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Intra-tumoural microvessel density in human solid tumours

J Hasan, R Byers, G C Jayson

British Journal of Cancer · 2002 · Review

doi:10.1038/sj.bjc.6600315

Abstract

Over the last decade assessment of angiogenesis has emerged as a potentially useful biological prognostic and predictive factor in human solid tumours. With the development of highly specific endothelial markers that can be assessed in histological archival specimens, several quantitative studies have been performed in various solid tumours. The majority of published studies have shown a positive correlation between intra-tumoural microvessel density, a measure of tumour angiogenesis, and prognosis in solid tumours. A minority of studies have not demonstrated an association and this may be attributed to significant differences in the methodologies employed for sample selection, immunostaining techniques, vessel counting and statistical analysis, although a number of biological differences may account for the discrepancy. In this review we evaluate the quantification of angiogenesis by immunohistochemistry, the relationship between tumour vascularity and metastasis, and the clinicopathological studies correlating intra-tumoral microvessel density with prognosis and response to anti-cancer therapy. In view of the extensive nature of this retrospective body of data, comparative studies are needed to identify the optimum technique and endothelial antigens (activated or pan-endothelial antigens) but subsequently prospective studies that allocate treatment on the basis of microvessel density are required.

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From PubMed Central, U.S. National Library of Medicine, as current on Oct 19, 2026. Paragraph numbers are ours, so an answer can point at one.

Angiogenesis is the process in which new blood vessels arise from existing ones. This is present physiologically in the adult during wound healing, the development of the ovarian follicle and corpus luteum and in the proliferating endometrium. Pathological angiogenesis is also a component of much diverse pathology ranging from diabetes and atherosclerosis to cancer, a disease that cannot progress without the formation of new blood vessels.

The measurement of angiogenesis is complicated by the fact that it is a dynamic process yet most studies to date have focused on the product of angiogenesis, the microvessel density, which was analysed at a particular point in time. Accepting this caveat there are extensive data in which the microvessel density correlates with metastasis and survival. Here, we discuss the relationship between angiogenesis and the intra-tumoural microvessel density (IMD), review the different techniques that have been used to measure IMD and then discuss the reasons why this relationship does not always hold.

IMD AS A MEASURE OF TUMOUR ANGIOGENESIS

As angiogenesis is a dynamic process, comparisons with snapshot views of the tumour, as are seen in biopsy analyses, are not straightforward. On the other hand the only approaches that are available in the clinic for the serial measurement of tumour angiogenesis involve molecular imaging strategies, such as contrast-enhanced magnetic resonance imaging (MRI) and positron emission tomography (PET), that do not resolve data at the microscopic level. Thus it is important to assess the relationship between IMD and angiogenesis.

Several studies have reported correlations between IMD and angiogenic growth factor expression, tumour growth and the occurrence of distant metastasis suggesting that IMD, as well as quantifying vascular density, reflects important information on the degree and function of tumour vasculature.

IMD and angiogenic cytokine expression

Several clinicopathological studies have shown a direct association between angiogenic cytokine expression and IMD. Vascular endothelial growth factor (VEGF) expression has been shown to correlate with microvessel density in a number of solid tumours including prostate, colon, lung and breast cancer. compared IMD with VEGF and PdEGF (platelet-derived endothelial cell growth factor) expression in 152 invasive breast cancer specimens. VEGF and PdEGF expression were significantly correlated with the increase in IMD, and in another study intra-tumoural VEGF concentrations in 135 breast cancer tissue homogenates were significantly higher in richly vascularised tumours as opposed to the ones that were poorly vascularised.. VEGF concentrations measured by ELISA in the tumour tissue from 19 brain tumour patients were significantly correlated with vascular density. Almost all tumour cells in the peripheral areas of brain tumours that contained a high amount of VEGF protein were associated with increased IMD on immunohistochemical staining.

Significant correlation between VEGF expression and IMD has also been reported for gastric, endometrial and cervical cancer.

The clinical importance of VEGF is emphasised by the fact that VEGF inhibition has been shown to significantly inhibit angiogenesis and tumour growth in in vivo models. Consequently anti-VEGF agents are being developed as therapeutic strategies to inhibit tumour angiogenesis and progression. Clearly these cytokines act through specific signalling receptors and recent data have shown a relationship between cytokine concentration, signalling receptor and IMD. In a series of 121 endometrial carcinomas, VEGF expression was associated with increased angiogenesis and poor prognosis, but more importantly its expression was linked with an increased density of vessels expressing the KDR (kinase domain region) receptor at the invading tumour front. VEGF expression in the absence of VEGF/KDR-activated vasculature was a less important predictor of poorer survival, suggesting that the prognostic importance of VEGF is significantly improved when the combined VEGF/KDR status is assessed.

A positive correlation between IMD and other angiogenic cytokines like basic fibroblast growth factor (bFGF) has also been reported. However, several studies failed to find any correlation between bFGF and IMD and have questioned its relevance as an independent prognostic factor. It has been hypothesised that bFGF has a role only when it synergises with other growth factors like VEGF. Thymidine phosphorylase (TP or PDECGF), another important angiogenic factor, is an intracellular enzyme involved in pyrimidine metabolism, neural function and neovascularisation. One of its metabolites 2-deoxy-D-ribose is a potent mediator of angiogenesis. The prognostic value of TP has been recognised in breast cancer and a correlation between TP expression and IMD has been reported for other solid tumours.

IMD and uPA/PAI-1 levels

Background extracellular matrix proteolysis is one of the most important steps in angiogenesis. The urokinase-type plasminogen activator system (uPAS) consisting of urokinase plasminogen activator (uPA), an extracellular proteolytic enzyme produced by tumour cells, its receptor uPA-R and their corresponding inhibitors plasminogen activator inhibitors 1 and 2 (PAI-1 and PAI-2) are thought to play a major role in this process. uPA at the cell surface initiates a proteinase cascade leading to the breakdown of the extracellular matrix and thereby promoting cellular migration. The levels of uPA and its inhibitor PAI-1 are known prognostic factors in breast cancer. In a series of patients with breast cancer, uPA and PAI-1 contents were measured by ELISA in tissue extracts, in peripheral and central tumour tissue. uPA and PAI-1 levels were higher in the peripheral breast tumour regions, particularly in node-positive patients and there was a linear correlation between CD31+ IMD and uPA/PAI-1 levels.

Although these studies have demonstrated a correlation between particular angiogenic factors and IMD, there have been very few attempts to examine multiple angiogenic and anti-angiogenic factors in conjunction with IMD and clearly more work is needed in this area.

IMD and intra-tumoural microvascular characteristics

It is of particular interest to know the degree to which the radiological assessment of tumour vasculature correlates with IMD. A number of techniques exist to assess this, including contrast enhanced magnetic resonance imaging (MRI) colour Doppler ultrasound and positron emission tomography. There is some evidence to show that radiological imaging can detect differences in IMD. In one study slow and fast growing subtypes of a R3230 mammary carcinoma were implanted into mice and were subsequently analysed for both IMD by FactorVIII-related-antigen (FVIII-RA) and plasma volume. MR imaging-derived tumour plasma volume and permeability increased exponentially with increased capillary density. A more densely structured vasculature was found in the fast growing tumours and the increased vascular density correlated with estimates of plasma volume as assessed by MRI. However, in human studies these correlations have not been so strong, for instance, in a recent study of cervical carcinoma there was no clear relationship between MRI and IMD. On the other hand a study in glioma, where VEGF has been more strongly implicated in the tumour's pathogenesis, did identify a relationship between MRI findings and IMD.

QUANTIFICATION OF IMD BY IMMUNOHISTOCHEMISTRY

Despite the fact that the majority of studies have identified IMD as an independent prognostic factor in solid tumours, several studies have questioned the finding. These discrepancies may be due to particular tumour biological factors that obscure the relationship but other issues such as staining methodology have also been implicated. In part the variation in the relationship between IMD and prognosis has arisen from a lack of standardised immunohistochemical techniques because of the wide range of antibodies, antigen retrieval methods, designation of high and low vessel count groups (cut-off points), patient groups, therapies and data (vessel quantification) interpretation. The correct identification of the vascular hot spot within the tumour and observer experience are two of the most important factors. In one study that compared the effects of different methodologies on estimates of tumour vascularity, archival specimens of breast, lung and oral carcinoma, oral dysplasia and normal breast tissue were investigated. Pretreatment of sections (enzymatic digestion, heating), endothelial markers (vWF-von Willebrand factor and CD31 antibodies), method of quantification (highest microvascular density, average microvascular density and microvascular volume) and inter-observer variations were all found to alter the estimated vascularity and interestingly the treatment of sections before staining was the variable that most significantly altered the calculated vascularity of tumours.

In order to overcome some of these problems an international consensus on the methodology and criteria for evaluation of IMD has been put forward. The report proposes a standard method for IMD assessment and sets quality control standards aimed at improving reproducibility and inter-centre comparability with regard to the selection of representative tissue samples, tissue processing and immunostaining, selection of areas for microvessel enumeration and the technique of vessel counting within these areas. A training programme for the inexperienced pathologist is also recommended given the subjective methodology of vascular hot spot selection and identification of individual microvessels. Few comparative studies have evaluated the different methods of microvessel quantification – manual counting. Chalkley count and CIAS. Further prospective studies are needed to define the method of choice. A standard technique for the evaluation of IMD would facilitate comparison between different centres and enable the organisation of confirmatory multicentre trials on the prognostic and predictive value of IMD in human solid tumours.

Endothelial cell specific antibodies

Intra-tumoural microvessels can be identified by immunostaining of endothelial cells. Two categories of human endothelial cell specific antibodies are currently available: the pan-endothelial cell markers and antibodies that bind selectively to activated or proliferating endothelium (Table 1). The pan-endothelial markers are characterised by equal intensity of staining for small and large vessels and reactivity in both frozen and paraffin embedded samples. The latter feature is of clinical importance in that it facilitates their use on archival specimens. Generally, CD31 is utilised as the pan-endothelial marker of choice for paraffin sections. In a recent review, when studies on breast cancer with multivariate analysis that used antibodies to CD31 or CD34 were examined, most revealed a positive association with relapse free survival (RFS) (13 out of 14) and all for overall survival (OS) (12 out of 12). With studies using FVIII-RA, only eight out of 13 were positive for RFS and seven out of 10 for OS.

The problem of antigen specificity is highlighted by the detection of CD34 antigen on lymphatic vessels, perivascular stromal cells as well as other stromal elements while this is compounded by the absence of FVIII-RA on part of the capillary endothelium in tumour tissue. The disadvantages associated with staining for CD31 antigen include co-staining of inflammatory cells, but these can be distinguished from endothelial cells on the basis of morphological differences, and frequent antigen loss due to fixatives that contain acetic acid. Microwave antigen retrieval effectively abolishes this problem but in prospective studies a careful selection of the most suitable tissue fixation procedure should still be performed.

The ability to distinguish quantitatively between tumour neovascularisation and pre-existing vessels may be important in the assessment of tumour angiogenesis and could provide more accurate prognostic information. This is now possible using markers for activated endothelium. These markers are suitable for proliferating endothelium giving none or poor staining of lymphatics and normal quiescent blood vessels. They mainly react with fresh or frozen tissues, their activity in paraffin-embedded specimens is fixation dependent. In a study of 106 patients with breast carcinoma, the IMD was assessed using a pan-endothelial marker CD34 and a monoclonal antibody to CD105 that preferentially reacts with endothelial cells in angiogenic tissues. IMD values for CD105 expression showed a statistically significant correlation with RFS (P=0.0362) and OS (P=0.0029) in contrast to blood vessel counts using CD34 that did not correlate with RFS or OS. This discrepancy in findings between the two markers could be the result of variability in the reactivity of different endothelial cell antibodies. While anti-CD105 antibody specifically reacts with endothelial cells of blood vessels in tissues undergoing angiogenesis, anti-CD34 antibody generally binds to endothelial cells in large blood vessels, although its expression can be diminished or restricted in some tumour microvessels. The superiority of the anti-CD105 antibody over anti-CD34 was recently confirmed in another comparative study in 236 patients with NSCLC. CD105 determined IMD was a significant poor prognostic factor in multivariate analysis (P=0.029) while CD34 determined IMD was not.

The activity of another marker for activated endothelium; LM609, a monoclonal antibody against integrin αvβ3 has been investigated in a cohort of primary breast cancers and in normal breast tissue as control. LM609 preferentially immunostained proliferating blood vessels of small calibre within neoplastic tissue with weak expression of the integrin observed on vessels of normal tissue. In a series of 197 breast cancers, the expression of integrin αvβ3 at the vascular hot spot was the single most significant prognostic indicator for RFS in both node-negative and node-positive patients.

The vascular hot spot

Vascular hot spots are regions of high vascular density within the tumour and were first defined in breast cancer. It was hypothesised that vascular hot spots arise from angiogenic tumour cell clones and that these cells would predominantly enter the circulation and give rise to vascularised metastases. These areas are identified by an inspection of the tumour at low magnification. However, this is clearly time consuming when the diameter of some tumours often exceeds 10 cm. It was suggested that the number of vascular hot spots analysed should be at least 10 to reduce the chances of missing the most vascular areas.

From the practical standpoint, assessment of IMD in selected areas compared to an overall vascular count is less time consuming. Vascular hot spots are encountered predominantly at the peripheral tumour margin and can be selected by scanning a tumour section at low magnification (10–100×). A low background staining and highly specific and intense labelling of endothelial cells is required. Once the vascular hot spot is defined, a higher magnification is selected in order to be able to count individual microvessels. Magnifications of the order of 200–400×and field sizes ranging from 0.12 to 1.00 mm2 have been used. A higher magnification improves the detail of the image and allows the identification of more single endothelial cell sprouts. An area larger or smaller than the vascular hot spot will result in loss of information.

According to an early study, any highlighted endothelial cells or cell cluster clearly separate from adjacent microvessels, tumour cells and other connective tissue elements should be regarded as a distinct countable microvessel. This definition has several implications. Neither a lumen nor the presence of red blood cells is necessary to identify a microvessel. In addition a cut-off calibre size is not mentioned so that single cell sprouts as well as larger vessels are thus included in the counts. Even if distinct clusters give the impression of being part of one large vessel transfected by the plane of the tissue section more than once, they are counted as separate microvessels. Strict application of these objective criteria seems to result in lower inter-observer variability when analysing pre-defined hot spots.

Quantification of stained vessels can be achieved by measuring highest microvascular density (h-MVD), the average microvessel density (a-MVD) or the microvascular volume (MVV). The area of highest microvascular density (the vascular hot spot) is located by scanning the section at 100×magnification. In practice, localisation of the highest density area normally involves counting up to three different areas. Three different fields are counted in each of these areas at 200×magnification, and the highest value taken as the h-MVD, expressed as vessels per mm2. The a-MVD is determined using the same grid and magnification (200×) as for h-MVD and calculating the mean of the vascular counts obtained in at least 10–15 random fields for each tissue section. Results for a-MVD are expressed as mean±standard deviation (vessels per mm2). The MVV is estimated by point counting using an eyepiece graticule, which contains 100 points. Vessels that coincide with the points are counted in 15 fields selected randomly across each section (a total of 1500 points) and yields results expressed as percentage volume.

The Chalkley method resembles that used to determine the MVV. Tumour sections are scanned at low magnification to identify the areas that appear to have the maximum number of discrete microvessels. At higher magnifications, an eyepiece graticule containing 25 randomly positioned dots is rotated so that the maximum numbers of points are on or within the vessels of the vascular hot spot. Instead of counting the individual microvessels, the overlying dots are counted. In a series of patients with breast carcinoma, a significant correlation was found between MVD assessment by the Weidner method and Chalkley point counting (r=0.7, P=0.00005). A significant reduction in OS was observed between patients stratified by Chalkley count in both univariate (P=0.02) and multivariate analysis (P=0.05). In another study in patients with node-positive breast carcinoma, Chalkley score was found to be the most significant independent predictor of outcome by multivariate analysis. In a series of 330 breast cancers, Chalkley count was compared to manual microvessel counting and provided independent prognostic value in multivariate analysis (P<0.0001 for RFS, P=0.001 for OS). Manual microvessel counting had no prognostic impact. In another study of 104 malignant mesotheliomas, IMD as assessed by Chalkley counting was assessed with respect to other known prognostic factors in malignant mesothelioma. Chalkley microvessel count was shown to be an independent prognostic factor in multivariate analysis (P=0.006). Since no decisions have to be made on whether adjacent stained structures are stained microvessels or not, Chalkley point counting should be a more objective approach.

The first problem that arises with the quantification techniques is the selection of a representative tumour block. In colorectal adenocarcinoma, the IMD in in-situ growth regions is approximately half of that seen in invasive regions suggesting that multiple blocks should be assessed. found a higher average coefficient of variation (24%) if more than one tissue block was analysed compared to a lower coefficient of variation (15%) when only counts within sections of one block were examined, indicating that a comprehensive inspection of available tumour material is needed to identify the relevant hot spots.

The training and experience of the investigator influences the identification of the vascular hot spot. compared the calculated IMD in 91 node negative invasive breast carcinomas by light microscopy when measured by two pathologists of different experience. Both at univariate and multivariate analysis, only the counts of the experienced pathologist were significantly associated with relapse-free survival. Similar results were noted in another series of node negative breast cancer patients. Once the vascular hot spot is identified, vessel counts after agreement on the description of a single countable vessel appears to be less dependent on subjective interpretation than the process of hot spot selection.

Grading of IMD

In addition to the vascular hot spot technique another method is semiquantitative grading. Several studies have reported a positive correlation between quantitative and semiquantitative MVD scores. subjectively graded angiogenesis in vascular hot spots and counted individual microvessels in the same fields. MVD values obtained by both methods were a statistically significant predictor of RFS and OS. The obvious advantage of IMD grading is its time efficiency. However, translation of a continuum of MVD values into a categorical type of data will however be associated with some loss of information. Given the highly subjective nature of IMD grading, comparable results will only be obtained by different observers after a period of training with standardised methods.

Computerised Image Analysis systems (CIAS)

This is an automated counting technique that improves reproducibility and reduces inter-observer variability and has been proposed as a more objective method of assessing IMD. In a series of 91 node-negative invasive ductal carcinomas of the breast, both the number of CD31 positive microvessels measured by an experienced observer and the microvessel area (MVA) determined by CIAS were independently associated with RFS. also reported comparable results in another series of patients with breast carcinoma.

The main advantage of CIAS is the additional morphometric parameters that can be detected i.e. the number of vessels with a certain dimension range, the vessel luminal area, vessel luminal perimeter and the number of immunostained areas per microscopic field. IMD can be measured more objectively without the intervention of an investigator. The apparent disadvantage of CIAS is the time consuming nature of the method and its higher cost. These systems are not fully automated yet and require a high degree of operator interaction. The vascular hot spot is still identified manually before automated counting as the heterogeneity of microvessel morphology and immunostaining intensity particularly hampers a fully automated analysis of tumour IMD.

IMD AND METASTASIS

As tumour metastasis is the major cause of mortality in cancer patients, a classification of the metastatic potential of a tumour could be of great clinical significance. A quantitative relationship between IMD, the number of intravascular tumour cells and the occurrence of pulmonary metastasis was shown in an animal tumour model more than 20 years ago but clinical confirmation has only been revealed in the last few years. Before surgery for patients with primary breast cancer, a central venous catheter was fixed in the ipsilateral subclavian vein. Blood samples were taken before, during and 1 day after surgery and tumour cells were identified on the basis of cytokeratin positivity. Microvessels were highlighted with anti-CD34 antibody in tissue sections of the invasive tumour component and the IMD was measured in the vascular hot spots. The majority of patients with a high vascular density had cells detected during operation in contrast to a minority of patients with a low IMD, suggesting that the frequency of tumour cell shedding was related to IMD (r=0.56, P=0.024).

Evidence that the intensity of angiogenesis in a human tumour could predict the probability of metastasis was initially reported in cutaneous melanoma. There was a clear distinction between a stage without neovascularisation, which correlated with a low rate of metastasis, and a stage in which increasing neovascularisation correlated with an increased rate of local and distant metastasis (P=0.025)., in one of the earliest studies, reported a significant correlation between the degrees of IMD at the vascular hot spot with the probability of metastasis in a series of 49 patients with invasive breast cancer. Using light microscopy, blood vessels were highlighted by staining their endothelial cells immunocytochemically for factor VIII. The microvessels were counted (per 200×field), and their density graded (1–4+) in the most active areas of neovascularisation. Both microvessel counts and density grades were found to correlate with metastatic disease. For each 10-microvessel increase in the vessel count per 200×field, there was a 1.17-fold increase in the risk of distant metastasis (P=0.029). In another series of patients with node-negative breast cancer, assessment of IMD by immunohistochemistry with anti-CD31 antibody, IMD correlated significantly with recurrence in viscera, bone and soft tissue deposits. Several studies have now shown that highly vascularised tumours have a significantly higher likelihood to present with loco-regional lymph node metastasis than those that are poorly vascularised. Likewise a similar correlation between IMD in the primary tumour and the development of distant metastasis was found (Table 2).

The expression levels of genes that regulate metastasis and angiogenesis can predict metastatic potential in individual patients. This was demonstrated in a study of 46 renal cancers. The expression levels of basic fibroblast growth factor, vascular endothelial growth factor, interleukin-8 (IL-8), matrix metalloproteinases (MMP) 2 and 9 and E-cadherin were examined at the periphery of the tumour by a colorimetric in situ mRNA. The expression levels of bFGF, VEGF, IL-8, MMP 2 and 9 were significantly higher in primary renal tumours from patients with synchronous or metachronous metastases than those who were disease free at a median of 48 months of follow up. Multivariate analysis of RFS showed that the ratio of MMP-9 to E-Cadherin (P=0.012) and the expression level of bFGF expression (P=0.045) were independent predictors for the development of metastases.

The expectation that determination of an angiogenic index by IMD can identify all patients with occult metastatic disease or those with probable distant metastasis is probably unrealistic. Human tumours are heterogeneous and consist of subpopulations of cells with different biological properties. Secondly, the process of development of metastasis consists of a series of interlinked independent steps. To produce clinically relevant metastasis, tumour cells must complete all the steps in this process. Tumour cells that can induce intense angiogenesis but cannot survive in the circulation or proliferate in distant organs will not produce metastasis. Like the other steps in the metastatic cascade, angiogenesis is necessary but not sufficient for the pathogenesis of metastasis.

IMD AS A PREDICTIVE MARKER OF RESPONSE TO ANTI-CANCER THERAPY

Although IMD has been shown to correlate with metastasis and survival one might anticipate that the increased vascularity may improve tumour oxygenation and drug delivery thereby improving the response to therapy. However, the converse has generally been reported (Table 3). In a study of patients with squamous cell carcinoma of the head and neck treated with concurrent chemoradiation, the degree of IMD was significantly predictive of poor response to platinum-based chemotherapy in terms of complete response (P=0.045). Similar findings have been observed in patients with epithelial ovarian cancers treated with platinum-based combination chemotherapy.

If patients present with highly angiogenic primary tumours and these are the patients most likely to develop distant recurrences, then it might follow that this group of patients are most likely to benefit from adjuvant therapy. However in contrast to this hypothesis, the above studies demonstrate that angiogenic tumours have a more aggressive phenotype and do not benefit as anticipated. Perhaps tumours of low angiogenic index are more likely to benefit from adjuvant therapy even though they are also the subgroup of patients least likely to develop a recurrence. Perhaps patients with highly angiogenic tumours should therefore be selected for trials that include the use of anti-angiogenic strategies. The general observation from the above data is thus that the greater the degree of vascularisation in a solid tumour, the lower the likelihood of responsiveness to conventional anti-cancer therapy although this conclusion needs further evaluation in well-designed prospective studies.

IMD AND PROGNOSIS

If IMD is associated with metastasis then it is logical to predict that IMD will also be associated with survival and this has been evaluated in most solid tumours including breast, ovary, bladder, head and neck and prostate cancers amongst others (Tables 4 and 5). Two pivotal independent studies by and found that IMD is a significant and independent prognostic factor in human invasive breast cancer. In a prospective blinded study of 165 patients with breast cancer, Weidner and Folkman showed that there was a highly significant association between IMD and RFS and OS in both node-negative and node-positive subsets (P=0.01). All patients with breast carcinomas containing more than 100 microvessels per 200×field experienced tumour recurrence within 33 months of diagnosis, compared with less than 5% of patients with breast cancer having 33 or fewer microvessels per 200×field. Moreover IMD was the only statistically significant predictor of OS in node-negative patients (P<0.001). In the study by microvessels were counted in 103 patients with primary breast cancer using the JC70 antibody to CD31. Tumours showed significantly higher vascularisation than normal breast tissue and the number of blood vessels/mm2 was significantly associated with node metastasis (P<0.00001). Vascularity was correlated with the size of the primary tumour and with poor differentiation. Within each subgroup of size or differentiation, tumours without nodal involvement had much lower IMD. Even with the short follow up in this study, high vascular counts correlated with early deaths.

Over a hundred retrospective studies have been published on the prognostic significance of IMD in solid tumours. In breast cancer alone more than 40 retrospective studies have been published with more than 7000 patients evaluated. Since these patients have different pathological and clinical characteristics, a proper metaanalysis is not possible. Nevertheless more than 75% of studies reported positive results on the association of IMD with clinical outcome and more than 85% of the 27 studies, which included multivariate analysis, found that IMD was an independent prognostic variable and these findings have been observed in both the adjuvant and metastatic disease settings. The bulk of accumulating data indicates that IMD in the area of most intense neovascularisation in invasive breast cancer is an independent, significant and accurate prognostic marker in predicting poorer survival. Such an indicator might be potentially useful in tailoring adjuvant therapy for high-risk breast cancer patients although there is no data at present linking aggressive treatment to better outcome in such patients. Clearly prospective evaluation of this area is required.

The prognostic value of IMD has been studied in other solid tumours apart from breast cancer. These include cancers of the lung, genito-urinary tract, GI tract, head and neck, gynaecological malignancies and malignant melanomas. In the largest single series, IMD was assessed prospectively in 407 patients with stages I–III non-small cell lung cancer (NSCLC). Anti-CD34 antibody was used to measure angiogenesis in tumour samples. In multivariate analysis IMD, tumour microvessel count (P<0.00001), tumour size and regional lymph node status retained independent prognostic value with respect to overall survival. Among these variables, tumour microvessel count considered as a continuous variable was the most important.

Poor associations between IMD and survival

There are several reports that do not demonstrate a relationship between IMD and survival. While these studies may reflect a genuine biological finding there are a number of technical issues that may confound studies. For instance a discrepancy may be related to potential methodological pitfalls in case selection, small study populations, heterogeneous therapy, inadequate follow-up and statistical analysis. Issues related to the application of immunohistochemical techniques including choice of endothelial marker, the vascular variable quantified and the area of tumour section assessed and inter-observer variability could also contribute. On the other hand, the tendency for positive results to be published may have led to an exaggerated assessment of the importance of IMD.

It is possible that some tumours are less angiogenesis-dependent than others. For example, in intestinal-type gastric cancer, vessel counts correlate with stage of disease and metastasis formation. In contrast vessel counts in diffuse-type gastric cancer do not correlate with metastasis and in general vessel counts in diffuse-type gastric cancer are lower those seen in intestinal-type gastric cancer.

Tumours may also be able to grow without neovascularisation if a suitable vascular bed is available. The pattern of vascularisation was studied in 500 cases of non-small cell lung cancer. Of these 80 (16%) were characterised by an absence of stroma and lack of new vessel formation. In such cancers, the degree of neovascularisation as assessed by IMD may not be of prognostic value. On the other hand, in colon cancer, the presence of ulceration and adjacent inflammation may itself contribute to increased local vascularity independent of the tumour and may confound results. Discordant results from studies may also reflect the fact that angiogenesis is but one step in the multistep process of metastasis. If a primary tumour has a high angiogenic index, but does not express other factors necessary for metastasis formation (i.e. adhesion/cohesion molecules, motility factors, growth factor receptors, etc.), then despite the high degree of angiogenesis, metastasis will not occur.

A further mechanism by which the discrepancy between IMD and survival may occur is vasculogenic mimicry, which has been described in melanoma. In aggressive primary and metastatic melanomas, the tumour cells generate microcirculatory channels composed of extracellular matrix that are lined by tumour cells. The channels generated through this process by tumour cells may not stain with endothelial cell markers, as endothelial cells are not present.

Despite the fact that the overall trend in most studies is that the assessment of IMD retains a prognostic value in the majority of solid tumours, no definitive conclusions can be drawn at present on the real clinical usefulness of this approach. Before adopting IMD as a prognostic marker in routine clinical application, appropriate prospective trials are needed to validate the results observed in retrospective studies. Furthermore the method of assessment of IMD is inconsistent and needs to be standardised and made more objective.

CONCLUSION

There is sufficient evidence to justify the determination of IMD as a measure of the angiogenic activity of human solid tumours. This method may be improved by employing more selective and specific markers for activated/proliferating endothelium, improving staining techniques, using more objective and reproducible methods for microvessel counting and standardisation of the criteria for evaluation of IMD and of the identification of the neovascular hot spot within each tumour.

As alternative methods like serum and tissue sampling of angiogenic peptides, measurement of endothelial cell proliferation, cell adhesion molecules and proteolytic enzymes as well as dynamic contrast enhanced MRI become available, these may enhance the accuracy of the measurement of angiogenic activity in solid tumours.

A strong correlation has been confirmed between the IMD of a primary tumour and its potential to develop locoregional or distant metastasis. Assessment of tumour vascularity is now an established prognostic indicator in early stage breast cancer, NSCLC and prostatic carcinoma. In these tumour types, the majority of retrospective studies found a significant correlation between vascularisation of the primary tumour and clinical outcome of patients. In other tumour types the role of IMD remains investigational and requires well-designed prospective studies. Preliminary studies suggest that the determination of angiogenesis may serve as a marker to predict response to some forms of conventional anti-cancer therapy. An inverse relationship between the degree of vascularisation and responsiveness to anti-cancer therapy has been shown in the adjuvant setting as well as for advanced tumours.

Certain issues remain unresolved. Besides the technical standardisation issues, it is unclear whether antibodies directed against activated endothelium will predict metastasis and survival better than other pan-endothelial methods. This issue needs to be addressed in a large study before we can establish prospective trials that are ultimately needed to validate IMD as a guide to therapy.

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    Not in our library10.1007/bf00666041

  9. 9.

    BochnerBHCoteRJWeidnerNGroshenSChenSCSkinnerDGNicholsPW1995 Angiogenesis in bladder cancer: relationship between microvessel density and tumour prognosisJ Natl Cancer Inst8716031612

    Not in our library10.1093/jnci/87.21.1603

  10. 10.
  11. 11.

    BraschRCLiKCHusbandJEKeoganMTNeemanMPadhaniARShamesDTuretschekK2000 In vivo monitoring of tumour angiogenesis with MR imagingAcad Radiol7812823

    Not in our library10.1016/s1076-6332(00)80630-3

  12. 12.

    BraschRTuretschekK2000 MRI characterization of tumours and grading angiogenesis using macromolecular contrast media: status reportEur J Radiol34148155

    Not in our library10.1016/s0720-048x(00)00195-9

  13. 13.

    BrownNSBicknessR1998 Thymidine phosphorylase, 2-deoxy-D-ribose and angiogenesisBiochem J33418(Review)

    Not in our library10.1042/bj3340001

  14. 14.

    BurianMQuintCNeuchristC1999 Angiogenic factors in laryngeal carcinomas: do they have prognostic relevance?Acta Otolaryngol119289292

    Not in our library10.1080/00016489950181846

  15. 15.

    ChengWFLeeCNChuJSChenCAChenTMShauWYHsiehFJ1999 Vascularity index as a novel parameter for the in vivo assessment of angiogenesis in patients with cervical carcinomaCancer85651657

    Not in our library10.1002/(sici)1097-0142(19990201)85:3<651::aid-cncr15>3.0.co;2-9

  16. 16.

    CooperRAWilksDPLogueJPDavidsonSEHunterRDRobertsSAWestCM1998 High tumour angiogenesis is associated with poorer survival in carcinoma of the cervix treated with radiotherapyClin Cancer Res427952800

    Not in our library

  17. 17.

    CooperRAWestCMWilksDPLogueJPDavidsonSERobertsSAHunterRD1999 Tumour vascularity is a significant prognostic factor for cervix carcinoma treated with radiotherapy: independence from tumour radiosensitivityBr J Cancer81354358

    Not in our library10.1038/sj.bjc.6690700

  18. 18.

    CooperRACarringtonBMLoncasterJAToddSMDavidsonSELogueJPLuthraADJonesAPStratfordIHunterRDWestCM2000 Tumour oxygenation levels correlate with dynamic contrast-enhanced magnetic resonance imaging parameters in carcinoma of the cervixRadiother Oncol575359

    Not in our library10.1016/s0167-8140(00)00259-0

  19. 19.

    CostelloPMcCannACarneyDNDervanPA1995 Prognostic significance of microvessel density in lymph node negative breast cancerHum Pathol26181184

    Not in our library10.1016/0046-8177(95)90190-6

  20. 20.

    de JongJSvan DiestPJBaakJP1995 Heterogeneity and reproducibility of microvessel counts in breast cancerLab Invest73992996

    Not in our library

  21. 21.

    DelormeSKnoppMV1998 Non-invasive vascular imaging: assessing tumour vascularityEur Radiol8517527

    Not in our library10.1007/s003300050428

  22. 22.

    EdwardsJGCoxGAndiAJonesJLWalkerRAWallerDAO'ByrneKJ2001 Angiogenesis is an independent prognostic factor in malignant mesotheliomaBr J Cancer85863868

    Not in our library10.1054/bjoc.2001.1997

  23. 23.

    EllisLMFidlerIJ1996 Angiogenesis and metastasisEur J Cancer32A24512460

    Not in our library10.1016/s0959-8049(96)00389-9

  24. 24.

    EllisLMWalkerRAGaspariniG1998 Is determination of angiogenic activity in human tumours clinically useful?Eur J Cancer34609618

    Not in our library10.1016/s0959-8049(97)10040-5

  25. 25.

    ElpekGOGelenTAksoyNHErdoganADertsizLDenircanAKelesN2001 The prognostic relevance of angiogenesis and mast cells in squamous cell carcinoma of the oesophagusJ Clin Pathol54940944

    Not in our library10.1136/jcp.54.12.940

  26. 26.

    FanelliMLocopoNGattusoDGaspariniG1999 Assessment of tumour vascularisation: immunohistochemical and non-invasive methodsInt J Biol Markers14218231

    Not in our library10.1177/172460089901400405

  27. 27.

    FolbergRHendrixMJManiotisAJ2000 Vasculogenic mimicry and tumour angiogenesis. ReviewAm J Pathol156361381

    Not in our library10.1016/s0002-9440(10)64739-6

  28. 28.

    FolkmanJ1972 Anti angiogenesis: new concept for therapy of solid tumoursAnn Surg175409416

    Not in our library10.1097/00000658-197203000-00014

  29. 29.

    FolkmanJ1996 What is the role of thymidine phosphorylase in tumour angiogenesis?J Natl Cancer Inst73275280

    Not in our library

  30. 30.

    FontaniniGBiginiDVignatiSBasaloFMussiALucchiMChineSAngelettiCAHarrisALBevilacquaG1995 Microvessel count predicts metastatic disease and survival in non-small cell lung cancerJ Pathol1775763

    Not in our library10.1002/path.1711770110

  31. 31.

    FontaniniGLucchiMVignatiSMussiACiardielloFDe LaurentiisMDe PlacidoSBasoloFAngelettiCABevilacquaP1997 Angiogenesis as a prognostic indicator of survival in non-small cell lung carcinoma: a prospective studyJ Natl Cancer Inst89881886

    Not in our library10.1093/jnci/89.12.881

  32. 32.

    FoxSBLeekRDSmithKHollyerJGreenallMHarrisAL1994 Tumour angiogenesis in node-negative breast carcinomas-relationship with epidermal growth factor receptor, oestrogen receptor and survivalBreast Cancer Res Treat29109116

    Not in our library10.1007/bf00666186

  33. 33.

    FoxSBLeekRDWeekesMPWhitehouseRMGatterKCHarrisAL1995 Quantitation and prognostic value of breast cancer angiogenesis: Comparison of microvessel density, Chalkley count and computer image analysisJ Pathol177275283

    Not in our library10.1002/path.1711770310

  34. 34.

    FoxSBWestwoodMMoghaddamAComleyMTurleyHWhitehouseRMBicknellRGatterKCHarrisAL1996 The angiogenic factor platelet-derived endothelial cell growth factor/thymidine phosphorylase is upregulated in breast cancer epithelium and endotheliumBr J Cancer73275280

    Not in our library10.1038/bjc.1996.49

  35. 35.

    FoxSBEngelsKComleyMWhitehouseRMTurleyHGatterKCHarrisAL1997a Relationship of elevated tumour thymidine phosphorylase in node-positive breast carcinomas to the effects of adjuvant CMFAnn Oncol8271275

    Not in our library10.1023/a:1008280110558

  36. 36.

    FoxSBLeekRDBlissJMansiJLGustersonBGatterKCHarrisAL1997b Association of tumour angiogenesis with bone marrow micrometastases in breast cancer patientsJ Natl Cancer Inst8910441049

    Not in our library10.1093/jnci/89.14.1044

  37. 37.

    FoxSBGaspariniGHarrisAL2001 Angiogenesis: pathological, prognostic, and growth factor pathways and their link to trial design and anticancer drugsLancet Oncol5278289

    Not in our library10.1016/s1470-2045(00)00323-5

  38. 38.

    FridmanVHumbletCBonjeanKBoniverJ2000 Assessment of tumour angiogenesis in invasive breast carcinomas: absence of correlation with prognosis and pathological factorsVirchows Arch437611617

    Not in our library10.1007/s004280000292

  39. 39.

    FujiokaSYoshidaKYanagisawaSKawakamiMAokiTYamazakiY2001 Angiogenesis in pancreatic carcinomaCancer9217881797

    Not in our library10.1002/1097-0142(20011001)92:7<1788::aid-cncr1695>3.0.co;2-z

  40. 40.

    FukudaSShirahamaTImazonoYTsushimaTOhmoriYKayajimaTTakeSNishiyamaKYonezawaSAkibaSAkiyamaSOhiY1999 Expression of vascular endothelial growth factor in patients with testicular germ cell tumours as an indicator of metastatic diseaseCancer8513231330

    Not in our library

  41. 41.

    GaspariniGBevilacquaPPozzaFMeliSWeidnerN1993 P-glycoprotein expression predicts response to chemotherapy in previously untreated advanced breast cancerBreast22732

    Not in our library

  42. 42.

    GaspariniGWeidnerNBevilacquaPMalutaSDalla PalmaPCaffoOBarbareschiMBoracchiPMarubiniEPozzaF1994 Tumour microvessel density, p53 expression, tumour size and peritumoral lymphatic vessel invasion are relevant prognostic markers in node-negative breast carcinomaJ Clin Oncol12454466

    Not in our library10.1200/jco.1994.12.3.454

  43. 43.

    GaspariniGHarrisAL1995 Clinical importance of determination of tumour angiogenesis in breast carcinoma: much more than a new prognostic toolJ Clin Oncol13765782

    Not in our library10.1200/jco.1995.13.3.765

  44. 44.

    GaspariniGBarbareschiMBoracchiPVerderioPCaffoOMeliSPalmaPDMarubiniEBevilacquaM1995a Tumour angiogenesis predicts clinical outcome of node-positive breast cancer patients treated either with adjuvant hormone therapy or chemotherapyCancer J Sci Am1131141

    Not in our library

  45. 45.

    GaspariniGBevilacquaPBonoldiETestolinAGalassiAVerderioPBoracchiPGugliemiRBPezzellaF1995b Predictive and prognostic markers in a series of patients with head and neck squamous cell invasive carcinoma treated with concurrent chemoradiation therapyClin Cancer Res113751383

    Not in our library

  46. 46.

    GaspariniGFoxSBVerderioPBonoldiEBevilacquaPBoracchiPDanteSMarubiniEHarrisAL1996 Determination of angiogenesis adds information to oestrogen receptor status in predicting the efficacy of adjuvant tamoxifen in node-positive breast cancer patientsClin Cancer Res211911198

    Not in our library

  47. 47.

    GaspariniGBrooksPCBiganzoliEVermeulenPBBonoldiEDirixLYRanieriGMiceliRChereshDA1998 Vascular integrin αvβ3: a new prognostic indicator in breast cancerClin Cancer Res426252634

    Not in our library

  48. 48.

    GaspariniGHarrisAL1999 Prognostic significance of tumour vascularityInAntiangiogenic agents in cancer therapyTeicher BA (ed)pp317339Totowa, NJ: Humana Press

    Not in our library

  49. 49.

    GaspariniG2001 Clinical significance of determination of surrogate markers of angiogenesis in breast carcinomaCrit Rev Oncol Haematol3797114

    Not in our library10.1016/s1040-8428(00)00105-0

  50. 50.

    GiatromanolakiASivridisEBrekkenRThorpePEAnastasiadisPGatterKCHarrisALKoukourakisMI2001 The angiogenic ‘vascular endothelial growth factor/flk-1/KDR receptor’ pathway in patients with endometrial carcinoma: Prognostic and therapeutic implicationsCancer9225692577

    Not in our library10.1002/1097-0142(20011115)92:10<2569::aid-cncr1609>3.0.co;2-3

  51. 51.

    GouldingHmAbdul RahidNFRobertsonJFBellJAElstonCWBlameyRWEllisIO1995 Assessment of angiogenesis in breast carcinomas: an important factor in prognosis?Hum Pathol2611961200

    Not in our library10.1016/0046-8177(95)90193-0

  52. 52.

    GuidiAJAbu-JawdehGBerseBJackmanRWTognazziKDvorakHFBrownLF1995 Vascular permeability factor expression and angiogenesis in cervical neoplasiaJ Natl Cancer Inst8712371245

    Not in our library10.1093/jnci/87.16.1237

  53. 53.

    GuidiAJBerryDABroadwaterGPerloffMNortonLBarcosMPHayesDF2000 Association of angiogenesis in lymph node metastsases with outcome of breast cancerJ Natl Cancer Inst92486492

    Not in our library10.1093/jnci/92.6.486

  54. 54.

    HallNRFishDEHuntNGoldinRDGuillouPJMonsonRT1992 Is the relationship between angiogenesis and metastasis in breast cancer real?Surg Oncol1223229

    Not in our library10.1016/0960-7404(92)90068-v

  55. 55.

    HalvorsenOJHaukaasSHoisaeterPAAkslenLA2000 Independent prognostic importance of microvessel density in clinically localised prostate cancerAnti Cancer Res2037913799

    Not in our library

  56. 56.

    HansenSGrabauDASorensenFBBakMVachWRoseC2000 The prognostic value of angiogenesis by Chalkley counting in a confirmatory study design on 836 breast cancer patientsClin Cancer Res6139146

    Not in our library

  57. 57.

    HeimanRFergusonDPowersCRecantWMWeichselbaumRRHellmanS1996 Angiogenesis as a predictor of long-term survival for patients with node-negative breast cancerJ Natl Cancer Inst8817641769

    Not in our library10.1093/jnci/88.23.1764

  58. 58.

    HildenbrandRDilgerIHorlinAStutteHJ1995 Urokinase and macrophages in tumour angiogenesisBr J Cancer72818823

    Not in our library10.1038/bjc.1995.419

  59. 59.

    HollingsworthHCKohnECSteinbergSMRothenbergMLMerinoMJ1995 Tumour angiogenesis in advanced stage ovarian carcinomaAm J Pathol1473341

    Not in our library

  60. 60.

    HorakERLeekRKlenkNLeJeuneSSmithKStuartNGreenallMStepniewskaKHarrisAL1992 Angiogenesis assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancerLancet34011201124

    Not in our library10.1016/0140-6736(92)93150-l

  61. 61.

    HolthoferHVirtanenIKariniemiALHormiaMLinderEMiettinenA1982 Ulex Eurpaeus I lectin as a marker for vascular endothelium in human tissuesLab Invest476066

    Not in our library

  62. 62.

    HuberSDelormeSKnoppMVJunkermannHZunaIvon FournierDvan KaickG1994 Breast tumours: Computer-assisted quantitative assessment with colour Doppler USRadiology192797801

    Not in our library10.1148/radiology.192.3.8058950

  63. 63.

    JacquemierJDPenault-LlorcaPBertucciFSunZZHouvenaeghelGFGeneixJAPuigBDBardouVJHassounJABirnbaumDViensPJ1998 Angiogenesis as a prognostic marker in breast carcinoma with conventional adjuvant chemotherapy: a multiparametric and immunohistochemical analysisJ Pathol184130135

    Not in our library10.1002/(sici)1096-9896(199802)184:2<130::aid-path19>3.0.co;2-w

  64. 64.

    KamijoTYokoseTHasebeTYonouHSasakiSHagashiREbiharaSMiyaharaHHosoiHOchigiA2000 Potential role of microvessel density in predicting radiosensitivity of T1 and T2 stage laryngeal squamous cell carcinoma treated with radiotherapyClin Cancer Res631593165

    Not in our library

  65. 65.

    KatoTKimuraTIshiiNFujiiAYamamotoKKameokaSNishikawaTKasajimaT1999 The methodology of quantitation of microvessel density and prognostic value of neovascularisation associated with long term survival in Japanese patients with breast cancerBreast Cancer Res Treat531931

    Not in our library10.1023/a:1006193024382

  66. 66.

    KimKJLiBWinerJArmaniniMGillettNPhillipsHSFerraraN1993 Inhibition of vascular endothelial growth factor induced angiogenesis suppresses tumour growth in vivoNature362841844

    Not in our library10.1038/362841a0

  67. 67.

    KumarSGhellalALiCByrneGHaboubiNWangJMBundredN1999 Breast cancer: vascular density determined using CD 105 antibody correlates with tumour prognosisCancer Res59856861

    Not in our library

  68. 68.

    LaneAMEganKMYangJSaornilMAAlroyJAlbertDGragoudasES1997 An evaluation of tumour vascularity as a prognostic indicator in uveal melanomaMelanoma Res7237242

    Not in our library10.1097/00008390-199706000-00008

  69. 69.

    LinderholmBTavelinBGrankvistKHenrikksonR1999 Does vascular endothelial growth factor (VEGF) predict local relapse and survival in radiotherapy treated node-negative breast cancer?Br J Cancer81727732

    Not in our library10.1038/sj.bjc.6690755

  70. 70.

    LiVWFolkerthRDWatanabeHYuCRupnickMBarnesPScottRMBlackPMSallenSEFolkmanJ1994 Microvessel count and cerebrospinal fluid basic fibroblast growth factor in children with brain tumoursLancet3448286

    Not in our library10.1016/s0140-6736(94)91280-7

  71. 71.

    LiottaLAKleinermanJSaidelGM1974 Quantitative relationship of intravascular tumour cells, tumour vessels and pulmonary metastases following tumour implantationCancer Res349971004

    Not in our library

  72. 72.

    MacaulayVMFoxSBZhangHWhitehouseRMLeekRDGatterKCBicknellRHarrisAL1995 Breast cancer angiogenesis and tamoxifen resistanceEndocrine-related Cancer297103

    Not in our library

  73. 73.

    MacchiariniPFontaniniGHardinMJSquartiniFAngelettiCA1992 Relation of neovascularisation to metastasis of non-small cell lung cancerLancet340145146

    Not in our library10.1016/0140-6736(92)93217-b

  74. 74.

    MaedaKChungYSTakatsukaSOgawaYSawadaTYamashitaYOnadaNKatoYNittaAArimatoY1995 Tumour angiogenesis as a predictor of recurrence in gastric carcinomaJ Clin Oncol13477481

    Not in our library10.1200/jco.1995.13.2.477

  75. 75.

    MaedaKChungYOgawaYTakatsukaSKangSMOgawaMSawadaTSowaM1996 Prognostic value of vascular endothelial growth factor expression in gastric carcinomaCancer77858863

    Not in our library10.1002/(sici)1097-0142(19960301)77:5<858::aid-cncr8>3.0.co;2-a

  76. 76.

    ManiotisAJFolbergRHessASeftorEAGardnerLMPe'erJTrentJMMeltzerPSHendrixJ1999 Vascular channel formation by human melanoma cells in vivo and in vitro: vasculogenic mimicryAm J Pathol155739752

    Not in our library10.1016/s0002-9440(10)65173-5

  77. 77.

    MartinLGreenBRenshawCLoweDRudlandPLeinsterSJWinstanleyJ1997 Examining the technique of angiogenesis assessment in invasive breast cancerBr J Cancer7610461054

    Not in our library10.1038/bjc.1997.506

  78. 78.

    MatsuuraTKuratateITeramachiKOsakiMFukudaYItoH1999 Thymidine phosphorylase expression is associated with both increase of intraturmoral microvessels and decrease of apoptosis in human colorectal carcinomasCancer Res5950375040

    Not in our library

  79. 79.
  80. 80.

    McCullochPChoyAMartinL1995 Association between tumour angiogenesis and tumour cell shedding into effluent venous blood during breast cancer surgeryLancet34613341335

    Not in our library10.1016/s0140-6736(95)92345-4

  81. 81.

    MedriLNanniOVolpiAScarpiEDubiniARiccobonABeccioliniABianchiSAmadoriD2000 Tumour microvessel density and prognosis in node-negative breast cancerInt J Cancer897480

    Not in our library

  82. 82.

    MiettinenMLindenmayerAEChaubalA1994 Endothelial cell markers CD31, CD34, and BNH 9 antibody to H- and Y-antigens–evaluation of their specificity and sensitivity in the diagnosis of vascular tumours and comparison with von Willebrand factorMod Pathol78290

    Not in our library

  83. 83.

    MorphopoulosGPearsonMRyderWDHowellAHarrisM1996 Tumour angiogenesis as a prognostic marker in infiltrating lobular carcinoma of the breastJ Pathol1804449

    Not in our library10.1002/(sici)1096-9896(199609)180:1<44::aid-path648>3.0.co;2-c

  84. 84.

    ObermairAWasickyRKaiderAPreyerOLoschALeodolterSKolbeH1999 Prognostic significance of tumour angiogenesis in epithelial ovarian cancerCancer Lett138175182

    Not in our library10.1016/s0304-3835(99)00005-1

  85. 85.

    OgawaYChungY-SNakataBTakatsukaSMaedaKSawadaTKatoYYoshikawaKSakuraiMSowaM1995 Microvessel quantitation in invasive breast cancer by staining for factor VIII-related antigenBr J Cancer7112971301

    Not in our library10.1038/bjc.1995.251

  86. 86.

    Oh-eHTanakaSKitadaiYShimamotoFYoshiharaMHarumaK2001 Angiogenesis at the site of deepest penetration predicts lymph node metastasis of submucosal colorectal cancerDis Colon Rectum4411291136

    Not in our library10.1007/bf02234633

  87. 87.

    OlivarezDUlbrightTDeReiseWFosterRReisterTEinhornLSledgeG1994 Neovascularisation in clinical stage A testicular germ cell tumour: prediction of metastatic diseaseCancer Res5428002802

    Not in our library

  88. 88.

    ParumsDVCordellJLMicklemKHeryetARGatterKCMasonDY1990 JC70: a new monoclonal antibody that detects vascular endothelium associated antigen on routinely processed tissue sectionsJ Clin Pathol43752757

    Not in our library10.1136/jcp.43.9.752

  89. 89.

    PezzellaFPastorinoUTagliabueEAndreolaSSozziGGaspariniGMenardSGatterKCHarrisALFoxSBBuyseM1997 Non-small cell lung carcinoma tumour growth without morphological evidence of neoangiogenesisAm J Pathol15114171423

    Not in our library

  90. 90.

    RiedelFGotteKSchwalbJBerglerWHermannK2000 Coexpression of VEGF and bFGF is associated with increased vascular density in head and neck carcinomasLaryngorhinootologie79730735

    Not in our library10.1055/s-2000-9131

  91. 91.

    RoseCHansenSGrabauDAet al2000 Microvessel density as compared to the Chalkley count in a prognostic study of angiogenesis in breast cancer patientsProc Am Soc Clin Oncol19p1058(Abstract 2580)

    Not in our library

  92. 92.

    SaclaridesTJSpezialeNJDrabESzelugaDJRubinDB1994 Tumour angiogenesis and rectal carcinomaDis Colon Rectum37921926

    Not in our library10.1007/bf02052599

  93. 93.

    SalehMStackerSAWilksAF1996 Inhibition of growth of C6 glioma cells in vivo by expression of anti-sense VEGF sequenceCancer Res56393401

    Not in our library

  94. 94.

    SchmidtNOWestphalMHagelCErgunSStarrouDRosenEMLamszusK1999 Levels of vascular endothelial growth factor, hepatocyte growth factor/scatter factor and basic fibroblast growth factor in human gliomas and their relation to angiogenesisInt J Cancer841018

    Not in our library10.1002/(sici)1097-0215(19990219)84:1<10::aid-ijc3>3.0.co;2-l

  95. 95.

    SchorAMPendletonNPazoukiSSmitherRLMorrisJLessanKHeerkensEChandrachudLMCarmichaelGAdiMChisholmDMStevensonH1998 Assessment of vascularity in histological sections: effects of methdology and value as an index of angiogenesis on breast tumoursHistochem J30849856

    Not in our library10.1023/a:1003437619956

  96. 96.

    SlatonJWInoueKPerrottePEl-NaggarAKSwansonDAFidlerIJDinneyCP2001 Expression levels of genes that regulate metastasis and angiogenesis correlate with advanced pathological stage of renal cell carcinomaAm J Pathol158735743

    Not in our library10.1016/s0002-9440(10)64016-3

  97. 97.

    SmithKFoxSBWhitehouseRTaylorMGreenallMClarkeJHarrisAL1999 Up regulation of basic fibroblast growth factor in breast carcinoma and its relationship to vascular density, oestrogen receptor, epidermal growth factor receptor and survivalAnn Oncol10707713

    Not in our library10.1023/a:1008303614441

  98. 98.

    SrivastavaALaidlerPHughesLEWoodcockJSheddenEJ1986 Neovascularisation in human cutaneous melanoma: a quantitative morphologcal and Doppler ultrasound studyEur J Cancer Clin Oncol2212051209

    Not in our library10.1016/0277-5379(86)90322-6

  99. 99.

    SrivastavaALaidlerPDaviesRPHorganKHughesLE1988 The prognostic significance of tumour vascularity in intermediate-thickness (0.76–4.0 mm thick) skin melanoma: a quantitative histologic studyAm J Pathol133419423

    Not in our library

  100. 100.

    StraumeOSalvesenHBAkslenLA1999 Angiogenesis is prognostically important in vertical growth phase melanomasInt J Oncol155999

    Not in our library10.3892/ijo.15.3.595

  101. 101.

    SugamotoTTanjiNSatoKFujitaHNishioSSakanakaMYokoyamaM2001 The expression of basic fibroblast growth factor and vascular endothelial growth factor in prostatic adenocarcinoma: correlation with neovascularisationAnticancer Res217788

    Not in our library

  102. 102.

    TakahashiYKitadaiYBucanaCDClearyKREllisLM1995 Expression of vascular endothelial growth factor and its receptor, KDR, correlates with vascularity, metastasis and proliferation of human colon cancerCancer Res5539643968

    Not in our library

  103. 103.

    TakahashiYClearyKRMaiMKitadaiYBucanaCDEllisLM1996 Significance of vessel count and vascular endothelial growth factor and its receptor (KDR) in intestinal type gastric cancerClin Cancer Res216791684

    Not in our library

  104. 104.

    TakanoSYoshiiYKondoSSuzukiHMarunoTShiraiSNoseT1996 Concentration of vascular endothelial growth factor in the serum and tumour tissue of brain tumour patientsCancer Res5621852190

    Not in our library

  105. 105.

    TanakaFOtakeYYanagiharaKKawanoYMiyaharaRLiMYamadaTHanaokaN2001 Evaluation of angiogenesis in non-small cell lung cancer: Comparison between anti-CD34 antibody and anti-CD105 antibodyClin Cancer Res734103415

    Not in our library

  106. 106.

    TanigawaNAmayaHMatsumaraMShimomatsuyaT1997 Association of tumour vasculature with tumour progression and overall survival of patients with non-early gastric carcinomasBr J Cancer75566571

    Not in our library10.1038/bjc.1997.99

  107. 107.

    ToiMInadaKHoshinaSSuzukiHKondoSTominagaT1995a Vascular endothelial growth factor and platelet-derived endothelial cell growth factor are frequently coexpressed in highly vascularised human breast cancerClin Cancer Res1961964

    Not in our library

  108. 108.

    ToiMInadaKSuzukiHTominagaT1995b Tumour angiogenesis in breast cancer: its importance as a prognostic indicator and the association with vascular endothelial growth factor expressionBreast Cancer Res Treat36193204

    Not in our library10.1007/bf00666040

  109. 109.

    ToiMKondoSSuzukiHYamamotoYInadaKImazawaTTaniguchiTTominagaT1996 Quantitative analysis of vascular endothelial growth factor in primary breast cancerCancer7711011106

    Not in our library10.1002/(sici)1097-0142(19960315)77:6<1101::aid-cncr15>3.0.co;2-5

  110. 110.

    TraweekSTKandalaftPLMehtaPBattiforaH1991 The human haematopoietic progenitor cell antigen (CD34) in vascular neoplasiaAM J Clin Pathol962531

    Not in our library10.1093/ajcp/96.1.25

  111. 111.

    TynninenOAronenHJRuhalaMPaetauAVon BoguslawskiKSalonenOJaaskelainenJPaavonenT1999 MRI enhancement and microvascular density in gliomas. Correlation with tumour cell proliferationInvest Radiol34427434

    Not in our library10.1097/00004424-199906000-00007

  112. 112.

    UedaMTeraiYKumagaiKUekiKOkamotoYUekiM1999 Correlation between tumour angiogenesis and expression of thymidine phosphorylase, and patient outcome in uterine cervical carcinomaHum Pathol3013891394

    Not in our library10.1016/s0046-8177(99)90074-6

  113. 113.

    VaccaARibattiDRoncaliLRanieriGSerioGSilvestrisFDammaccoF1994 Bone marrow angiogenesis and progression in multiple myelomaBr J Haematol87503508

    Not in our library10.1111/j.1365-2141.1994.tb08304.x

  114. 114.

    Van DijkeCFBraschRCRobertsTPWeidnerNMathurAShamesDMMannJSDemsarFLangPSchwickertHC1996 Mammary carcinoma model: correlation of macromolecular contrast-enhanced MR imaging, characterisations of tumour microvasculature and histologic capillary densityRadiology198813818

    Not in our library10.1148/radiology.198.3.8628876

  115. 115.

    Van DiestPJZeveringJPZeveringLCBaakJP1995 Prognostic value of microvessel quantitation in cisplatin treated stage 3 and 4 ovarian cancer patientsPathol Res Pract1912530

    Not in our library10.1016/s0344-0338(11)80918-0

  116. 116.

    Van HoefMEKnoxWFDhesiSSHowellASchorAM1993 Assessment of tumour vascularity as a prognostic factor in lymph node negative breast cancerEur J Cancer29A11411145

    Not in our library10.1016/s0959-8049(05)80304-1

  117. 117.

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