His main research concerns Breast cancer, Pathology, Internal medicine, Oncology and Tissue microarray. Torsten O. Nielsen is involved in the study of Breast cancer that focuses on Tamoxifen in particular. His Pathology study incorporates themes from Multivariate analysis and Gene expression profiling.
His research in Estrogen receptor, Cancer, Progesterone receptor, PAM50 Gene Expression Signature and Odds ratio are components of Internal medicine. His biological study spans a wide range of topics, including Basal, Tumor-infiltrating lymphocytes, MammaPrint, Gynecology and Biomarker. His Tissue microarray research incorporates themes from Stromal cell, Fibromatosis, Breast carcinoma and Synovial sarcoma.
His primary scientific interests are in Breast cancer, Internal medicine, Oncology, Pathology and Cancer. His Breast cancer research includes themes of Biomarker, Cancer research and Basal. Torsten O. Nielsen combines subjects such as Gynecology, Chemotherapy, Cohort and Clinical trial with his study of Oncology.
His study connects Gene expression profiling and Pathology. His Cancer research is multidisciplinary, incorporating elements of Carcinoma and Bioinformatics. The concepts of his Tissue microarray study are interwoven with issues in Survival rate and Breast carcinoma.
His scientific interests lie mostly in Breast cancer, Internal medicine, Oncology, Cancer research and Cancer. The various areas that Torsten O. Nielsen examines in his Breast cancer study include Immunohistochemistry, Tissue microarray, Pathology and Hazard ratio. His Oncology study combines topics from a wide range of disciplines, such as Clinical trial, Chemotherapy, Tumor-infiltrating lymphocytes, Biomarker and Triple-negative breast cancer.
His Cancer research research is multidisciplinary, incorporating perspectives in Immune checkpoint, Immune system, Immunotherapy and Sarcoma, Synovial sarcoma. His work in the fields of Cancer, such as Tamoxifen, intersects with other areas such as MSH2. His Estrogen receptor research is multidisciplinary, incorporating perspectives in Gene expression profiling and Gene, Somatic cell.
The scientist’s investigation covers issues in Breast cancer, Internal medicine, Oncology, Cancer research and Tumor-infiltrating lymphocytes. His Breast cancer research focuses on subjects like Hazard ratio, which are linked to Mastectomy. His Oncology research includes themes of Stromal tumor, Clinical trial and Chemotherapy.
His work deals with themes such as Immune checkpoint, EGR1, Sarcoma, Synovial sarcoma and Phosphorylation, which intersect with Cancer research. His Tumor-infiltrating lymphocytes study also includes fields such as
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.
Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study.
Lisa A. Carey;Charles M. Perou;Chad A. Livasy;Lynn G. Dressler.
JAMA (2006)
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker;Michael Mullins;Maggie C.U. Cheang;Samuel Leung.
Journal of Clinical Oncology (2009)
Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma
Torsten O. Nielsen;Forrest D. Hsu;Kristin Jensen;Maggie Cheang.
Clinical Cancer Research (2004)
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer
Maggie C. U. Cheang;Stephen K Chia;David Voduc;Dongxia Gao.
Journal of the National Cancer Institute (2009)
Metastatic Behavior of Breast Cancer Subtypes
Hagen Kennecke;Rinat Yerushalmi;Ryan Woods;Maggie Chon U. Cheang.
Journal of Clinical Oncology (2010)
Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Group
Mitch Dowsett;Torsten O. Nielsen;Roger A’Hern;John Bartlett.
Journal of the National Cancer Institute (2011)
Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype.
Maggie C.U. Cheang;David Voduc;Chris Bajdik;Samuel Leung.
Clinical Cancer Research (2008)
The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014
R. Salgado;R. Salgado;C. Denkert;S. Demaria;N. Sirtaine.
Annals of Oncology (2015)
Breast Cancer Subtypes and the Risk of Local and Regional Relapse
K. David Voduc;Maggie C.U. Cheang;Scott Tyldesley;Karen Gelmon.
Journal of Clinical Oncology (2010)
Subtyping of breast cancer by immunohistochemistry to investigate a relationship between subtype and short and long term survival: a collaborative analysis of data for 10,159 cases from 12 studies
Fiona M. Blows;Kristy E. Driver;Marjanka K. Schmidt;Annegien Broeks.
PLOS Medicine (2010)
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