We prospectively compared allogeneic hematopoietic stem cell transplantation (allo-HSCT) with chemotherapy as a post-remission therapy in a multicenter trial (JALSG AML97) of adult patients with intermediate or poor risk acute myeloid leukemia (AML). Of 503 patients aged 15-50 years old registered between December 1997 and July 2001, 392 achieved complete remission (CR). CR patients classified in the intermediate or poor risk group using a new scoring system were tissue typed. Seventy-three with and 92 without an HLA-identical sibling were assigned to the donor and no-donor groups. Of 73 patients in the donor group, 38 (52%) received allo-HSCT during CR1 and 17 (23%) after relapse. Intention-to-treat analysis revealed that the relapse incidence was reduced in the donor group (52 vs. 77%; p = 0.008), and the disease-free survival (DFS) improved (39 vs. 19%; p = 0.016), but overall survival (OS) was not significantly different (46 vs. 29%; p = 0.088). The OS benefit was seen in the patients aged 36-50 years old (49 vs. 24%; p = 0.031), suggesting an advantage of allo-HSCT among older patients with leukemia that is more resistant to chemotherapy than that among younger patients.
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http://dx.doi.org/10.1007/s12185-009-0483-2 | DOI Listing |
Free Radic Biol Med
January 2025
Centro Andaluz de Biología del Desarrollo, Universidad Pablo de Olavide-CSIC-JA, Sevilla, Spain; CIBERER, U729, Instituto de Salud Carlos III, Madrid, Spain. Electronic address:
The interference of the expression of each of the genes involved in the synthesis of coenzyme Q (CoQ) in Drosophila melanogaster can help to understand the pathophysiology of CoQ-dependent mitochondrial diseases in humans. We have knocked-down all genes involved in the CoQ biosynthesis pathway at different temperatures to induce depletion of CoQ at different levels throughout the body and in a tissue-specific manner. The efficiency of the knockdowns was quantified by Q-RTPCR and determination of CoQ levels by HPLC-UV+ECD.
View Article and Find Full Text PDFCrit Rev Oncol Hematol
January 2025
Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea. Electronic address:
Background: Despite numerous meta-analyses comparing the efficacy and safety of immunotherapy-based combination therapies, the optimal therapeutic combinations remain unclear. This study aims to evaluate the optimal application of all immunotherapy-based combination therapy for advanced/metastatic renal cell carcinoma, focusing on efficacy and safety.
Methods: We systemically searched the Web of Science, Cochrane Library, and PubMed for studies regarding the first-line immunotherapy-based combination therapy in patients with advanced or metastatic renal cell carcinoma until April 15, 2024.
Pharmaceutics
January 2025
Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche (STEBICEF), University of Palermo, Via Archirafi 32, 90123 Palermo, Italy.
: Following tooth extraction, resveratrol (RSV) can support healing by reducing inflammation and microbial risks, though its poor solubility limits its effectiveness. This study aims to develop a solid nanocomposite by embedding RSV in lipid nanoparticles (mLNP) within a hydrophilic matrix, to the scope of improving local delivery and enhancing healing. Hydroxyapatite (HXA), often used as a bone substitute, was added to prevent post-extraction alveolus volume reduction.
View Article and Find Full Text PDFJ Clin Med
January 2025
Research Institute Children's Cancer Center Hamburg, 20251 Hamburg, Germany.
: Neuroblastoma is a highly aggressive pediatric cancer that arises from immature nerve cells and exhibits a broad spectrum of clinical presentations. While low- and intermediate-risk neuroblastomas often have favorable outcomes, high-risk neuroblastomas are associated with poor prognosis and significant treatment challenges. The complex genetic networks driving these high-risk cases remain poorly understood.
View Article and Find Full Text PDFJ Clin Med
January 2025
Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), 39100 Bolzano, Italy.
: This study investigates the potential of artificial intelligence (AI), specifically large language models (LLMs) like ChatGPT, to enhance decision support in diagnosing epilepsy. AI tools can improve diagnostic accuracy, efficiency, and decision-making speed. The aim of this study was to compare the level of agreement in epilepsy diagnosis between human experts (epileptologists) and AI (ChatGPT), using the 2014 International League Against Epilepsy (ILAE) criteria, and to identify potential predictors of diagnostic errors made by ChatGPT.
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