scholarly journals DNA Ploidy and Chromosomal Imbalances in Invasive Ductal Breast Cancer. A Comparative Study of DNA Image Cytometry and Comparative Genomic Hybridization (CGH)

2000 ◽  
Vol 20 (2-3) ◽  
pp. 69-82 ◽  
Author(s):  
Katrin Friedrich ◽  
Jens Scheithauer ◽  
Volker Dimmer ◽  
Wolfdietrich Meyer ◽  
Franz Theissig ◽  
...  
Keyword(s):  
Genetic Background ◽  
Dna Ploidy ◽  
Image Cytometry ◽  
Comparative Genomic ◽  
Breast Cancers ◽  
Chromosomal Imbalances ◽  
Invasive Ductal Breast Cancer ◽  
Ductal Breast Cancer ◽  
Dna Image Cytometry

Chromosomal imbalances were analyzed in 62 breast cancers with different DNA ploidy by CGH. The results of DNA image cytometry and CGH are consistent with peridiploid and aneuploid cases. The peritetraploid tumors harbored a high number of chromosomal imbalances, as a hint for an unfavorable prognosis. The quantitative analysis of imbalances highlighted the role of different physical constituents of the chromosome, and of chromosomal losses in different DNA ploidy groups. The peritetraploid and aneuploid tumors differed from the peridiploid tumors in losses at 8p and 18q. The peritetraploid cancers exhibited more gains at 8q, the aneuploid tumors more losses at 17p than their peridiploid counterparts. The aneuploid cases differed from the peritetraploid tumors in a higher number of losses at 11q and 14q. Combinations of imbalances provide further insights into the genetic background of DNA ploidy. Hypotheses for the progression from peridiploid to nondiploid breast cancers are given.Figures onhttp://www.esacp.org/acp/2000/20-2_3/friedrich.htm.

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 DNA IMAGE CYTOMETRY IN PROGNOSTICATION OF COLORECTAL CANCER: PRACTICAL CONSIDERATIONS OF THE TECHNIQUE AND INTERPRETATION OF THE HISTOGRAMS

2011 ◽  
Vol 25 (1) ◽  
pp. 1 ◽  
Author(s):  
Abdelbaset Buhmeida ◽  
Yrjo Collan ◽  
Kari Syrjanen ◽  
Seppo Pyrhonen
Keyword(s):  
Colorectal Cancer ◽  
Nuclear Dna ◽  
Image Cytometry ◽  
Computer Assisted ◽  
Dna Values ◽  
Computer Assisted Image ◽  
Analytical Approaches ◽  
Dna Image Cytometry ◽  
Dna Histograms

The role of DNA content as a prognostic factor in colorectal cancer (CRC) is highly controversial. Some of these controversies are due to purely technical reasons, e.g. variable practices in interpreting the DNA histograms, which is problematic particularly in advanced cases. In this report, we give a detailed account on various options how these histograms could be optimally interpreted, with the idea of establishing the potential value of DNA image cytometry in prognosis and in selection of proper treatment. Material consists of nuclei isolated from 50 ƒĘm paraffin sections from 160 patients with stage II, III or IV CRC diagnosed, treated and followed-up in our clinic. The nuclei were stained with the Feulgen stain. Nuclear DNA was measured using computer-assisted image cytometry. We applied 4 different approaches to analyse the DNA histograms: 1) appearance of the histogram (ABCDE approach), 2) range of DNA values, 3) peak evaluation, and 4) events present at high DNA values. Intra-observer reproducibility of these four histogram interpretation was 89%, 95%, 96%, and 100%, respectively. We depicted selected histograms to illustrate the four analytical approaches in cases with different stages of CRC, with variable disease outcome. In our analysis, the range of DNA values was the best prognosticator, i.e., the tumours with the widest histograms had the most ominous prognosis. These data implicate that DNA cytometry based on isolated nuclei is valuable in predicting the prognosis of CRC. Different interpretation techniques differed in their reproducibility, but the method showing the best prognostic value also had high reproducibility in our analysis.

Accumulation of Chromosomal Imbalances From Intraductal Proliferative Lesions to Adjacent In Situ and Invasive Ductal Breast Cancer

2000 ◽  
Vol 9 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Michaela M. Aubele ◽  
Margaret C. Cummings ◽  
Anita E. Mattis ◽  
Horst F. Zitzelsberger ◽  
Axel K. Walch ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Chromosomal Imbalances ◽  
Invasive Ductal Breast Cancer ◽  
Ductal Breast Cancer

CHK2-decreased protein expression and infrequent genetic alterations mainly occur in aggressive types of non-Hodgkin lymphomas

Blood ◽  
2002 ◽  
Vol 100 (13) ◽  
pp. 4602-4608 ◽  
Author(s):  
Frederic Tort ◽  
Silvia Hernàndez ◽  
Silvia Beà ◽  
Antonio Martı́nez ◽  
Manel Esteller ◽  
...  
Keyword(s):  
Protein Expression ◽  
Mrna Expression ◽  
Posttranscriptional Regulation ◽  
Germ Line ◽  
Large Cell ◽  
Genetic Alterations ◽  
Comparative Genomic ◽  
Mrna Levels ◽  
Chromosomal Imbalances

The CHK2 gene codifies for a serine/threonine kinase that plays a central role in DNA damage response pathways. To determine the potential role of CHK2 alterations in the pathogenesis of lymphoid neoplasms we have examined the gene status, protein, and mRNA expression in a series of tumors and nonneoplastic lymphoid samples. A heterozygous Ile157Thr substitution, also present in the germ line of the patient, was detected in a blastoid mantle cell lymphoma (MCL). CHK2 protein and mRNA expression levels were similar in all types of lymphomas and reactive samples, and these levels were independent of the proliferative activity of the tumors. However, 5 tumors, one typical MCL, 2 blastoid MCLs, and 2 large cell lymphomas, showed marked loss of protein expression, including 2 samples with complete absence of CHK2 protein. These 2 lymphomas showed the highest number of chromosomal imbalances detected by comparative genomic hybridization in the whole series of cases. However, no mutations, deletions, or hypermethylation of the promoter region were identified in any of these tumors. mRNA levels were similar in cases with low and normal protein expression, suggesting a posttranscriptional regulation of the protein in these tumors. CHK2 gene and protein alterations were not related to p53 and ATMgene status. In conclusion, CHK2 alterations are uncommon in malignant lymphomas but occur in a subset of aggressive tumors independently of p53 or ATM alterations. The high number of chromosomal imbalances in tumors with complete absence of CHK2 protein suggests a role of this gene in chromosomal instability in human lymphomas.

scholarly journals HER-2/neu overexpression in invasive ductal breast cancer: An association with other prognostic and predictive factors

2007 ◽  
Vol 15 (1-2) ◽  
pp. 15-18 ◽  
Author(s):  
Tatjana Ivkovic-Kapicl ◽  
Slavica Knezevic-Usaj ◽  
Milana Panjkovic ◽  
Dragana Ðilas-Ivanovic ◽  
Mileta Golubovic
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Histological Grade ◽  
Lymph Node Status ◽  
Breast Cancers ◽  
Protein Overexpression ◽  
Large Tumor ◽  
Invasive Ductal Breast Cancer ◽  
Ductal Breast Cancer ◽  
Her 2

Background: HER-2/neu is a proto-oncogene that is amplified/overexpressed in 15 to 30% of invasive breast cancers. The purpose of this study was to determine if any relationship exist between HER-2/neu protein overexpression and estrogen receptor (ER), progesterone receptor (PR), grade, size, and lymph node status in female breast cancer. Methods: A total of 100 cases of invasive ductal breast cancer were included in this study. The hormone receptors and HER-2/neu were studied immunohistochemically (IHC). Using the HER-2/neu DAKO scoring system, scores of 0, 1+ and 2+ were defined as negative and 3+ as positive. Results: HER-2/neu protein overexpression was seen in 20 (20%) of cases. HER-2/neu protein overexpression was present in 4 of 52 T1 lesions (8%), in 11 of 37 T2 lesions (30%), in 3 of 6 T3 lesions (50%), and in 2 of 5 T4 lesions (40%), (p<0.05). Protein overexpression was seen in 7 of 17 grade III tumors (41%), and 13 of 61 grade II tumors (21%). Overexpression was not detected in grade I tumors (p<0.01). Of the 20 Her-2/neu positive cases, ER- and PR-negative status was detected in 60% and 70%, respectively. Conclusion: Statistically significant correlation was found between HER-2/neu protein overexpression and large tumor size, high histological grade, and ER-, PR-negativity. There was no correlation with lymphonodal status.

Genetic background of cholesterol absorption efficacy. The role of Niemann–Pick C1-like 1 receptor and its genetic variation in lipid metabolism

2010 ◽  
Vol 151 (34) ◽  
pp. 1376-1383 ◽  
Author(s):  
Mariann Harangi ◽  
István Balogh ◽  
János Harangi ◽  
György Paragh
Keyword(s):  
Genetic Variation ◽  
Lipid Metabolism ◽  
Genetic Background ◽  
Cholesterol Absorption ◽  
Niemann Pick

A Niemann–Pick C1-like-1 egy szterolfelismerő domént tartalmazó membránfehérje, amelyet nagy számban expresszálnak csúcsi felszínükön a bélhámsejtek. Az utóbbi évek vizsgálatai azt igazolták, hogy ez a fehérje szükséges a szabad koleszterin bejutásához a bélhámsejtekbe a bél lumenéből. Biokémiai vizsgálatok azt igazolták, hogy a Niemann–Pick C1-like-1-hez kötődik az ezetimib, amely egy hatékony koleszterinfelszívódást gátló szer. A bélből történő koleszterinfelszívódás ütemében és az ezetimibkezelés hatékonyságában tapasztalt egyéni eltérések hátterében felmerült néhány Niemann–Pick C1-like-1 génvariáció oki szerepe.

Role of General Adversarial Networks in Mammogram Analysis: A Review

2020 ◽  
Vol 16 (7) ◽  
pp. 863-877
Author(s):  
Annapoorani Gopal ◽  
Lathaselvi Gandhimaruthian ◽  
Javid Ali
Keyword(s):  
Breast Tumor ◽  
Deep Neural Networks ◽  
Training Data ◽  
Learning Technology ◽  
Breast Cancers ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks ◽  
Tumor Extraction

The Deep Neural Networks have gained prominence in the biomedical domain, becoming the most commonly used networks after machine learning technology. Mammograms can be used to detect breast cancers with high precision with the help of Convolutional Neural Network (CNN) which is deep learning technology. An exhaustive labeled data is required to train the CNN from scratch. This can be overcome by deploying Generative Adversarial Network (GAN) which comparatively needs lesser training data during a mammogram screening. In the proposed study, the application of GANs in estimating breast density, high-resolution mammogram synthesis for clustered microcalcification analysis, effective segmentation of breast tumor, analysis of the shape of breast tumor, extraction of features and augmentation of the image during mammogram classification have been extensively reviewed.

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