Biomedical subjects

E Matze-Cok

Publications and source records attributed to E Matze-Cok.

4 recordsLinked to original sources

PubMed1993

The Multi-Center Morphometric Mammary Carcinoma Project (MMMCP) in The Netherlands: value of morphometrically assessed proliferation and differentiation.

The Multi-Center Morphometric Mammary Carcinoma Project (MMMCP) was set up to investigate the reproducibility and prognostic value of routine assessments of morphometric parameters [mean nuclear area (MNA), mitotic activity index (MAI), and multivariate prognostic index (MPI)] and cytometric features (DNA ploidy and index, % S-phase cells, as well as other cell cycle data) in comparison with classical prognostic parameters and steroid receptors. Thirty-four hospitals in six geographic regions participated. In 1988-1989, 3427 patients entered the study and morphometric assessments were made. An interim (1993) survival analysis indicated that MAI, MNA, and MPI are the strongest predictors of outcome. A Phase III randomized prospective multi-center trial [Premenopausal Morphometric Intervention Study (PREMIS)] using these endpoints was initiated in Europe to evaluate adjuvant [cyclophosphamide, methotrexate and 5-fluorouracil (CMF)] chemotherapy versus observation in morphometrically high risk (i.e., MAI > 10), premenopausal, lymph node negative (LN-) breast cancer patients.

Breast Neoplasms↗

PubMed1992

Intra-patient variation between breast cancer axillary lymph node metastases using quantifiable features.

The intra-patient variations of some clinically relevant quantifiable features, between axillary lymph node metastases were evaluated in 44 breast cancer patients. In all lymph node metastases detected (range 2-33 per patient), the mitotic figures were counted, the volume percentage epithelium was assessed and the mean nuclear area was measured. The intra-patient variation for each quantifiable feature was expressed by the coefficient of variation (CV). Since the measurement techniques used introduce a certain, well known variation themselves because of sampling and measurement errors, the CVs found had to be greater than methodological tolerance limits (established in previous studies) to be interpreted as indicating biological variation. The CVs exceeded the methodological tolerance limits in 86% of the cases for the mitotic count, in 48% of the cases for the volume percentage epithelium, and in 47% of the cases for the mean nuclear area. This indicated that in these cases, the variation found in the quantifiable features could not be explained by sampling or measurement errors and should be regarded as real biological variation. Furthermore, the variation in the quantifiable features studied showed a significant positive correlation with the number of lymph node metastases. Thus, there may be considerable intra-patient variation in quantifiable features between axillary lymph node metastases in breast cancer. This may indicate that these lymph node metastases originate independently from different clones within the primary tumour, that they are independently formed in different stages of tumour development, or that they, as an expression of intrinsic tumour heterogeneity, may develop in different directions from the start.

Axilla↗

PubMed1991

Prognostic value of proliferative activity in lymph node metastases of patients with breast cancer.

Whether the proliferative activity of distant metastases could be predicted by the proliferation in axillary lymph node metastases was investigated in 304 lymph nodes metastases of 52 patients with breast cancer who had not received adjuvant treatment. The standard deviation of the mean mitotic index (MI)--the average number of mitoses per field in 10 high power fields--was of the best prognostic valve in univariate survival analysis. None of the classic (volume % epithelium and stroma) or morphometric features (nuclear area, nuclear axis ratio. shape factors) provided significant results. In Cox regression analysis a multivariate combination of the mean MI, the SD of the mean MI, and the maximum MI emerged, which provided a satisfying means of differentiating patients with a good (68% survival) and a poor (28% survival) prognosis. Proliferation variables derived from axillary lymph node metastases of patients with breast cancer can predict the clinical course of distant metastases.

Adult↗

PubMed1989

Data processing and analysis in the Multicenter Morphometric Mammary Carcinoma Project (MMMCP).

In the Multicenter Morphometric Mammary Carcinoma Project (MMMCP), the prognostic value and reproducibility of routinely assessed quantitative pathological parameters in breast cancer is prospectively studied in approximately 3000 patients. Considering the high number of patients and the fact that many laboratories and hospitals throughout the Netherlands participate in this project, data acquisition, processing and analysis is an important component of the project. The data collection scheme, the structure of the database and the processing of data are described.

Breast Neoplasms↗