scholarly journals Isolation of Cardiomyocytes from Fixed Hearts for Immunocytochemistry and Ploidy Analysis

10.3791/60938 ◽  
2020 ◽  
Author(s):  
Doğacan Yücel ◽  
Jacob Solinsky ◽  
Jop H. van Berlo
Keyword(s):  
Ploidy Analysis

Concurrent Endometrial Intraepithelial Carcinoma (EIC) and Serous Ovarian Cancer: Can EIC Be Seen as the Precursor Lesion?

2012 ◽  
Vol 22 (3) ◽  
pp. 457-464 ◽  
Author(s):  
Thijs Roelofsen ◽  
Léon C.L.T. van Kempen ◽  
Jeroen A.W.M. van der Laak ◽  
Maaike A. van Ham ◽  
Johan Bulten ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Estrogen Receptor ◽  
Progesterone Receptor ◽  
Expression Patterns ◽  
Neoplastic Progression ◽  
Precursor Lesion ◽  
Ki 67 ◽  
Cancer Management ◽  
Ploidy Analysis ◽  
Intraepithelial Carcinoma

ObjectiveThe pathogenesis of serous ovarian carcinoma (SOC) is still unknown. Recently, endometrial intraepithelial carcinoma (EIC) was proposed to be the precursor lesion of SOC. This study examines the model of EIC as precursor for SOC.MethodsCases of SOC with a noninvasive or superficially invasive serous lesion, a hyperplastic lesion with/without atypia, or EIC in the endometrium were selected for inclusion in this study. Tissue sections from both ovaries, the fallopian tubes, and the uterus were extensively reviewed by an expert gynecopathologist. For both EIC and SOC, immunostaining for p53, Ki-67, estrogen receptor, and progesterone receptor; TP53 mutation analysis; and in situ ploidy analysis were performed.ResultsNine cases of SOC with concurrent EIC in the endometrium were identified. Immunostaining for p53, Ki-67, estrogen receptor, and progesterone receptor revealed almost identical expression patterns and similar intensities in each pair of EIC and coincident SOC. Identical TP53 mutations were found in SOC and coinciding EIC in 33% of the cases, suggesting a clonal origin. DNA ploidy analysis, as a marker for neoplastic progression, demonstrated an increased number of aneuploid nuclei in SOC compared to their corresponding EIC (P = 0.039). In addition, the mean amount of DNA per nucleus in SOC was higher (ie, more aneuploid) compared to EIC (P = 0.039).ConclusionThis study provides a first indication of EIC as possible precursor lesion for SOC. This finding could have major clinical implications for future ovarian cancer management and underscores EIC as a possible target for early SOC detection and prevention.

QUALITATIVE ENHANCEMENT OF THE DNA PLOIDY ANALYSIS CRITERIA TO ASSESS MALIGNANT TRANSFORMATION RISK

2021 ◽  
Vol 132 (1) ◽  
pp. e45-e46
Author(s):  
M Sperandio ◽  
M Dominguete ◽  
AB Soares ◽  
FV Mariano ◽  
VC Araújo
Keyword(s):  
Malignant Transformation ◽  
Dna Ploidy ◽  
Ploidy Analysis

The consistency of ploidy analysis for granulosa cells at different stages of development

2001 ◽  
Vol 75 (2) ◽  
pp. 448-449
Author(s):  
Ksenija Gersak ◽  
Jaka Lavrencak ◽  
Marija Us-Krasovec
Keyword(s):  
Granulosa Cells ◽  
Stages Of Development ◽  
Ploidy Analysis

scholarly journals Black Spot Resistance, Morphology and Ploidy Analysis of Rosa rugosa cv. Pink Hybrids

2003 ◽  
Vol 15 (2) ◽  
pp. 72-79
Author(s):  
Kriangsuk BOONTIANG ◽  
Satoshi YAMAGUCHI ◽  
Fumika KAKIHARA ◽  
Masahiro KATO
Keyword(s):  
Black Spot ◽  
Rosa Rugosa ◽  
Ploidy Analysis

DNA Ploidy Analysis and Cell Block Immunohistochemistry in the Diagnosis of Malignant Effusions

2019 ◽  
Vol 64 (3) ◽  
pp. 256-264
Author(s):  
Megha Puri ◽  
Rajeev Sen ◽  
Monika Gupta ◽  
Rajnish Kalra ◽  
Shilpi Bhargava ◽  
...  
Keyword(s):  
Final Diagnosis ◽  
Grey Zone ◽  
Cell Block ◽  
Tissue Biopsy ◽  
Conventional Cytology ◽  
Ploidy Analysis ◽  
Atypical Cells ◽  
Initiation Of Therapy ◽  
Time Required ◽  
A Prospective Study

Background: Effusion cytology is a major diagnostic tool in medicine and has both therapeutic and prognostic implications. One of the dilemmas encountered is the differentiation between atypical cells and reactive mesothelial cells. The use of ancillary tools can reduce this grey zone and help to achieve a definitive diagnosis. Objectives: The main objective of this study was to evaluate the role of flow cytometry (FCM) and cell block with immunohistochemistry (IHC), along with the clinicoradiological investigations, to achieve a final diagnosis in effusion cytology to the maximum extent possible. Method: A prospective study was conducted. Effusion fluids, showing adequate amount and cellularity, were processed for conventional cytology, ploidy analysis by FCM, and cell block analysis, followed by IHC wherever required. Conventional cytological analysis was done by 2 independent pathologists, to look for interobserver variation, if any. The final result was achieved on the basis of integration of the results of the aforementioned studies, cytological details, clinicoradiological information, tissue biopsy findings, and follow-up. Result: A total of 90 samples were analyzed. On cytological examination, observer I categorized 60% samples as benign and 18.8% (n = 17) as malignant versus 58% categorized as benign and 23.3% (n = 21) as malignant by observer II. Observer I reported 19 (21.1%) equivocal cases and observer II reported 16 (17.7%). When both pathologists were considered together, the number of equivocal cases increased to 20. Sensitivity and specificity of FCM were 96.67 and 100%, respectively, and 100% for the cell block. On combining all techniques, the equivocal cases were resolved and a total of 33 cases were reported as malignant. However, 3 cases could still not be categorized and were labeled inconclusive. Conclusion: Conventional cytology combined with cell block IHC and FCM has the potential to minimize the requirement of tissue biopsy for confirmation. If the first sample is used judiciously for all the techniques, this may reduce the requirement for a second sample and possibly also the time required for a definite diagnosis and the initiation of therapy.

scholarly journals Stage B Prostate Cancer: Correlation of DNA Ploidy Analysis with Histological and Clinical Parameters

1999 ◽  
Vol 6 (6) ◽  
pp. 587-591 ◽  
Author(s):  
Linda B. Mora ◽  
Lynn C. Moscinski ◽  
José I. Diaz ◽  
Pamela Blair ◽  
Alan B. Cantor ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Dna Ploidy ◽  
Clinical Parameters ◽  
Ploidy Analysis

Original Articles: Prostate Cancer: Deoxyribonucleic Acid Ploidy Analysis as a Predictor of Recurrence Following Radical Prostatectomy for Stage T2 Disease

1995 ◽  
Vol 153 (3S) ◽  
pp. 1015-1019 ◽  
Author(s):  
Marne J. CarMichael ◽  
Robert W. Veltri ◽  
Alan W. Partin ◽  
M. Craig Miller ◽  
Patrick C. Walsh ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Deoxyribonucleic Acid ◽  
Ploidy Analysis
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