Literature DB >> 6744328

Prognostic indicators including DNA histogram type, receptor content, and staging related to human breast cancer patient survival.

P B Coulson, J T Thornthwaite, T W Woolley, E V Sugarbaker, D Seckinger.   

Abstract

Primary tumors from breast cancer patients were evaluated for the biochemical presence of three steroid cytosolic receptors and by DNA histogram analysis using flow cytometry. These parameters were compared with the histological and staging diagnoses and the patients' survival over a 36-month period. A total of 74 patients with primary breast tumors were evaluated. The breast samples invariably demonstrated a peak population of diploid G0/1 cells which contained 2C amounts of DNA, as determined by mixing experiments using normal human breast tissues or trout erythrocytes as fixed standards. The tumors were classified into five DNA histogram types based on their DNA index distributions established by flow cytometry. These results showed that 21% of the tumors were diploid and indistinguishable from the diploid population of normal breast cells, 8% were hypodiploid, 11% were hypertetraploid, 8% were multiploid, and the remaining 52% were hyperdiploid. The DNA index values varied from 0.78 (hypodiploid) to 2.60 (hypertetraploid). The percentages of S-phase cells were lowest in the diploid and hypertetraploid tumors and highest in the hypodiploid tumors. Among the 24 patients who died during the 36-month follow-up, 92% (22 of 24) were classified in one of the aneuploid groups. Three high-risk groups identified on the basis of survival after 36 months were distinguished: hypodiploid (50% survival); multiploid (43% survival); and hyperdiploid (50% survival). Rates of survival in the diploid and hyperdiploid groups were 87 and 71%, respectively. The hypodiploid group was distinguished by having the lowest mean estrogen cytosolic receptor value [26 +/- 13 (S.D.) fmol/mg], progesterone cytosolic receptor value (13 +/- 15 fmol/ mg), and androgen cytosolic receptor value (less than 1 +/- 1 fmol/mg). In contrast, the diploid tumors had some of the highest receptor values, with mean estrogen cytosolic receptor value equal to 102 +/- 114 fmol/mg, progesterone cytosolic receptor value equal to 74 +/- 110 fmol/mg, and androgen cytosolic receptor value equal to 65 +/- 80 fmol/mg. The lowest survival rates (17% after 36 months) occurred in patients over 67 years of age who had aneuploid tumors, compared to 100% survival in patients over 67 years of age with diploid tumors. Our results demonstrate the value of using flow cytometry and steroid receptor values as supplements to histopathology for the characterization of subgroups of mammary cancer patients. The ability to identify patients with a good prognosis compared to those at high risk of recurrence and death will be valuable in the design of future prospective treatment studies.

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Year:  1984        PMID: 6744328

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  28 in total

1.  DNA ploidy pattern in choroidal melanoma: correlation with survival. A flow cytometry study on archival material.

Authors:  P Toti; G Greco; P Mangiavacchi; A Bruni; M L Palmeri; P Luzi
Journal:  Br J Ophthalmol       Date:  1998-12       Impact factor: 4.638

2.  Genomic DNA analysis of the estrogen receptor gene in breast cancer.

Authors:  F F Parl; D R Cavener; W D Dupont
Journal:  Breast Cancer Res Treat       Date:  1989-10       Impact factor: 4.872

3.  Clinical DNA flow cytometry.

Authors:  B Tribukait
Journal:  Med Oncol Tumor Pharmacother       Date:  1984

4.  DNA ploidy level and S-phase fraction as prognostic factors in breast cancer.

Authors:  T Yokoe; M Izuo; T Ishida; Y Iino; T Kawai
Journal:  Jpn J Surg       Date:  1990-09

5.  Relationship of flow cytometry results to clinical and steroid receptor status in human breast cancer.

Authors:  T E Kute; H B Muss; M Hopkins; R Marshall; D Case; L Kammire
Journal:  Breast Cancer Res Treat       Date:  1985       Impact factor: 4.872

6.  Prognostic value of nuclear DNA content in breast cancer in relation to tumor size, nodal status, and estrogen receptor content.

Authors:  A von Rosen; L E Rutqvist; J Carstensen; A Fallenius; L Skoog; G Auer
Journal:  Breast Cancer Res Treat       Date:  1989-01       Impact factor: 4.872

7.  Flow cytometric analysis of human breast tumors and assessment of in vitro chemosensitivity by clonogenic assays.

Authors:  J Huot; J Aubin; F Goulet; R Goyette
Journal:  Cell Biol Toxicol       Date:  1990-01       Impact factor: 6.691

8.  Nuclear DNA content and prognosis in human breast cancer: a static cytophotometric study.

Authors:  J Harvey; N de Klerk; I Berryman; G Sterrett; M Byrne; J Papadimitriou
Journal:  Breast Cancer Res Treat       Date:  1987       Impact factor: 4.872

9.  Multivariate analyses of DNA index, p62c-myc, and clinicopathological status of patients with ovarian cancer.

Authors:  M Curling; S Stenning; C N Hudson; J V Watson
Journal:  J Clin Pathol       Date:  1998-06       Impact factor: 3.411

10.  Characterization of four in vitro established canine mammary carcinoma and one atypical benign mixed tumor cell lines.

Authors:  E Hellmén
Journal:  In Vitro Cell Dev Biol       Date:  1992-05
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