Results 121 to 130 of about 531,069 (346)

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

A case report of secondary B-cell acute lymphoblastic leukemia treated with a combination of FLT3 inhibitor and decitabine

Frontiers in Oncology
Secondary acute lymphoblastic leukemia (s-ALL) refers to acute lymphoblastic leukemia that occurs after a previous malignant tumor, including therapy-related acute lymphoblastic leukemia (t-ALL) and prior malignant tumor acute lymphoblastic leukemia (pm ...
Mengci Hu, Wenzhe Li, Pan Li, Jie Tan, Ya Wang, Ya Wang   +5 more
doaj   +1 more source

JNK signalling in cancer: In need of new, smarter therapeutic targets [PDF]

, 2013
Copyright © 2013 The British Pharmacological Society. This is the accepted version of the following article: Bubici, C. and Papa, S. (2014), JNK signalling in cancer: in need of new, smarter therapeutic targets.
Adams, Ahmed, Anbalagan, Annunziata, Antonyak, Bain, Barbarulo, Barr, Behrens, Bennett, Bharti, Bogoyevitch, Bogoyevitch, Borsello, Bost, Carboni, Cazanave, Cellurale, Cellurale, Cellurale, Chang, Chang, Chauhan, Chen, Chen, Chen, Chen-Deutsch, Cho, Choi, Chromik, Cilloni, Cripe, Cui, Cui, Das, Davis, Deininger, Dérijard, Eferl, Estey, Farazi, Ferrandi, Finegan, Fuchs, Gaillard, Gao, Gao, Gilmore, Goenka, Graff, Gururajan, Hagiwara, He, Heo, Hess, Hideshima, Hideshima, Hideshima, Hirosumi, Ho, Huang, Hui, Hunot, Jaeschke, Jagtap, Jemal, Johnson, Kamenecka, Kaneto, Kaoud, Ke, Keats, Kersting, Kuan, Kuperwasser, Li, Llovet, Lloyd, LoGrasso, Luedde, Maclean, Maeda, Mamay, Manning, Manning, Min, Mucha, Murati, Nagata, Nateri, Ngoei, Ngoei, Nitta, Oleinik, Owens, Papa, Papa, Plantevin Krenitsky, Qiu, Raitano, Reinecke, Ricard, Rodrigues, Ronaldson, Roy, Sabapathy, Sakurai, Schramek, Seki, She, Siddiqui, Smeal, Srivastava, Stebbins, Su, Su, Szczepankiewicz, Takahashi, Tong, Tournier, Tsuiki, Waetzig, Wagner, Wang, Wang, Webster, Whitmarsh, Whitmarsh, Yamamoto, Yan, Yang, Yao, Yoon, Yoshida, Zhang, Zhang, Zhang, Zhang   +137 more
core   +2 more sources

B Lymphoblastic Leukemia/Lymphoma with t(1;19)(q23;p13.3); E2A-PBX1 (TCF3-PBX1) [PDF]

, 2020
National Cancer Institute
openalex   +1 more source

CRISPR Enabled Precision Oncology: From Gene Editing to Tumor Microenvironment Remodeling

Med Research, EarlyView.
CRISPR technology has progressed from a prokaryotic immune system to a diverse suite of editing platforms, including Cas nucleases, base and prime editors, and RNA‐targeting enzymes. These advances enable precise genomic and epigenomic interventions, high‐throughput functional screening, and immune engineering.
Kailai Li, Peixin Huang, Yue Qian, Anqi Lin, Jingjun He, Junyi Shen, Li Chen, Kai Miao, Jian Zhang   +8 more
wiley   +1 more source

Targeting BCL-2 regulated apoptosis in cancer [PDF]

, 2018
The ability of a cell to undergo mitochondrial apoptosis is governed by pro- and anti-apoptotic members of the BCL-2 protein family. The equilibrium of pro- versus anti-apoptotic BCL-2 proteins ensures appropriate regulation of programmed cell death ...
Campbell, Kirsteen J., Tait, Stephen W.J.   +1 more
core   +1 more source

Applications of Flow Cytometric Immunophenotyping in the Diagnosis and Posttreatment Monitoring of B and T Lymphoblastic Leukemia/Lymphoma

Cytometry. Part B, Clinical cytometry, 2019
In this review, we discuss applications of flow cytometric immunophenotyping (FCI) in the diagnostic evaluation and posttreatment monitoring of B and T lymphoblastic leukemia/lymphoma.
Joseph A. DiGiuseppe, B. Wood
semanticscholar   +1 more source

Development and validation of a nutrition risk screening for patients with childhood cancer in Brazil (NUTRICCAN)

Nutrition in Clinical Practice, EarlyView.
Abstract Background Diagnosing malnutrition in patients with pediatric cancer is challenging because tumor masses can interfere with anthropometric measurements. STRONGkids considers cancer a general risk factor, whereas Screening Tool for Childhood Cancer (SCAN) classifies patients as at risk or not, potentially missing those who need nutrition ...
Cristiane Ferreira Marçon, Carolina Araújo dos Santos, Fernanda Luisa Ceragioli Oliveira   +2 more
wiley   +1 more source

The Evolution of Pneumocystis jirovecii Pneumonia Prophylaxis for Pediatric Patients With Extracranial Solid Tumors: A Review of Historical Insights and Future Directions

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pneumocystis jirovecii pneumonia (PJP) remains a modern‐day complication for pediatric patients receiving treatment for extracranial solid tumors (ST), highlighting the need for reconsideration of our current approach toward PJP prophylaxis. This critical review aims to evaluate both universal and risk‐stratified approaches to PJP prophylaxis ...
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Cop1 constitutively regulates c-Jun protein stability and functions as a tumor suppressor in mice [PDF]

, 2011
Biochemical studies have suggested conflicting roles for the E3 ubiquitin ligase constitutive photomorphogenesis protein 1 (Cop 1; also known as Rfwd2) in tumorigenesis, providing evidence for both the oncoprotein c-Jun and the tumor suppressor p53 as ...
Aleksandra Zwolinska, Angel, Baert, Bannister, Chang, Chen, Danovi, de Launoit, Dentin, Derijard, Dieter Defever, Domenico Migliorini, Dornan, Edwards, Eferl, Enrico Radaelli, Fuchs, Geertrui Denecker, Horn, Jean-Christophe Marine, Karin, Kato, Kominami, Krummel, Kyriakis, Lopez-Bergami, Mariani, Marine, Mendrysa, Morse HC, Nakayama, Ouyang, Qi, Rajesh Vyas, Ramaswamy, Rincon, Rossant, Schreiber, Sven Bogaerts, Tino Hochepied, Vanessa Depaepe, Wang, William C. Skarnes, Zhong   +43 more
core   +2 more sources