A
Adrian C. Begg
Researcher at Netherlands Cancer Institute
Publications - 137
Citations - 7691
Adrian C. Begg is an academic researcher from Netherlands Cancer Institute. The author has contributed to research in topics: Radiosensitivity & Cell killing. The author has an hindex of 46, co-authored 137 publications receiving 7324 citations. Previous affiliations of Adrian C. Begg include Radboud University Nijmegen.
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Strategies to improve radiotherapy with targeted drugs
TL;DR: Improved understanding of the molecular response of cells and tissues to ionizing radiation and a new appreciation of the exploitable genetic alterations in tumours have led to the development of treatments combining pharmacological interventions with ionizing Radiation that more specifically target either tumour or normal tissue, leading to improvements in efficacy.
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Accelerated fractionation (AF) compared to conventional fractionation (CF) improves loco-regional control in the radiotherapy of advanced head and neck cancers: results of the EORTC 22851 randomized trial
Jean-Claude Horiot,P. Bontemps,Walter Van den Bogaert,René Le Fur,Danièle van den Weijngaert,Michel Bolla,Jacques Bernier,Antoine Lusinchi,Martin Stuschke,José Lopez-Torrecilla,Adrian C. Begg,Marianne Pierart,Laurence Collette +12 more
TL;DR: This trial shows that accelerated radiotherapy improves loco-regional control in head and neck squamous cell carcinomas and a less toxic scheme should be investigated and documented before using accelerate radiotherapy as a standard regimen of curative radiotherapy for head and head cancers.
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Predicting outcomes in radiation oncology--multifactorial decision support systems
Philippe Lambin,Ruud G.P.M. van Stiphout,Maud H.W. Starmans,Emmanuel Rios-Velazquez,Georgi Nalbantov,Hugo J.W.L. Aerts,Erik Roelofs,Wouter van Elmpt,Paul C. Boutros,Pierluigi Granone,Vincenzo Valentini,Adrian C. Begg,Dirk De Ruysscher,Andre Dekker +13 more
TL;DR: An overview of the factors that are correlated with outcome—including survival, recurrence patterns and toxicity—in radiation oncology is provided and the methodology behind the development of prediction models is discussed, which is a multistage process.
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A Gene Expression Model of Intrinsic Tumor Radiosensitivity: Prediction of Response and Prognosis After Chemoradiation
Steven A. Eschrich,Jimmy Pramana,Hongling Zhang,Haiyan Zhao,David Boulware,Ji-Hyun Lee,Gregory C. Bloom,Caio Rocha-Lima,Scott T. Kelley,Douglas P. Calvin,Timothy J. Yeatman,Adrian C. Begg,Javier F. Torres-Roca +12 more
TL;DR: A robust multigene expression model of intrinsic tumor radiosensitivity in three independent cohorts totaling 118 patients is validated, the first time that a systems biology-based radiosensitivity model is validated in multiple independent clinical datasets.
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Intraperitoneal cisplatin with regional hyperthermia in advanced ovarian cancer: pharmacokinetics and cisplatin–DNA adduct formation in patients and ovarian cancer cell lines
P.J.M. van de Vaart,N. van der Vange,F.A.N Zoetmulder,A.R. van Goethem,O. van Tellingen,W.W. ten Bokkel Huinink,Jos H. Beijnen,Harry Bartelink,Adrian C. Begg +8 more
TL;DR: The combined pharmacokinetic and adduct data in patients support the advantages of the intraperitoneal route for drug administration, and the addition of heat.