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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.

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Consensus review of the clinical utility of DNA cytometry in bladder cancer

TL;DR: A DNA Cytometry Consensus Conference was held to examine clinical applications and technical aspects of DNA ploidy analysis in patients with tran- sitional cell carcinoma of the bladder.
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DNA flow analysis of soft tissue tumors

TL;DR: It appears that benign and low‐grade tumors are diploid and high-grade tumors, in general, are aneuploid, and adequate follow-up might show that high‐grade lesions with a diploids DNA content are associated with a better prognosis than expected from histologic classification.
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DNA aneuploidy in ulcerative colitis: Reproducibility, topographic distribution, and relation to dysplasia

TL;DR: Changes in nuclear DNA content appear to be an earlier phenomenon than dysplasia in the malignant transformation of the colorectal mucosa in ulcerative colitis, and the use of flow cytometry in surveillance programs may be of value for selection of patients at high risk of developing coloreCTal carcinoma.
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An improved Hedley method for preparation of paraffin-embedded tissues for flow cytometric analysis of ploidy and S-phase.

TL;DR: A modification of the Hedley-method for flow cytometric DNA analysis of paraffin-embedded tissues is presented and the improved method was applied to the estimation of frequencies of high-polyploid nuclei found in various diploid, tetraploids, and aneuploid human myosarcomas of the uterus.
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Ploidy and proliferation patterns in colo-rectal adenocarcinomas related to Dukes' classification and to histopathological differentiation. A flow-cytometric DNA study.

TL;DR: Tumours of different clinical stages and histological differentiation may be subdivided according to DNA index, to the existence of single or multiple cell populations and to the proportion of cells in S-phase.