DNA evaluation in growth hormone producing pituitary adenomas: flow cytometry versus single cell analysis

1989 ◽  
Vol 121 (3) ◽  
pp. 317-321 ◽  
Author(s):  
A. L. Hulting ◽  
U. Askensten ◽  
B. Tribukait ◽  
J. Wersäll ◽  
G. Auer ◽  
...  

Abstract. DNA patterns were analysed in 26 GH-producing pituitary adenomas by flow cytometry as well as by microspectrophotometry. Twelve tumours (46%) were diploid according to both methods, whereas 5 tumours (19%) showed aneuploid DNA patterns. Nine tumours were classified differently by the two methods: flow cytometry resulted in diploidy in 2 and aneuploidy in 7 patients, whereas microspectrophotometry showed diploidy in 5 tumours, tetraploidy in 3 and aneuploidy in 1. Methodological limitations may explain the discrepancy in the results obtained by the two methods. However, both the flow cytometry and the microspectrophotometry method show the presence of aneuploid DNA patterns in GH-producing pituitary adenomas despite their benign growth characteristics and the clinically benign course of the disease. This comparative study with two methods measuring DNA content, shows that depending on the criteria used for diploidy-aneuploidy, the freqency of aneuploidy will vary. In this material of 26 GH-producing adenomas, 46% were aneuploid according to flow cytometry and 23% according to microspectrophotometric. However, no correlation to tumour size or GH levels was found with either method when patients with aneuploid and diploid tumours were compared. Therefore, no clinial significance can so far be drawn from these results.

2021 ◽  
Vol 4 (3) ◽  
pp. 66
Author(s):  
Georgios S. Markopoulos ◽  
Georgios K. Glantzounis ◽  
Anna C. Goussia ◽  
Georgios D. Lianos ◽  
Anastasia Karampa ◽  
...  

Liver resection is the main treatment for primary and metastatic liver tumors in order to achieve long-term survival with good quality of life. The ultimate goal of surgical oncology is to achieve complete tumor removal with adequate clear surgical margins. Flow cytometry is a powerful analytical technique with applications such as phenotypic analysis and quantification of DNA content. Intraoperative flow cytometry (iFC) is the application of flow cytometry for DNA content/ploidy and cell cycle distribution analysis during surgery for tumor cell analysis and margin evaluation. It has been used for cell analysis of intracranial tumors and recently of head and neck carcinomas and breast carcinomas, as well as for tumor margin evaluation. Herein, we present a novel touch imprint iFC protocol for the detailed assessment of tumor margins during excision of malignant hepatic lesions. The protocol aims to offer information on surgical margins after removal of malignant liver tumors based on DNA content of cancer cells and to corroborate the results of iFC with that of histopathological analysis. Based on the established role of iFC in other types of malignancies, our specialized protocol has the potential, through characterization of cells in liver transection surface post hepatectomy, to offer significant information on the type of resection and tumor biology. This information can be used to effectively guide intra- and postoperative patient management.


2010 ◽  
pp. 125-142
Author(s):  
Chang Lu ◽  
Jun Wang ◽  
Ning Bao ◽  
Hsiang-Yu Wang

2021 ◽  
Vol 26 (6) ◽  
pp. 898-909
Author(s):  
Fabrizio Di Caprio ◽  
Simone Posani ◽  
Pietro Altimari ◽  
Alessandro Concas ◽  
Francesca Pagnanelli

2020 ◽  
Vol 92 (1) ◽  
Author(s):  
Rubina Pal ◽  
Jayne Schaubhut ◽  
Darcey Clark ◽  
Lynette Brown ◽  
Jennifer J. Stewart

2018 ◽  
Vol 90 (19) ◽  
pp. 11280-11289 ◽  
Author(s):  
Hector E. Muñoz ◽  
Ming Li ◽  
Carson T. Riche ◽  
Nao Nitta ◽  
Eric Diebold ◽  
...  

RSC Advances ◽  
2021 ◽  
Vol 11 (34) ◽  
pp. 20944-20960
Author(s):  
Ming Li ◽  
Hangrui Liu ◽  
Siyuan Zhuang ◽  
Keisuke Goda

This work reviews recent advances in the integration of emulsion microdroplets and flow cytometry technologies, so-called droplet flow cytometry (DFC), for high-throughput single-cell analysis.


2003 ◽  
Vol 274 (1-2) ◽  
pp. 83-91 ◽  
Author(s):  
Brigitte G Dorner ◽  
Sabine Steinbach ◽  
Martin B Hüser ◽  
Richard A Kroczek ◽  
Alexander Scheffold

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