The present study updates results on methodology of quantitation of tumor neovascularization and those on the prognostic value of microvessel density (MVD) in breast cancer tissue previously published in the World J. Surg. 21: 49-56, 1997. The follow-up period of observation of the series was extended to 20 years, and new biological indicators (i.e., proliferating cell nuclear antigen (PCNA), c-erbB-2, and p53) were included in the analysis. There were 109 patients with primary breast cancer, from 1971 to 1979, followed up for a median of 14 years (range, 1-20). A representative median longitudinal section of each breast tumor was immunohistochemically stained with factor VIII-related antigen and analyzed. The three methods of identifying MVD were: (1) average microvessel count (AMC)/mm2, (2) central microvessel count (CMC)/mm2, and (3) highest microvessel count (HMC)/mm2. Thirty-one patients (28.4%) died of breast cancer. There was a relationship between MVD and peritumor blood vessel invasion (AMC: p = 0.0114, CMC: p = 0.0319, and HMC: p = 0.0009). However, there was no relationship between MVD and other factors. Univariate analysis showed that node status (p < 0.0001), histological grade (p < 0.0001), clinical tumor size (T) (p = 0.0002), PCNA (p = 0.0033), p53 (p = 0.0043), mitotic grade (p = 0.0092), AMC (p = 0.0214), and peritumor lymphatic vessel invasion (p = 0.0467) were significantly predictive of overall survival. HMC was borderline significant (p = 0.0702), while CMC and c-erbB-2 were not significant. Multivariate analysis showed that T (p = 0.0005), node status (p = 0.0053), and AMC (p = 0.0485) were independent factors, but neither CMC nor HMC was independent. AMC, a significant independent prognostic factor, might be a better method than the others for evaluating angiogenesis, but further and larger studies are warranted.

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This study was undertaken to determine the absolute and relative value of blood vessel invasion (BVI) using both factor VIII-related antigen and elastica van Gieson staining, proliferating cell nuclear antigen (PCNA), p53, c- erb B-2, and conventional prognostic factors in predicting relapse-free survival (RFS) and overall survival (OS) rates associated with long-term survival in Japanese patients with node-negative breast cancer. Two hundred patients with histological node-negative breast cancer were studied. We investigated nine clinicopathological factors, including PCNA, p53, c- erb B-2 using permanent-section immunohistochemistry, clinical tumour size (T), histological grade (HG), mitotic index (MI), tumour necrosis (TN), lymphatic vessel invasion (LVI) and BVI, followed for a median of 10 years (range 1–20). Twenty-one patients (10.5%) had recurrence and 15 patients (7.5%) died of breast cancer. Univariate analysis showed that BVI, PCNA, T, HG, MI, p53, c- erb B-2 and LVI were significantly predictive of 20-year RFS or OS. Multivariate analysis showed that BVI (P = 0.0159, P = 0.0368), proliferating cell nuclear antigen (PCNA) (P = 0.0165, P = 0.0001), and T (P = 0.0190, P = 0.0399) were significantly independent prognostic factors for RFS or OS respectively. BVI, PCNA and T were independent prognostic indicators for RFS or OS in Japanese patients with node-negative breast cancer and are useful in selecting high-risk patients who may be eligible to receive strong adjuvant therapies. © 2000 Cancer Research Campaign

To evaluate the clinicopathologic significance of angiogenesis as a prognostic factor and the objective methods for evaluating angiogenesis, we immunohistochemically stained a representative section of breast tumors with factor VIII-related antigen staining. There were 109 patients with primary breast cancer from 1971 to 1979. The two methods of identifying angiogenesis were the average microvessel count per square millimeter (AMC) and the highest microvessel count per square millimeter (HMC). There was no relation between microvessel count (AMC or HMC) or age, menopausal status, clinical tumor size (T), histologic classification, nuclear grade, node status, histologic grade (HG), mitosis index, or lymphatic invasion (LI). There was a relation between microvessel count and blood vessel invasion (BVI) (HMC:p = 0.0007) and tumor necrosis (TN) (HMC:p = 0.0050). Univariate analysis showed that AMC or HMC was a statistically significant predictor of overall survival in all patients (p = 0.0086 and p = 0.0307, respectively). Multivariate analysis showed that AMC was an independent predictor of node status when we fitted a model with node status, BVI, and either AMC or HMC; but HMC was not independent. However, when we fitted a model including all 11 of the other indicators and AMC or HMC, the node status, HG, and LI were independent predictors, but AMC and HMC were not. Although AMC was a better method than HMC for evaluating angiogenesis, we cannot confirm angiogenesis as a significant independent prognostic factor associated with long-term survival in Japanese breast cancer patients.

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