Literature DB >> 2706325

DNA index and cell cycle analysis of primary breast cancer and synchronous axillary lymph node metastases.

G E Feichter1, M Kaufmann, A Müller, D Haag, R Eckhardt, K Goerttler.   

Abstract

The DNA Index (DI) and the percentage of cells in S-phase (S-phase fraction, SPF) were measured by flow cytometry in 80 primary breast carcinomas and in 80 accompanying axillary lymph node metastases. The DI in primary tumors and metastases agreed in 61 cases (76%). Cases with diploid primary tumors revealed more constancy of the DI in comparison to the metastases than the cases with aneuploid primary tumors (91% and 70% respectively). The mean values of the SPF were in close agreement in the primary tumors and in the lymph node metastases (6.1% and 6.0% respectively). Differences between the SPF of the two groups could be detected only by the consideration of case-related data pairs. In 50 cases (62%), the percentage of SPF agreed approximately in primary tumors and in the correspondent metastases. The cases with diploid primary tumors revealed more agreement of the SPF in the primary site and the metastases than did cases with aneuploid primary tumors (78% and 56% respectively). In conclusion, diploid carcinomas and their metastases revealed more constancy of the DI and the percentage of SPF than aneuploid carcinomas. These findings agree well with a better prognosis of diploid mammary carcinomas, as reported in the literature. Comparisons between the DI and the SPF in primary tumors and the corresponding metastases could be a source of valuable information on the biological behaviour and the aggressiveness of mammary carcinomas.

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Year:  1989        PMID: 2706325     DOI: 10.1007/BF01806546

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  19 in total

1.  Flow microfluorometric deoxyribonucleic acid (DNA) analysis supplementing routine histopathologic diagnosis of biopsy specimens.

Authors:  D Haag
Journal:  Lab Invest       Date:  1980-01       Impact factor: 5.662

2.  Comparison of DNA distributions in primary human breast cancers and their metastases.

Authors:  G U Auer; E Arrhenius; P O Granberg; C H Fox
Journal:  Eur J Cancer       Date:  1980-02       Impact factor: 9.162

3.  Correlation of DNA flow cytometric results and other prognostic factors in primary breast cancer.

Authors:  G E Feichter; A Mueller; M Kaufmann; D Haag; I A Born; U Abel; K Klinga; F Kubli; K Goerttler
Journal:  Int J Cancer       Date:  1988-06-15       Impact factor: 7.396

4.  Cell proliferation and its relationship to clinical features and relapse in breast cancers.

Authors:  C Gentili; O Sanfilippo; R Silvestrini
Journal:  Cancer       Date:  1981-08-15       Impact factor: 6.860

5.  Evaluation of flow cytometric data of human tumours. Correction procedures for background and cell aggregations.

Authors:  H P Beck
Journal:  Cell Tissue Kinet       Date:  1980-03

6.  Influence of cellular DNA content on disease-free survival of Stage II breast cancer patients.

Authors:  D W Hedley; C A Rugg; A B Ng; I W Taylor
Journal:  Cancer Res       Date:  1984-11       Impact factor: 12.701

7.  Isopycnic density-gradient centrifugation: a separation parameter which improves flow cytometric measurements on heterogeneous tumors.

Authors:  J Sonka; M Stöhr; M Vogt-Schaden; M Volm
Journal:  Cytometry       Date:  1983-09

8.  Prediction of early course of breast carcinoma by thymidine labeling.

Authors:  J S Meyer; E Friedman; M M McCrate; W C Bauer
Journal:  Cancer       Date:  1983-05-15       Impact factor: 6.860

9.  DNA flow cytometry in primary breast carcinoma.

Authors:  S D Fosså; E Thorud; M C Shoaib; E O Pettersen; J Høie; O S Knudsen
Journal:  Acta Pathol Microbiol Immunol Scand A       Date:  1984-11

10.  DNA content and prognosis in renal cell carcinoma. A comparison between primary tumors and metastases.

Authors:  B Ljungberg; R Stenling; G Roos
Journal:  Cancer       Date:  1986-06-15       Impact factor: 6.860

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  8 in total

1.  Prediction of the axillary lymph node status in mammary cancer on the basis of clinicopathological data and flow cytometry.

Authors:  T Mattfeldt; H A Kestler; H P Sinn
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

2.  Comparative study of the expression of metalloproteases and their inhibitors in different localizations within primary tumours and in metastatic lymph nodes of breast cancer.

Authors:  María Fernanda García; Salomé González-Reyes; Luis Ovidio González; Sara Junquera; Nana Berdize; José Manuel Del Casar; María Medina; Francisco José Vizoso
Journal:  Int J Exp Pathol       Date:  2010-04-20       Impact factor: 1.925

3.  Growth rate of lung metastases and S-phase fraction as determined by flow cytometry from the primary tumour in 25 patients with bone or soft-tissue sarcomas.

Authors:  C Blomqvist; R Huuhtanen; Y Pan; T Wiklund; M Tarkkanen; M Virolainen; B Tribukait
Journal:  Br J Cancer       Date:  1996-06       Impact factor: 7.640

4.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

Authors:  Dongwei Gao; Sha Li
Journal:  Cancer Microenviron       Date:  2013-11-10

5.  Serum sFas and tumor tissue FasL negatively correlated with survival in Egyptian patients suffering from breast ductal carcinoma.

Authors:  Ashgan I El-Sarha; Gehan M Magour; Sameh M Zaki; Mohamed Y El-Sammak
Journal:  Pathol Oncol Res       Date:  2008-11-18       Impact factor: 3.201

6.  Ploidy and S-phase fractions (SPF) of primary breast cancers and their nodal metastases.

Authors:  P S Hupperets; B Schutte; C van Assche; L J Schouten; J Jager; J de Jong; G H Blijham
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

7.  DNA copy number aberrations in breast cancer by array comparative genomic hybridization.

Authors:  Jian Li; Kai Wang; Shengting Li; Vera Timmermans-Wielenga; Fritz Rank; Carsten Wiuf; Xiuqing Zhang; Huanming Yang; Lars Bolund
Journal:  Genomics Proteomics Bioinformatics       Date:  2009-06       Impact factor: 7.691

8.  Mnemonic prediction errors bias hippocampal states.

Authors:  Oded Bein; Katherine Duncan; Lila Davachi
Journal:  Nat Commun       Date:  2020-07-10       Impact factor: 14.919

  8 in total

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