Literature DB >> 2318993

Prognostic value of nucleolar morphometric variables in cytological breast cancer specimens.

P J van Diest1, J Mouriquand, N W Schipper, J P Baak.   

Abstract

In a retrospective study on cytological specimens from 86 patients with histologically confirmed invasive breast cancer, the prognostic value of nucleolar morphometric variables was studied and compared with nuclear variables. One hundred nuclei and their nucleoli on each slide were measured with a graphic tablet system at a total magnification of 2800 times using a stratified selection method. The number of nucleoli per 100 nuclei was also noted. Analysis of Kaplan-Meier univariate recurrence free survival curves showed significant differences for eight nuclear features, nine nucleolar features, and three combined nuclear and nucleolar variables. The total number of nucleoli per 100 nuclei was the best single prognostic variable. Multivariate survival analysis (Cox regression model) showed that no other features provided additional prognostic information beyond that given by the total number of nucleoli. It is concluded that nucleolar morphometric variables assessed in cytological preparations have prognostic value in breast cancer, and the results of this study suggest that their prognostic value may exceed that of nuclear variables.

Entities:  

Mesh:

Year:  1990        PMID: 2318993      PMCID: PMC502300          DOI: 10.1136/jcp.43.2.157

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  14 in total

1.  The relative prognostic significance of nucleolar morphometry in invasive ductal breast cancer.

Authors:  J P Baak
Journal:  Histopathology       Date:  1985-04       Impact factor: 5.087

2.  Cytomorphometry. A methodologic study of preparation techniques, selection methods and sample sizes.

Authors:  P J van Diest; A W Smeulders; F B Thunnissen; J P Baak
Journal:  Anal Quant Cytol Histol       Date:  1989-08       Impact factor: 0.302

3.  Analysis of measuring system parameters that influence reproducibility of morphometric assessments with a graphic tablet.

Authors:  J C Fleege; J P Baak; A W Smeulders
Journal:  Hum Pathol       Date:  1988-05       Impact factor: 3.466

4.  Adjuvant CMF chemotherapy in operable breast cancer: ten years later.

Authors:  G Bonadonna; A Rossi; P Valagussa
Journal:  Lancet       Date:  1985-04-27       Impact factor: 79.321

5.  Differential nucleolar staining affinity with a modified Papanicolaou staining procedure.

Authors:  J Mouriquand; C Mouriquand; E Petitpas; J Louis; M A Mermet
Journal:  Stain Technol       Date:  1981-07

6.  Morphometric characterisation of 52 B cell non-Hodgkin's lymphomas.

Authors:  P van der Valk; A Mosch; P J Kurver; C J Meijer
Journal:  J Clin Pathol       Date:  1983-03       Impact factor: 3.411

7.  Prognostic scoring using cytomorphometry and lymph node status of patients with breast carcinoma.

Authors:  V Kuenen-Boumeester; W C Hop; D I Blonk; M E Boon
Journal:  Eur J Cancer Clin Oncol       Date:  1984-03

8.  In search for the best qualitative microscopical or morphometrical predictor of oestrogen receptor in breast cancer.

Authors:  J P Baak; J P Persijn
Journal:  Pathol Res Pract       Date:  1984-03       Impact factor: 3.250

9.  Computerized histopathologic assessment of malignant potential. II. A practical method for predicting survival following enucleation for uveal melanoma.

Authors:  J W Gamel; I W McLean
Journal:  Cancer       Date:  1983-09-15       Impact factor: 6.860

10.  Value of cytoprognostic classification in breast carcinomas.

Authors:  J Mouriquand; M Gozlan-Fior; D Villemain; Y Bouchet; J C Sage; M A Mermet; M Bolla
Journal:  J Clin Pathol       Date:  1986-05       Impact factor: 3.411

View more
  9 in total

Review 1.  Preoperative assessment of prognostic factors in breast cancer.

Authors:  H Denley; S E Pinder; C W Elston; A H Lee; I O Ellis
Journal:  J Clin Pathol       Date:  2001-01       Impact factor: 3.411

2.  Image analysis of the AgNOR response in ras-transformed human breast epithelial cells.

Authors:  Maria Luiza S Mello; Benedicto C Vidal; Jose Russo; Wolfgang Planding; Ulrich Schenck
Journal:  Acta Histochem       Date:  2007-12-26       Impact factor: 2.479

3.  Significance of nuclear morphometry in cytological aspirates of breast masses.

Authors:  Shivani Kalhan; Suparna Dubey; Sonia Sharma; Sharmila Dudani; Monika Dixit
Journal:  J Cytol       Date:  2010-01       Impact factor: 1.000

4.  Comparing core needle to surgical biopsies in breast cancer for cell kinetic and ploidy studies.

Authors:  M G Daidone; S Orefice; M Mastore; G Santoro; B Salvadori; R Silvestrini
Journal:  Breast Cancer Res Treat       Date:  1991-09       Impact factor: 4.872

5.  Quantitative analysis of nucleolar margination in diagnostic cytopathology.

Authors:  R Montironi; M Scarpelli; A Braccischi; C Magi Galluzzi; L Diamanti; R Alberti
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1991

6.  Relationship between interphase AgNOR distribution and nucleolar size in cancer cells.

Authors:  M Derenzini; F Farabegoli; D Trerè
Journal:  Histochem J       Date:  1992-12

7.  Comparative evaluation of the modified Scarff-Bloom-Richardson grading system on breast carcinoma aspirates and histopathology.

Authors:  Cherry Bansal; U S Singh; Sanjeev Misra; Kiran Lata Sharma; Vandana Tiwari; A N Srivastava
Journal:  Cytojournal       Date:  2012-01-31       Impact factor: 2.091

8.  Study of nuclear morphometry on cytology specimens of benign and malignant breast lesions: A study of 122 cases.

Authors:  Anamika Kashyap; Manjula Jain; Shailaja Shukla; Manoj Andley
Journal:  J Cytol       Date:  2017 Jan-Mar       Impact factor: 1.000

Review 9.  Fine-needle aspiration and core biopsy in the diagnosis of breast lesions: A comparison and review of the literature.

Authors:  Suvradeep Mitra; Pranab Dey
Journal:  Cytojournal       Date:  2016-08-31       Impact factor: 2.091

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.