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Peter M. Hoogerbrugge

Researcher at Radboud University Nijmegen

Publications -  158
Citations -  6588

Peter M. Hoogerbrugge is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Leukemia & Cancer. The author has an hindex of 42, co-authored 151 publications receiving 5709 citations. Previous affiliations of Peter M. Hoogerbrugge include Boston Children's Hospital & Radboud University Nijmegen Medical Centre.

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Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity.

TL;DR: The high correlation between interstitial fibrous tissue and EI makes ultrasound a reliable method to determine severity of structural muscle changes, and it is concluded that Fibrous tissue causes increased muscle EI.
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High-resolution genomic profiling of childhood ALL reveals novel recurrent genetic lesions affecting pathways involved in lymphocyte differentiation and cell cycle progression.

TL;DR: The fact that the authors frequently encountered multiple lesions affecting genes involved in cell cycle regulation and B-cell differentiation strongly suggests that both these processes need to be targeted independently and simultaneously to trigger ALL development.
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Methotrexate, Doxorubicin, and Cisplatin (MAP) Plus Maintenance Pegylated Interferon Alfa-2b Versus MAP Alone in Patients With Resectable High-Grade Osteosarcoma and Good Histologic Response to Preoperative MAP: First Results of the EURAMOS-1 Good Response Randomized Controlled Trial

TL;DR: Investigation of maintenance therapy with pegylated interferon alfa-2b in patients whose osteosarcoma showed good histologic response (good response) to induction chemotherapy found that MAP plus IFN-α-2B was not statistically different from MAP alone.
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IKZF1 deletions predict relapse in uniformly treated pediatric precursor B-ALL.

TL;DR: It is revealed that IKZF1 deletions are significantly associated with poor relapse-free and overall survival rates and serves as one of the strongest predictors of relapse at the time of diagnosis with high potential for future risk stratification.