Literature DB >> 2050366

The morphometric prognostic index is the strongest prognosticator in premenopausal lymph node-negative and lymph node-positive breast cancer patients.

P J van Diest1, J P Baak.   

Abstract

Earlier studies on breast cancer have shown the strong prognostic value of morphometric parameters (especially the morphometric prognostic index [MPI]) in comparison with clinical and classical pathologic parameters. It remained to be proven whether the prognostic value of the MPI holds for the subgroup of premenopausal patients. We have therefore investigated the value of different prognosticators in a group of 211 premenopausal breast cancer patients with long-term follow-up, 121 cases being lymph node-negative and 90 cases being lymph node-positive. The MPI, a multivariate combination of the mitotic activity index (MAI), lymph node status, and tumor size, was the best combined prognosticator (P less than .0001), exceeding the prognostic value of MAI, lymph node status, and tumor size as individual parameters and as indicators of histologic grade. Of all the features studied, the MPI had the best prognostic value in the lymph node-negative patients, while the MAI and MPI had the best prognostic value in the lymph node-positive patients. Since the MPI has been shown to be reproducible in intra- and interlaboratory studies and can be assessed with standard equipment in routine histologic sections, it is an attractive indicator for selecting high-risk lymph node-negative patients for systemic adjuvant therapy trials.

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Year:  1991        PMID: 2050366     DOI: 10.1016/0046-8177(91)90080-9

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  15 in total

1.  Prognostic value of morphometry in breast cancer.

Authors:  J P Baak; J C van der Linden; P J van Diest
Journal:  J Clin Pathol       Date:  1991-10       Impact factor: 3.411

2.  Cyclin D1 expression in invasive breast cancer. Correlations and prognostic value.

Authors:  P J van Diest; R J Michalides; L Jannink; P van der Valk; H L Peterse; J S de Jong; C J Meijer; J P Baak
Journal:  Am J Pathol       Date:  1997-02       Impact factor: 4.307

3.  Mitotic indexes as prognostic predictors in female breast cancer.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1992       Impact factor: 4.553

4.  Quantitative histopathology in lymph node-negative breast cancer. Prognostic significance of mitotic counts.

Authors:  M Ladekarl; V Jensen
Journal:  Virchows Arch       Date:  1995       Impact factor: 4.064

5.  Tumour size and vascular invasion predict distant metastasis in stage I breast cancer. Grade distinguishes early and late metastasis.

Authors:  P J Westenend; C J C Meurs; R A M Damhuis
Journal:  J Clin Pathol       Date:  2005-02       Impact factor: 3.411

6.  Proliferating-cell nuclear antigen (PC10) immunolabelling and other proliferation indices as prognostic factors in breast cancer.

Authors:  S Aaltomaa; P Lipponen; S Papinaho; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1993       Impact factor: 4.553

7.  At convenience and systematic random sampling: effects on the prognostic value of nuclear area assessments in breast cancer patients.

Authors:  I Jannink; J N Bennen; J Blaauw; P J van Diest; J P Baak
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

Review 8.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

9.  Assessment of Mitotic Activity in Pituitary Adenomas and Carcinomas.

Authors:  Kamal Thapar; Yukio Yamada; Bernd Scheithauer; Kalman Kovacs; Shozo Yamada; Lucia Stefaneanu
Journal:  Endocr Pathol       Date:  1996       Impact factor: 3.943

10.  Expression of BNIP3 in invasive breast cancer: correlations with the hypoxic response and clinicopathological features.

Authors:  Esther A Koop; Theo van Laar; Dick F van Wichen; Roel A de Weger; Elsken van der Wall; Paul J van Diest
Journal:  BMC Cancer       Date:  2009-06-09       Impact factor: 4.430

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