Up-regulation of VEGF, c-fms and COX-2 expression correlates with severity of cervical cancer precursor (CIN) lesions and invasive disease.

OBJECTIVES: To describe the expression of vascular endothelial growth factor (VEGF), proto-oncogene macrophage colony-stimulating factor receptor (c-fms) and cyclooxygenase-2 (COX-2) in cervical carcinogenesis and to analyze the correlation of VEGF with c-fms and COX-2 expression. METHODS: In this study, 26 cases of benign cervix, 28 low-grade cervical intraepithelial neoplasia (CIN; CIN 1), 30 high-grade CIN (CIN 2/3) and 28 squamous cervical carcinomas (SCC) were examined by immunohistochemistry (IHC) and analysis was performed separately for epithelium and stroma. RESULTS: Positive epithelial expressions in normal cervix, low-grade CIN, high-grade CIN and SCC were, respectively: VEGF - 11.5%, 39.3%, 53.3% and 75% (P<0.001); c-fms - 0%, 10.7%, 40% and 67.9% (P<0.001); COX-2 - 7.7%, 39.3%, 80% and 100% (P<0.001). Stromal VEGF expression was higher than epithelial expression in all CIN grades and was also associated with the lesion grade, while c-fms and COX-2 stromal expression was weak. VEGF expression was statistically correlated to c-fms and COX-2 expression in high-grade CIN (P=0.020 and P=0.027, respectively) and SCC (P=0.015 and P=0.005, respectively). CONCLUSIONS: On the basis of our findings, these factors may participate in the development and progression of CIN lesions, with possible interaction of c-fms and COX-2 on VEGF expression, and may be potential molecular targets for studies of cervical cancer prevention and treatment.

Computer-assisted immunohistochemical analysis of cervical cancer biomarkers using low-cost and simple software.

The study of biomarkers by immunohistochemistry (IHC) for cervical cancer and intraepithelial lesions is a promising field. However, manual interpretation of IHC and reproducibility of the scoring systems can be highly subjective. In this article, we present a novel and simple computer-assisted IHC interpretation method based on cyan-magenta-yellow-black (CMYK) color format, for tissues with diaminobenzidine cytoplasmatic staining counterstained with methyl green. This novel method is more easily interpreted than previous computer-assisted methods based on red-green-blue (RGB) color format and presents a strong correlation with the manual H-score. It is simple, objective, and requires only low-cost software and minimal computer skills. Briefly, a total of 67 microscopic images of cervical carcinoma, normal cervix, and negative controls were analyzed in Corel Photo Paint X3 software in CMYK and RGB color format, and compared with manual H-score IHC assessments. The clearest and best positive correlation with the H-score was obtained using the image in CMYK color format and crude values of magenta color (Spearman correlation coefficient=0.84; agreement of 93.33%, P<0.001). To obtain this value, only 3 steps were necessary: convert the image to CMYK format, select the area of interest for analysis, and open the color histogram tool to visualize the magenta value.

Macrophages, inflammation and risk of cervical intraepithelial neoplasia (CIN) progression--clinicopathological correlation.

OBJECTIVE: To evaluate the population of macrophages during the cervical malignant transformation and its influence in CIN outcome. METHODS: Biopsies from 26 normal cervix, 28 low-grade (LSIL), 30 high grade squamous intraepithelial lesions (HSIL) and 28 squamous cell carcinomas (SCC) were stained by H&E to assess inflammation and by immunohistochemistry with anti-CD68 to detect macrophages. The macrophage count was corrected for the epithelial and stromal compartments using appropriate software. Clinical and prospective follow-up data were also available. RESULTS: We identified that macrophage count increased linearly with disease progression (median count per case at x200 magnification: normal, 5.1; LSIL, 5.5; HSIL, 9.9; SCC, 14.5; P<0.001), that inflammation also increased (moderate-intense inflammation present in 25%, 46.1%, 58.4% and 89.3% of normal, LSIL, HSIL and SCC, respectively; P<0.001) and that macrophage count was independently associated with the lesion grade (P<0.001). Moreover, macrophages showed an increasing migration into the epithelium along with the progression of CIN to invasive cancer. Of the 24 LSIL cases with information available, followed-up for 805+/-140 days, 16 regressed, 6 persisted and 2 progressed. Age, high-risk HPV or inflammation were not risk factors for persistent/progressed LSIL in our cohort. However, LSIL that persisted or progressed showed a higher macrophage count (median of 10.8) than lesions that regressed (7; P=0.031). CONCLUSIONS: The study on macrophages offers a potential approach for cervical cancer treatment, since macrophages are closely related to progression of CIN, and can be used as an applicable marker of such a risk.