P
Paul J. van Diest
Researcher at Utrecht University
Publications - 514
Citations - 22750
Paul J. van Diest is an academic researcher from Utrecht University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 70, co-authored 459 publications receiving 18892 citations. Previous affiliations of Paul J. van Diest include University Medical Center Utrecht & VU University Medical Center.
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The theranostic target prostate-specific membrane antigen is expressed in medullary thyroid cancer
Lutske Lodewijk,Stefan M. Willems,Koen M.A. Dreijerink,Bart de Keizer,Paul J. van Diest,Abbey Schepers,Hans Morreau,Han J. Bonenkamp,Ilse van Engen-van Grunsven,Schelto Kruijff,Bettien M. van Hemel,Thera P. Links,Els J. M. Nieveen van Dijkum,Susanne van Eeden,Gerlof D. Valk,Inne H.M. Borel Rinkes,Menno R. Vriens +16 more
TL;DR: Over 90% of MTC appears to express PSMA in the neovasculature, and since it is highly expressed in MTC, PSMA is an interesting novel target for imaging and potentially also as a target for peptide radioligand therapy in M TC.
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Antimitotic agents for the treatment of patients with metastatic castrate-resistant prostate cancer
TL;DR: Recent developments in the application of mitotic inhibitors for mCRPC are summarized from a clinical perspective and four main groups of inhibitors currently being tested in clinical trials are microtubule-inhibitors, polo-like kinase 1 inhibitors, aurora kinase inhibitors and kinesin-spindle protein inhibitors.
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Improved cytodiagnostics and quality of patient care through double reading of selected cases by an expert cytopathologist.
Chantal C H J Kuijpers,Mike Visser,Daisy M. D. S. Sie-Go,Henk de Leeuw,Mathilda J. de Rooij,Paul J. van Diest,Mehdi Jiwa +6 more
TL;DR: The results emphasize that cy topathology is a subspecialization of pathology and requires specialized cytopathologists, and this double reading strategy is worthwhile and contributes to better cytodiagnostics and quality of patient care, especially for suspicious pleural fluid, thyroid and urine specimens.
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Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning.
Xiao-Ping Liu,Xiaoqing Jin,Saman S. Ahmadian,Xu Yang,Sufang Tian,Yuli Cai,Kuldeep Chawla,Antoine M. Snijders,Yankai Xia,Paul J. van Diest,William A. Weiss,Jian-Hua Mao,Zhi-Qiang Li,Hannes Vogel,Hang Chang +14 more
TL;DR: A machine learning pipeline to extract CMBs from whole slide images of tissue histology is developed and validated a framework (CMS-ML) for CMS discovery in LGG associated with specific molecular alterations, immune micro-environment, prognosis, and treatment response.
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Analysis of gene copy number alterations by multiplex ligation-dependent probe amplification in columnar cell lesions of the breast
TL;DR: CCLs carry copy number changes of several known breast cancer-related genes, thereby substantiating their role in breast carcinogenesis, and among them, CCND1 and ESR1 copy number gains and CDH1copy number losses are of particular interest.