. Paape, C. Machka, G. Gaipa, C. Burracchi, C. Bugarin, E. Lopez-Granados, L. del Pino Molina, L. Campos-Guyotat, C. Aanei, J. F. San Miguel, B. Paiva, L. Burgos, N. Villamor-Casas, L. Magnano, J. Philippe, C. Bonroy, B. Denys, A. Willems, P. Breughe, J. de Wolf, A. E. Sousa, S. L. Silva, P. Fernandez, D. Morf
Summary: The study developed an automated gating and identification tool to categorize cell subsets within acute leukemia samples, using a reference database of normal samples to differentiate normal cells. The tool showed high correlation and concordance in classifying leukemic cells compared to manual analysis, demonstrating its potential to improve immunophenotyping quality in laboratories.
Article
Biotechnology & Applied Microbiology
Ki Hyun Bae, Fritz Lai, Jamie Mong, Akiko Niibori-Nambu, Kiat Hwa Chan, Zhisheng Her, Motomi Osato, Min-Han Tan, Qingfeng Chen, Motoichi Kurisawa
Summary: This study presents a bone marrow-targetable green tea catechin-based micellar nanocomplex that synergistically enhances the anti-leukemic potency of sorafenib. It demonstrates effective eradication of leukemic blasts in bone marrow and improved survival rates in an AML-PDX mouse model.
JOURNAL OF NANOBIOTECHNOLOGY
(2022)
Article
Oncology
Debbie Piktel, Javohn C. Moore, Sloan Nesbit, Samuel A. Sprowls, Michael D. Craig, Stephanie L. Rellick, Rajesh R. Nair, Ethan Meadows, John M. Hollander, Werner J. Geldenhuys, Karen H. Martin, Laura F. Gibson
Summary: This study investigates the effects of pitavastatin in chemo-resistant ALL cells and provides evidence for the repurposing of this drug as a potential treatment for eliminating chemoresistant tumor cells. The results demonstrate that pitavastatin inhibits the proliferation of chemo-resistant ALL cells and induces apoptosis, highlighting its potential as a therapeutic agent in the treatment of chemo-resistant ALL.
Article
Chemistry, Multidisciplinary
Kutay Icoz, Ahmet Eken, Suzan Cinar, Aysegul Murat, Servet Ozcan, Ekrem Unal, Gunnur Deniz
Summary: This study reported the experimental results of immunomagnetic separation efficiency of blast cells from bone marrow of pediatric leukemia patients, achieving a 94.5% capture efficiency with CD10 nano beads. The feasibility for further developments was tested by analyzing patient samples with a microfluidic chip.
SEPARATION SCIENCE AND TECHNOLOGY
(2021)
Article
Oncology
Simone E. Dekker, Jessica Leonard, Lori Muffly
Summary: In this article, the authors review the use of measurable residual disease (MRD) in acute lymphoblastic leukemia (ALL). They discuss the increasing sensitivity of MRD detection, MRD surveillance, peripheral blood vs. bone marrow assessments, and CNS analysis. The utility of MRD in ALL has been well defined, but there are still some ongoing controversies and questions that need to be addressed in future studies.
CLINICAL LYMPHOMA MYELOMA & LEUKEMIA
(2022)
