Literature DB >> 16696077

Counting of apoptotic cells: a methodological study in invasive breast cancer.

H A van de Schepop1, J S de Jong, P J van Diest, J P Baak.   

Abstract

Aims-To arrive at a reproducible sampling technique for counting apoptotic cells in tissue sections of invasive breast cancer that can serve as a protocol for further clinical studies.Methods-In 4 mum thick haematoxylin and eosin stained tissue sections of 12 breast cancers, apoptotic cells, recognised by strict morphological criteria, were counted in consecutive fields of vision at x1000 magnification in a marked area in the most poorly differentiated region of tumour. These counts were regarded as the gold standard. Subsequently, in a systematic sampling experiment, the number of fields that had to be counted to derive an acceptable coefficient of variation (CV) was determined. To compare counts at different magnifications, all fields of vision were also counted at x630 and x400. The intra- and inter-observer reproducibility was tested by repeated measurements at these magnifications in 10 systematically selected fields of vision.Results-Apoptosis seemed to be a rare event, affecting, on average, about 1% of tumour cells. Noticeable clustering of apoptotic cells was observed. The systematic sampling experiment showed that at x1000 magnification, the CV was improved by counting up to 20 fields. When comparing x400 and x630 magnifications with the x1000 magnification, the correlation coefficients were 0.88 and 0.87, respectively. However, the lower magnifications yielded lower counts. With regard to reproducibility, the intra-observer correlation coefficient was 0.91 at x630 and 0.76 at x400. The inter-observer correlation coefficient was 0.77 at x630 and 0.68 at x400.Conclusions-Apoptotic cells can be counted readily in haematoxylin and eosin stained tissue sections. However, a systematic sampling protocol must be followed and cells should be counted at a relatively high magnification to obtain acceptable reproducibility. The suggested protocol will permit further correlative and prognostic studies and the monitoring of the effects of treatment.

Entities:  

Year:  1996        PMID: 16696077      PMCID: PMC408061          DOI: 10.1136/mp.49.4.m214

Source DB:  PubMed          Journal:  Clin Mol Pathol        ISSN: 1355-2910


  23 in total

Review 1.  Apoptosis and the regulation of cell numbers in normal and neoplastic tissues: an overview.

Authors:  A H Wyllie
Journal:  Cancer Metastasis Rev       Date:  1992-09       Impact factor: 9.264

2.  Pathologic correlates of survival in 378 lymph node-negative infiltrating ductal breast carcinomas. Mitotic count is the best single predictor.

Authors:  F Clayton
Journal:  Cancer       Date:  1991-09-15       Impact factor: 6.860

3.  Detection of apoptosis of immature CD4+8+ thymocytes by flow cytometry.

Authors:  W Swat; L Ignatowicz; P Kisielow
Journal:  J Immunol Methods       Date:  1991-03-01       Impact factor: 2.303

4.  Computer assisted efficiency testing of different sampling methods for selective nuclear graphic tablet morphometry.

Authors:  J C Fleege; P J van Diest; J P Baak
Journal:  Lab Invest       Date:  1990-08       Impact factor: 5.662

5.  The use of flow cytometry for the investigation of cell death.

Authors:  V N Afanasyev; B A Korol; N P Matylevich; V A Pechatnikov; S R Umansky
Journal:  Cytometry       Date:  1993

6.  A rapid and simple method for measuring thymocyte apoptosis by propidium iodide staining and flow cytometry.

Authors:  I Nicoletti; G Migliorati; M C Pagliacci; F Grignani; C Riccardi
Journal:  J Immunol Methods       Date:  1991-06-03       Impact factor: 2.303

7.  Determination of the length of the histological stages of apoptosis in normal liver and in altered hepatic foci of rats.

Authors:  W Bursch; S Paffe; B Putz; G Barthel; R Schulte-Hermann
Journal:  Carcinogenesis       Date:  1990-05       Impact factor: 4.944

8.  DNA index and S-phase fraction and their combination as prognostic factors in operable ductal breast carcinoma.

Authors:  H Joensuu; S Toikkanen; P J Klemi
Journal:  Cancer       Date:  1990-07-15       Impact factor: 6.860

9.  Prognostic factors in axillary lymph node-negative (pN-) breast carcinomas.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  Eur J Cancer       Date:  1991       Impact factor: 9.162

10.  Indicators of prognosis in node-negative breast cancer.

Authors:  H Sigurdsson; B Baldetorp; A Borg; M Dalberg; M Fernö; D Killander; H Olsson
Journal:  N Engl J Med       Date:  1990-04-12       Impact factor: 91.245

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  18 in total

Review 1.  Proliferation markers in tumours: interpretation and clinical value.

Authors:  P J van Diest; G Brugal; J P Baak
Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

2.  Counting apoptosis-why and how?

Authors:  D J Harrison
Journal:  Clin Mol Pathol       Date:  1996-10

Review 3.  Histopathological evaluation of apoptosis in cancer.

Authors:  Y Soini; P Pääkkö; V P Lehto
Journal:  Am J Pathol       Date:  1998-10       Impact factor: 4.307

4.  p53 mutation in breast cancer. Correlation with cell kinetics and cell of origin.

Authors:  T Megha; F Ferrari; A Benvenuto; C Bellan; A V Lalinga; S Lazzi; S Bartolommei; G Cevenini; L Leoncini; P Tosi
Journal:  J Clin Pathol       Date:  2002-06       Impact factor: 3.411

5.  Apoptosis induced by antigestagen RU486 in rat corpus luteum of pregnancy.

Authors:  C M Telleria; A A Goyeneche; J C Cavicchia; A O Stati; R P Deis
Journal:  Endocrine       Date:  2001-07       Impact factor: 3.633

6.  Apoptosis and expression of Bax, Bcl-x, and Bcl-2 apoptotic regulatory proteins in colorectal carcinomas, and association with p53 genotype/phenotype.

Authors:  P M De Angelis; T Stokke; L Thorstensen; R A Lothe; O P Clausen
Journal:  Mol Pathol       Date:  1998-10

7.  Rectal epithelial apoptosis in familial adenomatous polyposis patients treated with sulindac.

Authors:  J J Keller; G J Offerhaus; M Polak; S N Goodman; M L Zahurak; L M Hylind; S R Hamilton; F M Giardiello
Journal:  Gut       Date:  1999-12       Impact factor: 23.059

8.  Giant cell formation in sarcoidosis: cell fusion or proliferation with non-division?

Authors:  T C M Th van Maarsseveen; W Vos; P J van Diest
Journal:  Clin Exp Immunol       Date:  2008-12-05       Impact factor: 4.330

9.  Correlation of cyclin D1 and Rb gene expression with apoptosis in invasive breast cancer.

Authors:  J S de Jong; P J van Diest; R J Michalides; P van der Valk; C J Meijer; J P Baak
Journal:  Mol Pathol       Date:  1998-02

Review 10.  The role of hypoxia inducible factor 1 (HIF-1) in hypoxia induced apoptosis.

Authors:  A E Greijer; E van der Wall
Journal:  J Clin Pathol       Date:  2004-10       Impact factor: 3.411

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