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. 2015 Apr-Jun;41(2):145-151.
doi: 10.12865/CHSJ.41.02.09. Epub 2015 Apr 10.

Evaluation of Angiogenesis in Colorectal Cancer

I C Deliu  1 , P Ciurea  2 , D Neagoe  1 , M C Bezna  3 , I A Gheonea  4 , C D Uscatu  5 , T Dumitrescu  6 , T Ciurea  1
Affiliations

Evaluation of Angiogenesis in Colorectal Cancer

I C Deliu et al. Curr Health Sci J. 2015 Apr-Jun.

Abstract

Purpose: Angiogenesis is an important step in the process of cancer growth. The purpose of this study was to determine the neoangiogenesis with CD31, CD34 and CD105, and tried to observe the differences between these three antibodies.

Material/methods: The blood vessels stained with CD31, CD 34 and CD105 were counted, and we reported their number per square millimeter to obtain microvascular density (MVD). For angiogenesis quantification we determined the neoformation blood vessels with CD105. The CD31 and CD34 were used as control markers, in order to observe the difference between neoformation blood vessels and mature vessels.

Results: Comparing the average effective vessels marked with the 3 markers, Student t test showed that the mean number of blood vessels market with CD 34 is higher than blood vessels market with CD31 and CD 105. The value of the Student t test was highly significant in all three cases (p<0.001). By calculating the Pearson correlation coefficient for the relationship CD31-CD105 we obtained a value r = 0.440, which corresponds to p = 0.0013 < 0.05, indicating a statistically significant direct correlation between the two factors.

Conclusions: An important number of vessels (around 40%) that can be found in tumor area are neoformation vessels, this concept being an important assessment for the choice of the correct and effective treatment in colorectal adenocarcinoma.

Keywords: CD105; CD31; CD34; angiogenesis; colorectal cancer.

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Figures

Figure 1
Figure 1
Blood vessels from tumoral area marked with CD34 (A), CD31 (B) and CD105 (C). A, B and C depict the same case. The pictures were realized with the optical microscope Olympus CX31, coupled to a color video camera and were made in the intratumoral area (five pictures for each area).
Figure 2
Figure 2
Hematoxilin-Eosin, 20x objective. A - well diferentiated adenocarcinoma. B - moderately diferentiated adenocarcinoma. C - poorly diferentiated adenocarcinoma
Figure 3
Figure 3
Differention between the mean CD31 MVD and the mean CD105 MVD. Bars depict standard deviation
Figure 4
Figure 4
Pearson’s correlation for CD 34 and CD 31. Bar shows lack of correlation between the two data sets
Figure 5
Figure 5
Pearson’s correlation for CD 34 and CD 105. Bar shows lack of correlation between the two data sets
Figure 6
Figure 6
Pearson’s correlation for CD 31 and CD 105. Bar shows correlation between the two data sets
Figure 7
Figure 7
Differences between mean CD34 MVD reported to tumor grading
Figure 8
Figure 8
Differences between mean CD31 MVD reported to tumor grading
Figure 9
Figure 9
Differences between mean CD105 MVD reported to tumor grading
See this image and copyright information in PMC

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