Literature DB >> 1988366

Regional heterogeneity in breast carcinoma: thymidine labelling index, steroid hormone receptors, DNA ploidy.

J S Meyer1, J L Wittliff.   

Abstract

We examined multiple samples of 65 primary breast carcinomas larger than 1 cm in diameter for thymidine labelling index (TLI), DNA index (DNAI, a measure of cellular DNA content by flow cytometry), and estrogen (ER) and progesterone (PgR) receptors by radioligand-binding. One or more axillary metastases were also assayed in 11 patients. Two to 15 samples were successfully assayed for TLI from 59 tumors, 2-31 samples for DNAI from 61 tumors, and 2-15 samples from 55 tumors for ER and PgR. Criteria for heterogeneity were excess inter-sample variance in comparison with intrasample variance at the p less than 0.05 level for TLI and DNAI, and variation of clinically significant magnitude in assay results for ER and PgR. Sixty-one percent of tumors were heterogeneous for TLI, 26% for DNAI, 24% for ER and 40% for PgR. High TLI disposed toward heterogeneity for TLI itself (p = 0.06), for ER (p = 0.04), and for PgR (p = 0.007). Young age favored heterogeneity for TLI (p = 0.12), ER (p = 0.002), and PgR (p = 0.04). Heterogeneity for DNAI was not related to age and TLI status but was more common in larger tumors (p = 0.08). After consideration of relationships between TLI, age, size, ER and PgR, TLI rather than age appears to be the more important determinant of heterogeneity for receptors. High TLI could lead to heterogeneity through increased numbers of cell divisions that favor emergence of variant stemlines, or by causing local vascular and humoral disparities through rapid growth. Regional heterogeneity can explain erroneous prognostic predictions in approximately 10% to 20% of breast carcinoma patients. We recommend multiple sampling of large breast carcinomas and analysis of axillary metastases for study of tumor markers.

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Year:  1991        PMID: 1988366     DOI: 10.1002/ijc.2910470209

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  6 in total

1.  Characterization of spontaneous metastasis in an aggressive breast carcinoma model using flow cytometry.

Authors:  C M Schmidt; S L Settle; J L Keene; W F Westlin; G A Nickols; D W Griggs
Journal:  Clin Exp Metastasis       Date:  1999       Impact factor: 5.150

2.  Comparison of PCNA/cyclin immunohistochemistry with flow cytometric S-phase fraction in breast cancer.

Authors:  D W Visscher; S Wykes; J Kubus; J D Crissman
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

3.  High DNA content and prognosis in lymph node positive breast cancer. A case control study by the University of Leiden and ECOG. (Eastern Cooperative Oncology Group).

Authors:  K W Gilchrist; R Gray; A M van Driel-Kulker; W E Mesker; J J Ploem-Zaaijer; J S Ploem; S G Taylor; D C Tormey
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

4.  Clonal dominance detected in metastases but not primary tumors of retrovirally marked human breast carcinoma injected into nude mice.

Authors:  K Cornetta; A Moore; M Johannessohn; G W Sledge
Journal:  Clin Exp Metastasis       Date:  1994-01       Impact factor: 5.150

5.  Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma.

Authors:  Juliana Tolles; Yalai Bai; Maria Baquero; Lyndsay N Harris; David L Rimm; Annette M Molinaro
Journal:  Breast Cancer Res       Date:  2011-05-18       Impact factor: 6.466

6.  Breast screening, prognostic factors and survival--results from the Swedish two county study.

Authors:  S W Duffy; L Tabar; G Fagerberg; A Gad; O Gröntoft; M C South; N E Day
Journal:  Br J Cancer       Date:  1991-12       Impact factor: 7.640

  6 in total

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