Sten Wingren
Linköping University
55 Papers
1K Citations
Sten Wingren is an academic researcher from Linköping University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 24, co-authored 55 publications. Previous affiliations of Sten Wingren include Health Science University & Örebro University.
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Papers
c-erbB-2 expression and benefit from adjuvant chemotherapy and radiotherapy of breast cancer.
O Stål,Siw Sullivan,Sten Wingren,Lambert Skoog,Lars Erik Rutqvist,John Carstensen,Bo Nordenskjöld +6 more
TL;DR: Frozen tissue from primary tumours of 152 premenopausal breast cancer patients, who participated in a trial comparing radiotherapy with adjuvant chemotherapy (cyclophosphamide, methotrexate, 5-fluorouracil, CMF), was analysed for c-erbB-2 protein expression, measured by flow cytometry.
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Association between CYP17 gene polymorphism and risk of breast cancer in young women.
TL;DR: The findings suggest that CYP17 gene polymorphism influences breast carcinogenesis in young women and is associated with a statistically significant increased risk in carriers of at least 1 A2 allele.
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Flow cytometric measurements of DNA index and S-phase on paraffin-embedded early stage endometrial cancer: an important prognostic indicator.
TL;DR: The prognostic significance of DNA and S-phase correlated fairly well with the FIGO grading as determined by a pathologist with special interest in gynecologic oncology and the DNA parameters added prognostic information independent of the FIGo grading.
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Exploring the two-gene ratio in breast cancer--independent roles for HOXB13 and IL17BR in prediction of clinical outcome.
Piiha-Lotta Jerevall,Sara Brommesson,Carina Strand,Sofia K. Gruvberger-Saal,Per-Uno Malmström,Bo Nordenskjöld,Sten Wingren,Peter Söderkvist,Mårten Fernö,Olle Stål +9 more
TL;DR: It is concluded that the ratio or HOXB13 alone can predict the benefit of endocrine therapy, with a high ratio or a high expression rendering patients less likely to respond.
Incidence and prognosis in early onset breast cancer
TL;DR: Lymph node status was the strongest sole prognostic indicator but the use of NPI gave more accurate prognostic information than node status alone, and the survival rate has not improved during the last 35 years.
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