Angiogenesis as a prognostic marker in breast carcinoma with conventional adjuvant chemotherapy: a multiparametric and immunohistochemical analysis
It has now been clearly established that quantitative immunohistochemical methods applied to tumour angiogenesis under suitable quality control conditions are a powerful prognostic tool for use in the initial assessment of breast carcinomas. Appropriate parameters for predicting the aggressiveness o...
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Published in | The Journal of pathology Vol. 184; no. 2; pp. 130 - 135 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Chichester, UK
John Wiley & Sons, Ltd
01.02.1998
Wiley |
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Abstract | It has now been clearly established that quantitative immunohistochemical methods applied to tumour angiogenesis under suitable quality control conditions are a powerful prognostic tool for use in the initial assessment of breast carcinomas. Appropriate parameters for predicting the aggressiveness of tumours and their sensitivity to treatment are, however, still required. To determine whether the microvessel count (MVC) may serve to predict the chemotherapeutic response, a retrospective study was carried out on a series of 162 patients with breast carcinoma, who were all treated with the same standard adjuvant chemotherapy. Angiogenesis was assessed by performing CD31 immunostaining and MVC per mm2. Several other factors such as P53, ERBB2, BCL2, and Ki67 were also measured, and their prognostic value was compared with that of the MVC. The MVC was not found to be correlated with any of the other prognostic parameters, but turned out to be of great prognostic value whatever the threshold value chosen, which suggests that it is continuously valid at all levels. The median value of the MVC (43·5 per mm2) divided this series into two significantly different prognostic categories, in terms of both disease‐free survival (P=0·0002) and overall survival (P=0·037). Univariate analysis showed that most of the parameters analysed were of prognostic value regarding the disease‐free survival, namely grade (P=0·029), mitotic index (P=0·049), size (P=0·015), oestrogen receptors (P=0·022), progesterone receptors (P=0·018), P53 (P=0·0045), ERBB2 (P=0·046), and Ki67 (P=0·0008). As regards overall survival, grade and ERBB2 showed a loss of prognostic value. In multivariate analysis on disease‐free survival, the MVC was the most accurate prognostic factor (RR=2·64), followed by Ki67 (RR=2·06) and P53 (RR=1·69). With respect to overall survival, the MVC ranked third among the prognostic parameters analysed. Standard chemotherapy did not reduce the high prognostic value of the MVC performed on tumour angiogenesis. This suggests that the MVC may predict the degree of resistance to chemotherapy. Patients with high levels of angiogenesis, particularly node‐negative patients, might therefore be able to benefit from adjuvant therapy of another kind. © 1998 John Wiley & Sons, Ltd. |
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AbstractList | It has now been clearly established that quantitative immunohistochemical methods applied to tumour angiogenesis under suitable quality control conditions are a powerful prognostic tool for use in the initial assessment of breast carcinomas. Appropriate parameters for predicting the aggressiveness of tumours and their sensitivity to treatment are, however, still required. To determine whether the microvessel count (MVC) may serve to predict the chemotherapeutic response, a retrospective study was carried out on a series of 162 patients with breast carcinoma, who were all treated with the same standard adjuvant chemotherapy. Angiogenesis was assessed by performing CD31 immunostaining and MVC per mm2. Several other factors such as P53, ERBB2, BCL2, and Ki67 were also measured, and their prognostic value was compared with that of the MVC. The MVC was not found to be correlated with any of the other prognostic parameters, but turned out to be of great prognostic value whatever the threshold value chosen, which suggests that it is continuously valid at all levels. The median value of the MVC (43·5 per mm2) divided this series into two significantly different prognostic categories, in terms of both disease‐free survival (P=0·0002) and overall survival (P=0·037). Univariate analysis showed that most of the parameters analysed were of prognostic value regarding the disease‐free survival, namely grade (P=0·029), mitotic index (P=0·049), size (P=0·015), oestrogen receptors (P=0·022), progesterone receptors (P=0·018), P53 (P=0·0045), ERBB2 (P=0·046), and Ki67 (P=0·0008). As regards overall survival, grade and ERBB2 showed a loss of prognostic value. In multivariate analysis on disease‐free survival, the MVC was the most accurate prognostic factor (RR=2·64), followed by Ki67 (RR=2·06) and P53 (RR=1·69). With respect to overall survival, the MVC ranked third among the prognostic parameters analysed. Standard chemotherapy did not reduce the high prognostic value of the MVC performed on tumour angiogenesis. This suggests that the MVC may predict the degree of resistance to chemotherapy. Patients with high levels of angiogenesis, particularly node‐negative patients, might therefore be able to benefit from adjuvant therapy of another kind. © 1998 John Wiley & Sons, Ltd. It has now been clearly established that quantitative immunohistochemical methods applied to tumour angiogenesis under suitable quality control conditions are a powerful prognostic tool for use in the initial assessment of breast carcinomas. Appropriate parameters for predicting the aggressiveness of tumours and their sensitivity to treatment are, however, still required. To determine whether the microvessel count (MVC) may serve to predict the chemotherapeutic response, a retrospective study was carried out on a series of 162 patients with breast carcinoma, who were all treated with the same standard adjuvant chemotherapy. Angiogenesis was assessed by performing CD31 immunostaining and MVC per mm2. Several other factors such as P53, ERBB2, BCL2, and Ki67 were also measured, and their prognostic value was compared with that of the MVC. The MVC was not found to be correlated with any of the other prognostic parameters, but turned out to be of great prognostic value whatever the threshold value chosen, which suggests that it is continuously valid at all levels. The median value of the MVC (43.5 per mm2) divided this series into two significantly different prognostic categories, in terms of both disease-free survival (P = 0.0002) and overall survival (P = 0.037). Univariate analysis showed that most of the parameters analysed were of prognostic value regarding the disease-free survival, namely grade (P = 0.029), mitotic index (P = 0.049), size (P = 0.015), oestrogen receptors (P = 0.022), progesterone receptors (P = 0.018), P53 (P = 0.0045), ERBB2 (P = 0.046), and Ki67 (P = 0.0008). As regards overall survival, grade and ERBB2 showed a loss of prognostic value. In multivariate analysis on disease-free survival, the MVC was the most accurate prognostic factor (RR = 2.64), followed by Ki67 (RR = 2.06) and P53 (RR = 1.69). With respect to overall survival, the MVC ranked third among the prognostic parameters analysed. Standard chemotherapy did not reduce the high prognostic value of the MVC performed on tumour angiogenesis. This suggests that the MVC may predict the degree of resistance to chemotherapy. Patients with high levels of angiogenesis, particularly node-negative patients, might therefore be able to benefit from adjuvant therapy of another kind. |
Author | Geneix, Jeanine A. Puig, Brigitte D. Penault-Llorca, Frederique M. Bardou, Valerie Jeanne H. Viens, Patrice J. Jacquemier, Jocelyne D. Hassoun, Jacques A. Birnbaum, Daniel Sun, Zhen Z. Houvenaeghel, Gilles F. Bertucci, Francois |
Author_xml | – sequence: 1 givenname: Jocelyne D. surname: Jacquemier fullname: Jacquemier, Jocelyne D. email: birnbaum@marseille.inserm.fr organization: Département de Pathologie, Institut Paoli Calmettes, Marseille, France – sequence: 2 givenname: Frederique M. surname: Penault-Llorca fullname: Penault-Llorca, Frederique M. organization: Département de Pathologie, Institut Paoli Calmettes, Marseille, France – sequence: 3 givenname: Francois surname: Bertucci fullname: Bertucci, Francois organization: Département d'Oncologie Médicale, Institut Paoli Calmettes, Marseille, France – sequence: 4 givenname: Zhen Z. surname: Sun fullname: Sun, Zhen Z. organization: Département de Pathologie, Institut Paoli Calmettes, Marseille, France – sequence: 5 givenname: Gilles F. surname: Houvenaeghel fullname: Houvenaeghel, Gilles F. organization: Département de Chirurgie, Institut Paoli Calmettes, Marseille, France – sequence: 6 givenname: Jeanine A. surname: Geneix fullname: Geneix, Jeanine A. organization: Département de Pathologie, Institut Paoli Calmettes, Marseille, France – sequence: 7 givenname: Brigitte D. surname: Puig fullname: Puig, Brigitte D. organization: Département de Statistiques, Institut Paoli Calmettes, Marseille, France – sequence: 8 givenname: Valerie Jeanne H. surname: Bardou fullname: Bardou, Valerie Jeanne H. organization: Département de Statistiques, Institut Paoli Calmettes, Marseille, France – sequence: 9 givenname: Jacques A. surname: Hassoun fullname: Hassoun, Jacques A. organization: Département de Pathologie, Institut Paoli Calmettes, Marseille, France – sequence: 10 givenname: Daniel surname: Birnbaum fullname: Birnbaum, Daniel organization: Laboratoire de Biologie des Tumeurs, Institut Paoli Calmettes, Marseille, France – sequence: 11 givenname: Patrice J. surname: Viens fullname: Viens, Patrice J. organization: Département d'Oncologie Médicale, Institut Paoli Calmettes, Marseille, France |
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Keywords | Antineoplastic agent Human Immunohistochemistry Cell proliferation Carcinoma Prognosis Adjuvant treatment Malignant tumor Multivariate analysis Response Pathology Mammary gland diseases Angiogenesis Chemotherapy Treatment Follow up study C-Onc gene Female Mammary gland Protooncogene Quantitative analysis |
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SubjectTerms | adjuvant chemotherapy angiogenesis Antigens, Neoplasm - analysis Biological and medical sciences Biomarkers, Tumor - analysis breast cancer Breast Neoplasms - blood supply Breast Neoplasms - chemistry Breast Neoplasms - drug therapy CD31 Chemotherapy, Adjuvant Disease-Free Survival Female Gynecology. Andrology. Obstetrics Humans Mammary gland diseases Medical sciences Middle Aged Neovascularization, Pathologic - pathology Platelet Endothelial Cell Adhesion Molecule-1 - analysis Prognosis Retrospective Studies Survival Rate Tumors |
Title | Angiogenesis as a prognostic marker in breast carcinoma with conventional adjuvant chemotherapy: a multiparametric and immunohistochemical analysis |
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