Marc J. van de Vijver spends much of his time researching Breast cancer, Cancer, Cancer research, Pathology and Internal medicine. His Breast cancer research is under the purview of Genetics. The Capecitabine research he does as part of his general Cancer study is frequently linked to other disciplines of science, such as Cytopathology, therefore creating a link between diverse domains of science.
Marc J. van de Vijver has included themes like Progesterone receptor, PI3K/AKT/mTOR pathway, PTEN and Metastasis in his Cancer research study. Disease is closely connected to Oncology in his research, which is encompassed under the umbrella topic of Internal medicine. His MammaPrint research incorporates elements of Surgery, Proportional hazards model and Oncotype DX Breast Cancer Assay.
His primary scientific interests are in Breast cancer, Internal medicine, Oncology, Cancer and Pathology. His work deals with themes such as Cancer research, Carcinoma and Gene expression profiling, which intersect with Breast cancer. His research brings together the fields of Surgery and Internal medicine.
The various areas that he examines in his Oncology study include Case-control study, Lymph node, Proportional hazards model, Primary tumor and Risk factor. Metastasis and MammaPrint are subfields of Cancer in which his conducts study. Marc J. van de Vijver has researched Pathology in several fields, including Trastuzumab and Mammary gland.
Marc J. van de Vijver mainly investigates Internal medicine, Breast cancer, Gastroenterology, Histopathology and Pancreatic ductal adenocarcinoma. Internal medicine and Oncology are frequently intertwined in his study. His Breast cancer research incorporates themes from Sentence, Exon and Somatic cell.
His Gastroenterology research includes elements of Circulating tumor DNA, Immunostaining, Digital polymerase chain reaction, Hazard ratio and Tissue microarray. His Histopathology study integrates concerns from other disciplines, such as Immunohistochemistry, Staining, Predictive testing, PD-L1 and Lung cancer. His Pancreatic ductal adenocarcinoma study combines topics in areas such as KRAS, Mesenchymal stem cell and Confidence interval.
Marc J. van de Vijver focuses on Pancreatic ductal adenocarcinoma, Genome, Computational biology, Gene and Mesenchymal stem cell. His study on Pancreatic ductal adenocarcinoma is covered under Internal medicine. His biological study spans a wide range of topics, including Epigenomics, DNA methylation, Germline mutation and Methylation.
His Computational biology study incorporates themes from Transcript analysis, Cell, Invasive growth, Tumor growth and Concordance. His research on Gene often connects related areas such as Breast cancer. His Breast cancer study frequently involves adjacent topics like Cancer research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Gene expression profiling predicts clinical outcome of breast cancer
Laura J. van 't Veer;Hongyue Dai;Marc J. van de Vijver;Yudong D. He.
Nature (2002)
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver;Yudong D. He;Laura J. van 't Veer;Hongyue Dai.
The New England Journal of Medicine (2002)
American society of clinical oncology/college of american pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer
Antonio C. Wolff;M. Elizabeth H. Hammond;Jared N. Schwartz;Karen L. Hagerty.
Journal of Clinical Oncology (2006)
Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis
Rajnish A. Gupta;Nilay R. Shah;Kevin C. Wang;Jeewon Kim.
Nature (2010)
American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.
Antonio C. Wolff;M. Elizabeth H. Hammond;Jared N. Schwartz;Karen L. Hagerty.
Archives of Pathology & Laboratory Medicine (2007)
WHO classification of tumours of the breast
Sunil R. Lakhani;Ian O. Ellis;Stuart J. Schnitt;Puay Hoon Tan.
(2012)
Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
Christos Sotiriou;Pratyaksha Wirapati;Sherene Loi;Adrian Harris.
Journal of the National Cancer Institute (2006)
International network of cancer genome projects
Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
(2010)
Genes that mediate breast cancer metastasis to the brain
Paula D. Bos;Xiang H.-F. Zhang;Cristina Nadal;Weiping Shu.
Nature (2009)
A functional genetic approach identifies the PI3K pathway as a major determinant of trastuzumab resistance in breast cancer.
Katrien Berns;Hugo M. Horlings;Bryan T. Hennessy;Mandy Madiredjo.
Cancer Cell (2007)
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