Results 61 to 70 of about 87,373 (338)
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification [PDF]
arXiv, 2021 Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI is used to detect sites of disease across the entire skeletal system, but it requires significant expertise and is time-consuming to report due to the great number of images. To aid radiological reading, we propose an auxiliary task-
arxiv
Advanced Science, EarlyView.This study uncovers that CD38high monocytes discriminate sepsis and sterile inflammation and are associated with 28‐day mortality in bacterial sepsis. Targeting CD38 therapy reduces inflammatory response in monocytes and in sepsis mice model. Mechanistically, CD38‐HIF‐1α/glycolysis/MGO loop exacerbates sepsis‐induced immune dysregulation.
Ning Hua +19 more
wiley +1 more source
In Silico Approach for Identification of PI3K/mTOR Dual Inhibitors for Multiple Myeloma Treatment
European Journal of Biology, 2023 Objective: Multiple myeloma is a hematologic malignancy in which targeting phosphoinositide 3 kinase (PI3K) and/or the mammalian target of rapamycin (mTOR) individually has been shown to have anti-proliferative effects, however, inhibiting both proteins ...
İlke Maşalacı +4 more
doaj +1 more source
Advanced Science, EarlyView.This study identifies a super‐enhancer‐driven transcriptional regulatory circuit comprising BCL6, SMAD3, and NFIB that cooperate to drive cholesterol synthesis via SREBF2/HMGCR/FDFT1 activation and regulate CDK2/CCND3 for cell cycle control. Targeting this circuit with BI‐3802 or downstream inhibitors (Fatostatin/Lovastatin) overcomes abiraterone ...
Liling Jiang +18 more
wiley +1 more source
Molecular Crosstalk between Chromatin Remodeling and Tumor Microenvironment in Multiple Myeloma
Current Oncology, 2022 Multiple myeloma (MM) is a complex disease driven by numerous genetic and epigenetic alterations that are acquired over time. Despite recent progress in the understanding of MM pathobiology and the availability of innovative drugs, which have pronounced ...
Chandraditya Chakraborty +1 more
doaj +1 more source
HDAC6 and USP9X Control Glutamine Metabolism by Stabilizing GS to Promote Glioblastoma Tumorigenesis
Advanced Science, EarlyView.Glioblastoma (GBM) growth relies on glutamine synthetase (GS), which is stabilized by histone deacetylase 6 (HDAC6) and deubiquitinated by ubiquitin‐specific peptidase 9, X‐linked (USP9X). HDAC6 promotes GS deacetylation, while USP9X removes its K48‐linked polyubiquitination, enhancing GS stability.
Go Woon Kim +9 more
wiley +1 more source
Regression on imperfect class labels derived by unsupervised clustering [PDF]
, 2019 Outcome regressed on class labels identified by unsupervised clustering is custom in many applications. However, it is common to ignore the misclassification of class labels caused by the learning algorithm, which potentially leads to serious bias of the estimated effect parameters.
arxiv +1 more source
Advanced Science, EarlyView.This study demonstrates that mutant FAT1 promotes ASCL2‐driven, CPT1A‐dependent fatty acid oxidation, leading to resistance to CPI‐613‐mediated TCA cycle inhibition in head and neck cancer. In vivo gene depletion of mutant FAT1 with LNP‐sgFAT1 suppresses tumor growth and restores CPI‐613 sensitivity, revealing a targetable metabolic bypass with ...
Fanghui Chen +11 more
wiley +1 more source
Neoplasia: An International Journal for Oncology Research, 2010 The proteasome inhibitor bortezomib is clinically approved for the treatment of multiple myeloma. However, long-term remissions are difficult to achieve, and myeloma cells often develop secondary resistance to proteasome inhibitors.
Silke Meister +6 more
doaj +1 more source
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma [PDF]
arXiv, 2020 Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM is at the core of the present paper, exploiting radiomics and artificial intelligence to identify image-based biomarkers for MM.
arxiv