Gastroenterology Research and Practice

Gastroenterology Research and Practice / 2009 / Article

Research Article | Open Access

Volume 2009 |Article ID 679830 |

Rafael Uribarrena A, Javier Ortego, Javier Fuentes, Nuria Raventós, Pilar Parra, Rafael Uribarrena E, "Prognostic Value of Microvascular Density in Dukes A and B (T1–T4, N0, M0) Colorectal Carcinomas", Gastroenterology Research and Practice, vol. 2009, Article ID 679830, 7 pages, 2009.

Prognostic Value of Microvascular Density in Dukes A and B (T1–T4, N0, M0) Colorectal Carcinomas

Academic Editor: Andrew Thillainayagam
Received09 Mar 2009
Accepted23 Aug 2009
Published04 Nov 2009


Background. Aproximatelly 30% of patients operated on for colorectal cancer (CRC), with an expectedly favourable prognosis (Dukes A-B/T1–T4, N0, M0) suffer recurrence and/or die. Method. In order to determine if tumor microvascular density (MVD) is a prognostic factor in CRC, samples from tumors of 104 Dukes A-B CRC patients were retrospectively studied. Immunohistochemistry was performed for anti-CD34 antibody to visualize tumor vascularisation. MVD was expressed as the total number of vessels and as the percentage of microvascular area. We calculated MVD with a morphometry program and performed descriptive, bivariate, and survival statistics. Results. The mean number of vessels was 37.37/200x field, and the mean vascular area was the 3.972%. 30% of the patients with  vessels/field, and 21% of the patients with  vessels/field, experienced recurrence/death. The 35% of patients with % of vascular area died following recurrence, compared with 14% of patients with ≥4% of vascular area. These differences in % of vascular area were statistically significant. Conclusion. MVD expressed as the total number of vessels had no a statistically significant influence on the evolution of CRC. However, neoplasias with a greater % of vascular were associated to a better outcome.

1. Introduction

Despite the advances in diagnostic and therapeutic methods, the global survival rate for colorectal adenocarcinoma (CRC) is approximately 50% and has not substantially improved in recent years [1]. It ranges 80%–90% in Dukes stage A, 60%–80% in Dukes B, 30%–35% in Dukes C, and 5%–25% in Dukes D [25]. The main prognostic factor in CRC is the presence or not of metastasis in the regional lymph nodes [1, 6]. Paradoxically, 20%–35% of patients diagnosed with CRC with negative lymph nodes (N0) based on conventional histological techniques will suffer tumour recurrence within 5 years [4, 5]. This leads us to ask what other possible prognostic factors might influence the evolution of the disease.

The degree to which a tumour is vascularised, expressed as microvascular density (MVD), also influences the evolution of CRC. In the majority of solid tumours, angiogenesis is essential for tumour growth and for its locorregional and remote extension [7, 8]. Initially, tumour growth is independent of the vascular contribution, as the neoplasic cells receive nutrition from the diffusion of oxygen and from the nutrients in the surrounding tissues. This characterises the prevascular phase of neoplasic growth, during which the tumour is only a few millimetres in size and has little capacity to disseminate. Subsequently, angiogenic substances are released by the tumour cells and healthy host tissue (fibroblasts, endothelial cells, macrophages, plasma cells). The angiogenic stimuli are varied and interrelated. They include hypoxia, specific growth factors, and interleukins [7, 911]. Following the release of the angiogenic substances, the endothelial cells migrate towards the tumour and proliferate inside of it, forming capillaries. The newly formed vessels are more porous, with fragmented basal membranes that allow nutrients to pass to the tumour stroma and cancer cells to enter into the circulation. In this vascular phase, the neoplasia grows quickly and the risk of remote metastasis increases [7, 12]. Nevertheless, tumor vascularisation is but a single step in the metastatic process. For remote metastasis to occur, each of the independent steps of the process must take place [13]. Furthermore, the increase of the tumour vascularisation permits the entry of immune system cells, that could limit tumor development.

There are various studies on the relationship between vascular density and other tumor parameters such as survival and remote metastasis in tumours of the breast and prostate gland, melanoma, and large-cell pulmonary carcinoma. In most cases, a direct relationship was found between MVD and metastasis, and an inverse relationship was found between MVD and patient survival [14, 15]. More recently, similar studies have been performed on colorectal cancer (CRC). The results of those studies are controversial because although the majority of them reported an association between a greater microvascular density, remote metastasis, and patient survival [1628], others did not [2931], and in some cases, high MVD was associated with better prognosis [3235].

Perhaps because of this contradictory results and although the majority tend to consider high MVD as a negative prognostic factor, a consensus review performed by the College of American Pathologists in 1999 on the prognostic factors in CRC classified MVD as a prognostic factors that required further study (category III) [36].

2. Methods

2.1. Patients

The retrospective study included 104 consecutive patients diagnosed with CRC in Dukes stages A and B (T1–T4, N0, M0) in the University Clinic Hospital in Zaragoza, Spain, and in the Provincial Hospital of Zaragoza. Exclusion criteria were as follows: the administration of adjuvant radio and chemotherapy, lymph node metastasis detected by means of the conventional histological methods (i.e., H&E), remote metastasis at the moment of surgery, and other neoplasias detected 5 years before or after CRC diagnosis that could interfere with its evolution.

2.2. Immunohistochemistry

Tissue samples from each CRC case were fixed in 10% neutral formalin and embeded in paraffin. The most representative portion of a tumour was selected for processing. Five micron thick sections of tissue were deparaffinised, hydrated, and placed in citrate buffer (pH 6). Endogenous peroxidise activity was blocked of incubation in 5% H2O2 in methanol. Antigen was demasked by pressure boiling in citrate (Target Retrieval Solution, Dakocytomation, Glostrup, Denmark) for 10 minutes. In order to ascertain tumour MVD, samples were blocked with horse serum and then incubated in the cross-sections through blocking serum (horse serum) and antiHuman Antibody CD34 (1/0 Ac monoclonal, clon QBEND/10 Dakocytomation, Glostrup, Denmark), since blood vessels are CD34 positive (Figures 1 and 2, foci of low and high MVD). We detected the antibody with the EnVision kit (Dakocytomation), with diaminobenzidine as a developer, and nuclear contrast staining with haematoxylin, as a chromogen.

2.3. Microscopic Study

The histological sections, immunostained for AB CD34, were studied by two pathologist (JO, PP), with a Leica DM 4000B microscope at a semipanoramic focus of 10 in order to locate the tumoral areas that contains the greater concentration of blood capillaries (hot spots).

Hot spots were selected by discarding all of the zones in which an increase in MVD was not intrinsically dependent on tumour growth dynamics but on added circumstances and/or complications and could be considered as reactive (Figure 3). The ruled out zones were superficial erosion/ulceration, the circumferential margin of intratumour necrosis foci, and host-tumour interface.

Images of eight selected fields within the hot spots were captured at 200 (ocular 10 , objective 20 ) with a Leica DFC 480 digital camera. The images were archived serially, ignoring the characteristics of individual CRC cases (e.g., evolution).

MVD was measured by counting the number of blood capillaries/200 field. Well-formed vascular structures, rudimentary vascular structures, and angioblasts, (i.e., all those structures that were inmunoreactive for CD 34) were included. The area of the vascularisation (cumulative area of each and every one of capillary vessels compared with the total area of the all field) was quantified relative to the total tumour area of each imaged field (percentage of area). MVD quantification was performed with ContImUZ 1.0 morphometry program, designed by the Digital Image Treatment Centre at the University of Zaragoza, that automatically calculates the Microvascularisation Density (MVD) of the tumour, by counting the number of objects in the image, by means of an automatic function with manual connection (Figure 4, whole process).

2.4. Statistical Study

Descriptive statistics of tumor characteristics included local infiltration: submucosa (T1), muscular (T2), meso (T3), and serosa-adjacents organs (T4); Dukes stage A or B (C and D were excluded); vascular, lymph node, and perineural invasion (yes or no); and MVD: expressed as the total number of vessels and as percentage of the vascular area; we also included tumour recurrence (yes or no) and month of recurrence and death (yes or no) and month of death.

Bivariate inferential statistics were performed to identify differences between the patients with a high and low MVD. We divided the patients in 2 groups according to the number of vessels per “hot spot” and percentage of vascularised area. As a cut point we used the arithmetic mean ( or 37 vessels or 4% of vascular area), relative to the studied variables. Pearson’s chi-squared test was used, with the Yates correction or Fisher’s exact test when necessary. The Student -test, variance analysis, the nonparametric Mann-Whitney U test, and the Kruskal-Wallis test were also used, for cases in which the ANOVA or the Kruskal-Wallis results were significant, between-group analyses using the Pearson correlation coefficient and the Spearman rank coefficient to ascertain which variables accounted for the differences. A 95% confidence level was chosen for statistical analyses.

3. Results

Of the 104 cases studied, 56 were Dukes stage A and 48 were Dukes stage B. According to local infiltration, 11 patients were T1, 45 were T2, 32 were T3, and 16 were T4.

The mean number of vessels per hot spot was 37.37 (range 14.9–74, standard deviation 9.75, median confidence interval 35.11–39.63), and the mean vascular area, expressed as % of tumor area occupied by vessels, was 3.976% (range 1.155–16.111, standard deviation 1.909, median confidence interval 3.534–4.419).

In 28 cases (26.92%) there was recurrence of the disease led to death. Recurrence occurred at a mean of 23.73 months of follow-up, (range 2–82 months, standard deviation (SD) 20.24 months, mean confidence interval (CI) 14.75–32.7). The bivariate inferential statistics was used to compare the total number of vessels and the vascular area relative to the Dukes stage, the local invasion (T stage) and the occurrence of recurrence and death.

The results of the Kruskal-Wallis demonstrated that there were not significant differences in the number of vessels ( , ) and in the percentage of the tumor vascularised area ( , ) compared with the local invasion (Tables 1 and 2).

Number of vesselsP-value


% vascularised areaP-value


We evaluated vascular invasion by neoplastic cells as a prognostic factor in CRC. Neoplastic cell invasion was detected in 5 of the 104 patients studied, and recurrence occurred in 4 (80%) of those patients. Recurrence occurred in 24 (24.24%) of the remaining 99 patients. According to Fisher’s exact test to compare vascular invasion (No, Yes), with cancer recurrence and death (No, Yes), we found significant differences between two groups. Patients with tumour vascular invasion had a significantly higher risk of recurrence and death ( ).

We also compared the Dukes stage with the tumor recurrence and death. In the Dukes A group ( ), 8 patients (14.3%) died due to recurrence of the disease. In Dukes B group ( ) cases, 20 patients (41.7%) died due to the CRC. Chi-square test indicated that there were significant differences between the Dukes A and Dukes B patients, with Dukes B patients having a higher risk of CRC recurrence ( value = .004). If we analyze local invasion, survival rate in T1 was 90.90%, in T2 84.44%, in T3 62.50%, and in T4 50.0%. T3 and T4 colorectal cancers had a significant association with tumor recurrence and death ( value = .0446) (Tables 3 and 4).




Local infiltrationRecurrence-deathP-value

Muscular propia-T238745


The bivariate inferential statistics of the number of vascular objects ( 37, 37) and tumor recurrence and death showed that there were no group differences regarding recurrence and death. Survival rate was 70.1% in 37 vessels per area group and 78.4% in 37 group. Pearson’s Chi square test indicated that there were no significant group differences in survival relative to the number of vascular objects (P value = .5000) (Table 5).

Number of objectsRecurrence-deathP-value



However, the bivariate inferential statistics for the vascularised tumour area ( 4%, 4%) and the colorectal cancer recurrence and death showed that recurrence in 4% group was 34.9%, compared with the 14.6% in the 4% group. Pearson’s Chi-square test demonstrated that there was a significant group difference in the survival relative to the vascularised tumor area. Patients with higher vascularized tumor area had a significant association with a better outcome (P value = .040) (Table 6).

Vascular area %Recurrence-deathP-value



4. Discussion

Other authors have previously reported that the main prognostic factor in CRC is the presence or absence of tumour metastasis in the regional lymph nodes [12, 13]. A decrease in CRC rate was observed between patients with Dukes stages B (N0) and Dukes stage C (N1), with survival rates of approximately 60%–80% and 30%–35%, respectively [2, 3]. It is especially notable that about 30% of the patients that are lymph node negative, based on routine H&E analysis, die from recurrence of the disease [25]. In this study, 14% of the patients with Dukes A CRC and 41% with Dukes B CRC suffered tumour recidivism that led to death. This represents almost a 27% recurrence for the Dukes A and B groups.

Dukes stage and local tumour growth are contrasted and widely accepted prognostic factors in CRC [25, 37, 38]. As expected, a significantly higher frequency of recidivism and death was observed in cases classified as Dukes B (41%) than Dukes A (14%).

We also examined the association between vascular invasion and prognosis. The finding of neoplasic cells in the blood vessels of the tumour was associated with an increase of tumour recurrence and survival reduction. Blood flow to the tumour is necessary for remote metastasis to occur and our finding agrees with the majority of literature pertaining to CRC prognostic factors [3942].

There are several studies with contradictory results regarding MVD as a prognostic factor in CRC. In the majority of reports, increase in tumour vascularisation favours the growth and remote dissemination of the cancer cells and is, therefore, a predictor of poor outcome in CRC [1628]. On the other hand, some authors have reported higher survival rates in tumours with high MVD. According to those studies, a higher MVD would induce a greater immune response that could slow tumour growth and dissemination [3235]. Finally, other published studies reported no relationship between tumour vascularisation and the evolution of CRC [2931].

One of the advantages of immunohistochemistry is the possibility of using tissue samples preserved in paraffin, which permits retrospective studies, as in our case [43]. To evaluate tumour vascularisation, MVD was determined by calculating the total number of vessels (number of objects) in the areas of greatest CD 34 immunoreactivity, that is, the areas with the higher number of capillary vessels or “hot spots.” Using this technique, the total number of vascular elements was considered, without differentiating their size. We also evaluated the MVD by determinating the percentage of the total tumor area that was vascularised. In that way, it was possible to differentiate microvessels from macrovessels, which gave us a more precise measure of the true degree of vascularisation. As a cutoff point for the survival study, the arithmetic mean of number of vessels (37/field) and vascularised area per “hot spot” (4%) of all patients was used. In order to increase accuracy, the number of vessels and the percentage of vascular area were evaluated in eight hot spots.

Compared with other studies, the present study introduces three novel approaches. Firstly, we calculated the number of vessels and the vascular area with a semiautomatic procedure (digital photography with a Leica DFC 480 camera and image analysis with an automatic quantification program ContImUZ). In this way, accuracy and objectivity were increased compared with semiquantative calculation which quantifies MVD as low, medium, or high [21, 23, 24]. Secondly, the area of vascularisation may better represent the true extent of tumor vascularisation, as considering only that the total number of vessels may induce a skewed result. That is, many of the vessels may be of scant calibre, and the MVD may be, in fact, much lower than calculated. Finally, “hot spots” were always chosen from fields away from the tumour margins, the host-tumour interface, areas of superficial erosion/ulceration, and the circumferential margin of necrosis foci. Those areas usually show increased vascularisation relative to the reminder of the tumour and may provide an erroneous idea of the true MVD.

Analysing the results of the bivariate analyses in relation to the total number of vascular objects, we observed that almost 30% of the patients with 37 vessels/field experienced tumour recurrence that led to death. This was the case for 21% of the patients with 37 vessels/field. However, the difference was not statistically significant. Therefore, we concluded that the number of vascular objects in the fields of greatest vascular density is not a prognostic factor in CRC. We observed a significant difference in recurrence and survival relative to the MVD expressed as % of vascular tumor area (% of tumor area occupied by vessels). Thirty-five percent of patients with 4% vascular area died following tumour recurrence compared with 14% of patients with 4% vascular area. The patients who survived with no recurrence had a significantly larger vascularised area compared with patients who had a poor evolution.

In conclusion, no significant relationship was observed between MVD, expressed as number of objects and tumor recurrence and death. However, there was a significant statistical association between a higher % of vascular tumor area and a more favourable prognosis. Dukes stage, local infiltration, and vascular invasion by neoplastic cells can also be considered as prognostic factors in CRC.


The authors would like to thank Lidia Floria, Carmen Marcellán, Pilar Pina, Sara Serrano and Carol Villalba, Senior Technicians of Pathology, for their collaboration in the technical part of this study, and Dr. Javier Mateos, of the Service de Pathology of the Hospital Provincial de Zaragoza, for the contribution of various cases.


  1. P. Fielding, “Staging systems,” in Cancer of the Colon, Rectum, and Anus, A. Cohen and S. Vimawer, Eds., p. 207, McGraw-Hill, New York, NY, USA, 1995. View at: Google Scholar
  2. S. H. Itzkowitz, “Cancer gastrointestinal: cancer de colon y recto,” in Digestive Diseases Self Education Program, C. M. Wilcox, Ed., p. 25, Medical Trends, Barcelona, Spain, 2001. View at: Google Scholar
  3. P. Hermanek, “pTNM and residual tumor classifications: problems of assesment and prognostic significance,” The World Journal of Surgery, vol. 19, pp. 180–190, 1995. View at: Google Scholar
  4. A. J. Bilchik, S. Saha, D. Wiese et al., “Molecular staging of early colon cancer on the basis of sentinel node analysis: a multicenter phase II trial,” Journal of Clinical Oncology, vol. 19, no. 4, pp. 1128–1136, 2001. View at: Google Scholar
  5. J. Ovaska, H. Järvinen, H. Kujari et al., “Follow-up of patients operated on for colorectal carcinoma,” American Journal of Surgery, vol. 159, no. 6, pp. 593–596, 1990. View at: Google Scholar
  6. R. C. Newland, P. H. Chapuis, M. T. Pheils, and J. G. MacPherson, “The relationship of survival to staging and grading of colorectal carcinoma: a prospective study of 503 cases,” Cancer, vol. 47, no. 6, pp. 1424–1429, 1981. View at: Google Scholar
  7. L. M. Ellis and I. J. Fidler, “Angiogenesis and metastasis,” The European Journal of Cancer, vol. 32A, no. 14, pp. 2451–2460, 1996. View at: Google Scholar
  8. N. Ferrara and T. Davis-Smyth, “The biology of vascular endothelial growth factor,” Endocrine Reviews, vol. 18, no. 1, pp. 4–25, 1997. View at: Publisher Site | Google Scholar
  9. I. J. Fidler and L. M. Ellis, “The implications of angiogenesis for the biology and therapy of cancer metastasis,” Cell, vol. 79, no. 2, pp. 185–188, 1994. View at: Publisher Site | Google Scholar
  10. J. Folkman, “Angiogenesis in cancer, vascular, rheumatoid and other disease,” Nature Medicine, vol. 1, no. 1, pp. 27–31, 1995. View at: Google Scholar
  11. S. A. Stacker, C. Caesar, M. E. Baldwin et al., “VEGF-D promotes the metastatic spread of tumor cells via the lymphatics,” Nature Medicine, vol. 7, no. 2, pp. 186–191, 2001. View at: Publisher Site | Google Scholar
  12. N. Weidner, “Tumor angiogenesis: review of current applications in tumor prognostication,” Seminars in Diagnostic Pathology, vol. 10, no. 4, pp. 302–313, 1993. View at: Google Scholar
  13. C. H. Blood and B. R. Zetter, “Tumor interactions with the vasculature: angiogenesis and tumor metastasis,” Biochimica et Biophysica Acta, vol. 1032, no. 1, pp. 89–118, 1990. View at: Publisher Site | Google Scholar
  14. N. Weidner, “Intratumoral vascularity as a prognostic factor in cancers of the urogenital tract,” The European Journal of Cancer A, vol. 32, no. 14, pp. 2506–2512, 1996. View at: Publisher Site | Google Scholar
  15. N. Weidner, P. R. Carroll, J. Flax, W. Blumenfeld, and J. Folkman, “Tumor angiogenesis correlates with metastasis in invasive prostate carcinoma,” American Journal of Pathology, vol. 143, no. 2, pp. 401–409, 1993. View at: Google Scholar
  16. R. E. Frank, T. J. Saclarides, S. Leurgans, N. J. Speziale, E. A. Drab, and D. B. Rubin, “Tumor angiogenesis as a predictor of recurrence and survival in patients with node-negative colon cancer,” Annals of Surgery, vol. 222, no. 6, pp. 695–699, 1995. View at: Google Scholar
  17. Y. Takebayashi, S. I. Akiyama, K. Yamada, S. Akiba, and T. Aikou, “Angiogenesis as an unfavorable prognostic factor in human colorectal carcinoma,” Cancer, vol. 78, no. 2, pp. 226–231, 1996. View at: Google Scholar
  18. C. J. Engel, S. T. Bennett, A. F. Chambers, G. S. Doig, N. Kerkvliet, and P. O. O'Malley, “Tumor angiogenesis predicts recurrence in invasive colorectal cancer when controlled for Dukes sataging,” The American Journal of Surgical Pathology, vol. 20, no. 10, pp. 1260–1265, 1996. View at: Google Scholar
  19. T. J. Saclarides, N. J. Speziale, E. Drab, D. Szeluga, and D. B. Rubin, “Tumor angiogenesis and rectal carcinoma,” Diseases of the Colon and Rectum, vol. 37, no. 9, pp. 921–926, 1994. View at: Google Scholar
  20. N. Weidner, J. P. Semple, W. R. Welch, and J. Folkman, “Tumor angiogenesis and metastasis. Correlation in invasive breast carcinoma,” The New England Journal of Medicine, vol. 324, no. 1, pp. 1–8, 1991. View at: Google Scholar
  21. Y. Takahashi, S. L. Tucker, Y. Kitadai et al., “Vessel counts and expression of vascular endothelial growth factor as prognostic factors in node-negative colon cancer,” Archives of Surgery, vol. 132, no. 5, pp. 541–546, 1997. View at: Google Scholar
  22. S. M. Kang, K. Maeda, N. Onoda et al., “Combined analysis of p53 and vascular endothelial growth factor expression in colorectal carcinoma for determination of tumor vascularity and liver metastasis,” International Journal of Cancer, vol. 74, no. 5, pp. 502–507, 1997. View at: Google Scholar
  23. Y. Takahashi, C. D. Bucana, K. R. Cleary, and L. M. Ellis, “P53, vessel count, and vascular endothelial growth factor expression in human colon cancer,” International Journal of Cancer, vol. 79, no. 1, pp. 34–38, 1998. View at: Publisher Site | Google Scholar
  24. A. Giatromanolaki, G. P. Stathopoulos, E. Tsiobanou et al., “Combined role of tumor angiogenesis, bcl-2, and p53 expression in the prognosis of patients with colorectal carcinoma,” Cancer, vol. 86, no. 8, pp. 1421–1430, 1999. View at: Publisher Site | Google Scholar
  25. S. Onogawa, Y. Kitadai, S. Tanaka, T. Kuwai, S. Kimura, and K. Chayama, “Expression of VEGF-C and VEGF-D at the invasive edge correlates with lymph node metastasis and prognosis of patients with colorectal carcinoma,” Cancer Science, vol. 95, no. 1, pp. 32–39, 2004. View at: Publisher Site | Google Scholar
  26. S. Zheng, M.-Y. Han, Z.-X. Xiao, J.-P. Peng, and Q. Dong, “Clinical significance of vascular endothelial growth factor expression and neovascularization in colorectal carcinoma,” World Journal of Gastroenterology, vol. 9, no. 6, pp. 1227–1230, 2003. View at: Google Scholar
  27. C. A. Staton, A. S. Chetwood, I. C. Cameron, S. S. Cross, N. J. Brown, and N. W. Reed, “The angiogenic switch occurs at the adenoma stage of the adenoma-carcinoma sequence in colorectal cancer,” Gut, vol. 56, no. 10, pp. 1426–1432, 2007. View at: Publisher Site | Google Scholar
  28. I. D. Wang, P. Wu, J. D. Mao, H. Huang, and F. Zang, “Relationship between vascular invasion, vascular density and micrometastasis,” World Journal of Gastroenterology, vol. 13, no. 46, pp. 6269–6273, 2007. View at: Google Scholar
  29. P. M. Pavlopoulos, A. E. Konstantinidou, E. Agapitos, N. Kavantzas, P. Nikolopoulou, and P. Davaris, “A morphometric study of neovascularization in colorectal carcinoma,” Cancer, vol. 83, no. 10, pp. 2067–2075, 1998. View at: Google Scholar
  30. F. Cianchi, A. Palomba, L. Messerini et al., “Tumor angiogenesis in lymph node-negative rectal cancer: correlation with clinicopathological parameters and prognosis,” Annals of Surgical Oncology, vol. 9, no. 1, pp. 20–26, 2002. View at: Publisher Site | Google Scholar
  31. C. I. Baeten, K. Castermans, H. F. Hillen, and A. W. Griffioen, “Proliferating endothelial cells and leukocyte infiltration as prognostic markers in colorectal cancer,” Clinical Gastroenterology and Hepatology, vol. 4, no. 11, pp. 1351–1357, 2006. View at: Publisher Site | Google Scholar
  32. G. Lindmark, B. Gerdin, C. Sundberg, L. Pahlman, R. Bergstrom, and B. Glimelius, “Prognostic significance of the microvascular count in colorectal cancer,” Journal of Clinical Oncology, vol. 14, no. 2, pp. 461–466, 1996. View at: Google Scholar
  33. B. F. Banner, R. Whitehouse, S. P. Baker, and R. S. Swanson, “Tumor angiogenesis in stage II colorectal carcinoma: association with survival,” American Journal of Clinical Pathology, vol. 109, no. 6, pp. 733–737, 1998. View at: Google Scholar
  34. J. D. White, P. W. Hewett, D. Kosuge et al., “Vascular endothelial growth factor-D expression is an independent prognostic marker for survival in colorectal carcinoma,” Cancer Research, vol. 62, no. 6, pp. 1669–1675, 2002. View at: Google Scholar
  35. G. M. Boxer, E. Tsiompanou, T. Levine, R. Watson, and R. H. Begent, “Immunohistochemical expression of vascular endothelial growth factor and microvessel counting as prognostic indicators in node-negative colorectal cancer,” Tumor Biology, vol. 26, no. 1, pp. 1–8, 2005. View at: Publisher Site | Google Scholar
  36. C. C. Compton, L. P. Fielding, L. J. Burgart et al., “Prognostic factors in colorectal cancer: college of American Pathologists consensus statement 1999,” Archives of Pathology and Laboratory Medicine, vol. 124, no. 7, pp. 979–994, 2000. View at: Google Scholar
  37. M. Bouvet, M. Milas, G. G. Giacco et al., “Predictors of recurrence after local excision and postoperative chemoradiation therapy of adenocarcinoma of the rectum,” Annals of Surgical Oncology, vol. 6, no. 1, pp. 26–32, 1999. View at: Publisher Site | Google Scholar
  38. C. Di Gregorio, P. Benatti, L. Losi et al., “Incidence and survival of patients with dukes A (stages T1 and T2) colorectal carcinoma: a 15-year population-based study,” International Journal of Colorectal Disease, vol. 20, no. 2, pp. 147–154, 2005. View at: Publisher Site | Google Scholar
  39. G. J. Offerhaus, F. M. Giardiello, J. A. Bruijn, T. Stijnen, E. N. Molyvas, and G. J. Fleuren, “The value of immunohistochemistry for collagen IV expression in colorectal carcinomas,” Cancer, vol. 67, no. 1, pp. 99–105, 1991. View at: Google Scholar
  40. O. Celen, E. Yildirim, and U. Berberoglu, “Factors influencing outcome of surgery for stage I rectal cancer,” Neoplasma, vol. 51, no. 6, pp. 487–490, 2004. View at: Google Scholar
  41. C. Hassan, A. Zullo, M. Risio, F. P. Rossini, and S. Morini, “Histologic risk factors and clinical outcome in colorectal malignant polyp: a pooled-data analysis,” Diseases of the Colon and Rectum, vol. 48, no. 8, pp. 1588–1596, 2005. View at: Publisher Site | Google Scholar
  42. A. N. Meguerditchian, I. Bairati, R. Lagace, F. Harel, and A. Kibrite, “Prognostic significance of lymphovascular invasion in surgically cured rectal carcinoma,” American Journal of Surgery, vol. 189, no. 6, pp. 707–713, 2005. View at: Publisher Site | Google Scholar
  43. D. M. Goldenberg, R. M. Sharkey, and F. J. Primus, “Carcinoembryonic antigen in histopathology: immunoperoxidase staining of conventional tissue sections,” Journal of the National Cancer Institute, vol. 57, no. 1, pp. 11–22, 1976. View at: Google Scholar

Copyright © 2009 Rafael Uribarrena A et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.