Image Cytometry of DNA-Ploidy

1994 ◽  
pp. 381-393 ◽  
Author(s):  
Doris Mack ◽  
Gerhard W. Hacker
Keyword(s):  
Dna Ploidy ◽  
Image Cytometry

DNA ploidy in primary fallopian-tube carcinoma using image cytometry

1994 ◽  
Vol 58 (3) ◽  
pp. 362-365 ◽  
Author(s):  
Alexander C. Rosen ◽  
Anton H. Graf ◽  
Matthias Klein ◽  
Michael Lahousen ◽  
Norbert Vavra ◽  
...  
Keyword(s):  
Fallopian Tube ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
Fallopian Tube Carcinoma ◽  
Primary Fallopian Tube Carcinoma

scholarly journals Correlation between p53 Status, DNA Ploidy, Proliferation Rate and Nuclear Morphology in Breast Cancer. An Image Cytometric Study

1997 ◽  
Vol 15 (2) ◽  
pp. 85-97 ◽  
Author(s):  
Katrin Friedrich ◽  
Volker Dimmer ◽  
Gunter Haroske ◽  
Wolfdietrich Meyer ◽  
Franz Theissig ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumour Cell ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
Proliferation Rate ◽  
Cell Populations ◽  
Nuclear Morphology ◽  
Breast Cancers ◽  
P53 Expression ◽  
High Proliferation Rate

The study was designed to detect differences in the nuclear morphology of tumours and tumour cell populations with different p53 expression in correlation with DNA ploidy and proliferation rate. The paraffin sections from routinely processed samples of 88 breast cancers were immunostained with the monoclonal p53‐antibody DO‐1. After localization and evaluation with a scoring system the sections were destained and stained by the Feulgen method. The nuclei were relocated automatically and measured by means of the image cytometry workstation. Significant differences between the tumours and tumour cell populations with different p53 expression were found in the euploid tumours as well as in the aneuploid tumours and in the breast cancers with a high proliferation rate. The breast cancers with a low immunoreactive score (IRS 1–4) differ from the negative cancers as well as from the cancers with a higher immunoreactive score (IRS 5–12). Evaluating the nuclear populations of the p53 positive cancers, there were differences in the features of the chromatin amount and distribution in the groups of the euploid breast cancers and in cancer with a high proliferation rate. In contrast, the nuclear populations of the aneuploid cancers did not show any differences in their nuclear morphology.The results showed the different impacts of the p53 expression, DNA ploidy and the proliferation rate on the nuclear morphology in breast cancer.

scholarly journals PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 4291
Author(s):  
Karolina Cyll ◽  
Andreas Kleppe ◽  
Joakim Kalsnes ◽  
Ljiljana Vlatkovic ◽  
Manohar Pradhan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Machine Learning ◽  
Dna Ploidy ◽  
Area Under The Curve ◽  
Image Cytometry ◽  
Primary Analysis ◽  
Pten Protein ◽  
Protein Status ◽  
Automated Method ◽  
Ploidy Status

Machine learning (ML) is expected to improve biomarker assessment. Using convolution neural networks, we developed a fully-automated method for assessing PTEN protein status in immunohistochemically-stained slides using a radical prostatectomy (RP) cohort (n = 253). It was validated according to a predefined protocol in an independent RP cohort (n = 259), alone and by measuring its prognostic value in combination with DNA ploidy status determined by ML-based image cytometry. In the primary analysis, automatically assessed dichotomized PTEN status was associated with time to biochemical recurrence (TTBCR) (hazard ratio (HR) = 3.32, 95% CI 2.05 to 5.38). Patients with both non-diploid tumors and PTEN-low had an HR of 4.63 (95% CI 2.50 to 8.57), while patients with one of these characteristics had an HR of 1.94 (95% CI 1.15 to 3.30), compared to patients with diploid tumors and PTEN-high, in univariable analysis of TTBCR in the validation cohort. Automatic PTEN scoring was strongly predictive of the PTEN status assessed by human experts (area under the curve 0.987 (95% CI 0.968 to 0.994)). This suggests that PTEN status can be accurately assessed using ML, and that the combined marker of automatically assessed PTEN and DNA ploidy status may provide an objective supplement to the existing risk stratification factors in prostate cancer.

Nuclear DNA content, proliferative activity, and p53 expression related to clinical and histopathologic features in endometrial carcinoma

2002 ◽  
Vol 12 (1) ◽  
pp. 110-118 ◽  
Author(s):  
C Lundgren ◽  
G Auer ◽  
B Frankendal ◽  
B Moberger ◽  
B Nilsson ◽  
...  
Keyword(s):  
Endometrial Carcinoma ◽  
Proliferative Activity ◽  
Nuclear Dna ◽  
Dna Ploidy ◽  
Nuclear Dna Content ◽  
Image Cytometry ◽  
P53 Expression ◽  
Degree Of Differentiation ◽  
Histopathologic Features ◽  
Mib 1

Abstract.Lundgren C, Auer G, Frankendal B, Moberger B, Nilsson B, Nordström B. Nuclear DNA content, proliferative activity, and p53 expression related to clinical and histopathologic features in endometrial carcinoma.The purpose of this study was to evaluate the prognostic impact of image cytometry DNA ploidy, MIB-1, and p53 in relation to clinicopathologic variables in 376 consecutive patients with endometrial carcinoma stages I–IV. Following primary treatment 358 patients were considered tumor-free. Relapses and tumor-specific deaths of these patients were noted. Image cytometry DNA ploidy (n = 340) and expression of MIB-1 (n = 318) and p53 (n = 323) were studied. In univariate analysis, stage (P < 0.001), histopathologic subtype (P < 0.001), degree of differentiation (P < 0.001), HRT (P = 0.034), DNA ploidy (P < 0.001), and p53 (P < 0.001) were significant predictors of relapse. Patient age showed that the estimated mean risk of relapse increases with nearly 64% per decade in life (P 0.003), and the MIB-1 expression with 21% per 10-unit increment (P 0.004). In multivariate analysis, degree of differentiation, MIB-1, and p53 lost their prognostic capability. However, after stage and histopathologic subtype, image cytometry DNA ploidy was the strongest predictor of outcome and was of value in predicting the risk for relapse. The combination of DNA ploidy, MIB-1, and p53 expression was an even stronger predictor of relapse-free survival than the individual prognostic factors.

scholarly journals DNA ploidy in soft tissue sarcoma: Comparison of flow and image cytometry with clinical follow-up in 93 patients

Cytometry ◽  
2002 ◽  
Vol 50 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Karsten E. Dreinhöfer ◽  
Bo Baldetorp ◽  
Måns Åkerman ◽  
Mårten Fernö ◽  
Anders Rydholm ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Dna Ploidy ◽  
Image Cytometry

scholarly journals Adaptation of image cytometry methodology for DNA ploidy analysis of cervical epithelium samples: A pilot study

2014 ◽  
Vol 53 (2) ◽  
pp. 227-231 ◽  
Author(s):  
Christiane Eliza Motta Duarte ◽  
Carlos Roberto Carvalho ◽  
Agnaldo Lopes da Silva-Filho
Keyword(s):  
Pilot Study ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
Cervical Epithelium ◽  
Ploidy Analysis

scholarly journals DNA ploidy measurement in oral leukoplakia: Different results between flow and image cytometry

Oral Oncology ◽  
2012 ◽  
Vol 48 (7) ◽  
pp. 636-640 ◽  
Author(s):  
E.R.E.A. Brouns ◽  
E. Bloemena ◽  
J.A.M. Belien ◽  
M.A.M. Broeckaert ◽  
I.H.A. Aartman ◽  
...  
Keyword(s):  
Dna Ploidy ◽  
Image Cytometry ◽  
Oral Leukoplakia

scholarly journals DNA Aneuploidy in Malignant Salivary Gland Neoplasms is Independent of USP44 Protein Expression

2017 ◽  
Vol 28 (2) ◽  
pp. 148-151 ◽  
Author(s):  
Vanessa Fátima Bernardes ◽  
Edward W Odell ◽  
Ricardo Santiago Gomez ◽  
Carolina Cavalieri Gomes
Keyword(s):  
Salivary Gland ◽  
Protein Expression ◽  
Tumor Size ◽  
Chromosomal Instability ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
Mitotic Checkpoint ◽  
Salivary Gland Neoplasms ◽  
Ploidy Status

Chromosomal instability, leading to aneuploidy, is one of the hallmarks of human cancers. USP44 (ubiquitin specific peptidase 44) is an important molecule that plays a regulatory role in the mitotic checkpoint and USP44 loss causes chromosome mis-segregation, aneuploidy and tumorigenesis in vivo. In this study, it was investigated the immunoexpression of USP44 in 28 malignant salivary gland neoplasms and associated the results with DNA ploidy status assessed by image cytometry. USP44 protein was widely expressed in most of the tumor samples and no clear association could be established between its expression and DNA ploidy status or tumor size. On this basis, it may be concluded that the aneuploidy of the salivary gland cancers included in this study was not driven by loss of USP44 protein expression.

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