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Articles by Benjamin Dekel
Proteomic landscape of Ewing sarcoma primary tumors and metastases
Abstract Ewing sarcoma (EWS), a rare pediatric bone tumor, poses unique therapeutic challenges due to its distinct microenvironment and limited molecular understanding. To gain a comprehensive molecular and functional view of the tumors in their microenvironment, we perform a deep mass spectrometry-based proteomic analysis of 170 tumor samples from 74 patients from primary, relapsed, and metastatic tumors.
Enabling tumor-specific drug delivery by targeting the Warburg effect of cancer
Keywords Warburg effect tumor metabolism lactate drug delivery nanoparticle chemotherapy immunotherapy Introduction The effectiveness of cancer therapies is limited by drug accessibility to tumor tissues and undesired toxicity to healthy tissues.1 The success of cancer treatment is thus critically dependent on the effective and specific delivery of the drug to the tumor, which can reduce the side effects while improving therapeutic efficacy.1,2 In the past decades, a better understanding of...
Characterization of Alternative Splicing in High-Risk Wilms’ Tumors
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Characterization of alternative splicing in high-risk Wilms tumors
Abstract The significant heterogeneity of Wilms' tumors between different patients is thought to arise from genetic and epigenetic distortions that occur during various stages of fetal kidney development in a way that is poorly understood. To address this, we characterized the heterogeneity of alternative mRNA splicing in Wilms' tumors using a publicly available RNAseq dataset of high-risk Wilms' tumors and normal kidney samples.
Characterization of Continuous Transcriptional Heterogeneity in High-Risk Blastemal-Type Wilms’ Tumors Using Unsupervised Machine Learning
Abstract : Wilms’ tumors are pediatric malignancies that are thought to arise from faulty kidney development. They contain a wide range of poorly differentiated cell states resembling various distorted developmental stages of the fetal kidney, and as a result, differ between patients in a continuous manner that is not well understood. Here, we used three computational approaches to characterize this continuous heterogeneity in high-risk blastemal-type Wilms’ tumors.
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