B
Bernhard Tribukait
Researcher at Karolinska Institutet
Publications - 180
Citations - 5461
Bernhard Tribukait is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Carcinoma & Dysplasia. The author has an hindex of 44, co-authored 178 publications receiving 5372 citations. Previous affiliations of Bernhard Tribukait include Mansoura University & University of Maryland, Baltimore.
Papers
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Journal ArticleDOI
Prognostic significance of flow-DNA analysis and cell surface isoantigens in carcinoma of bilharzial bladder
Atallah A. Shaaban,Atallah A. Shaaban,Atallah A. Shaaban,N. Javadpour,N. Javadpour,N. Javadpour,Bernhard Tribukait,Bernhard Tribukait,Bernhard Tribukait,Mohamed A. Ghoneim,Mohamed A. Ghoneim,Mohamed A. Ghoneim +11 more
TL;DR: The most significant prognostic indicators were the DNA index and the status of the pelvic lymph nodes at operation and the ABO(H) isoantigen status, which did not correlate with pathologic parameters or the clinical course of these invasive bilharzial bladder tumors.
Journal ArticleDOI
Predicting invasiveness and disease-specific survival in upper tract urothelial carcinoma: identifying relevant clinical tumour characteristics.
Camilla Malm,Alexandra Grahn,Alexandra Grahn,Georg Jaremko,Georg Jaremko,Bernhard Tribukait,Marianne Brehmer +6 more
TL;DR: Grade, DNA ploidy and S-phase fraction were the only tumour characteristics associated with stage in this study, however, DNA Ploidy was not associated with DSS.
Journal ArticleDOI
DNA pattern of human pituitary tumors.
Matti Anniko,Bernhard Tribukait +1 more
TL;DR: Most tumors with an aggressive clinical course were either aneuploid or diploid but with a high percentage of proliferating cells, including pituitary adenomas with two cell lines and all but one hypodiploid tumor.
Journal ArticleDOI
Reliability of DNA cytometric S-phase analysis in surgical biopsies: assessment of systematic and sampling errors and comparison between results obtained by image and flow cytometry.
TL;DR: Tests in histograms obtained from surgical biopsies by flow cytometry showed that the background subtraction is reliable if the found S-phase fraction is higher than the fraction of background events in the histogram range of the cell population.
Patent
Predicting cancer progression
TL;DR: The binding response level of an immunoreactive material (IM) comprising thymidine kinase 1 (TK1) protein is determined in a body fluid sample of a patient and the likelihood of progress of the cancer disease is estimated based directly on this determined IM binding response levels as discussed by the authors.