Abstract
Exploration of Cervical-Squamous-Epithelial-Cell (CSEC) Biometrics from Thin-Prep Pap Smear on GA Genotype of Fas-Promoter-670 Gene in Indonesian Women Living with High-Risk HPV and Candida sp. Infection: A Case Report
Mauritius Lambertus Edy Parwanto*, Raditya Wratsangka, Assangga Guyansyah, Kirana Anggareni, Reza Aditya Digambiro, David David, Hanslavina Arkeman, Hosea Jaya Edy, Yosua Jaya Edy, Sisca Sisca and Haryo Ganeca Widyatama
Corresponding Author: Mauritius Lambertus Edy Parwanto, Department of Biology, College of Agriculture, Tikrit University, Iraq
Accepted: November 01, 2019
Citation: Parwanto MLE, Wratsangka R, Guyansyah A, Anggareni K, Digambiro RA, et al. (2019) Exploration of Cervical-Squamous-Epithelial-Cell (CSEC) Biometrics from Thin-Prep Pap Smear on GA Genotype of Fas-Promoter-670 Gene in Indonesian Women Living with High-Risk HPV and Candida sp. Infection: A Case Report. BioMed Res J, 3(S1): 09.
Copyrights: ©2019 Parwanto MLE, Wratsangka R, Guyansyah A, Anggareni K, Digambiro RA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Background: Human Papilloma Virus (HPV) infection can change Cervical-Squamous-Epithelial Cells (CSEC) to be abnormal. Epigenetically, this change in the direction of abnormality in CSEC is partly due to the polymorphism of the Fas-promoter-670 gene. High-risk HPV patients can be infected by other microbes, for example Candida sp. The purpose of this study was to show the appearance of Candida sp. and CSEC based on epigenetics on the Fas-promoter-670 gene polymorphism in Indonesian women with high-risk HPV infection. Biometric quantification is carried out with the following CSEC performance characteristics.

Case presentation: Indonesian women at the age of 28 years, living with high-risk HPV and Candida sp. infection, on April 21, 2016 had a Pap smear examination using a thin-prep method and also blood drawn from the cubital vein (vena cubiti). Blood and thin-prep samples were detected of Fas-promoter-670 gene polymorphisms by Restriction Fragment Length Polymorphism (RFLP) with BstN1 enzyme. Epigenetically, the subjects in this case had the GA genotype of Fas-promoter-670 gene in both blood and thin-prep samples. Candida sp. infection in patients is divided into early and advanced stages. Candida sp. infection in the early stages with characteristic by appearance of polymorphonuclear leukocytes on the hyfa, whereas at an advanced stage without polymorphonuclear leukocytes on the hyfa. CSEC performance (n cells=27) as follow: Cell Length (CL)=5.38 ± 0.77 µm (CI 95%=5.10-5.67 µm), Cell Width (CW)=4.37 ± 0.57 μm (95% CI=4, 16-4.58 μm); Cell Area (CA)=20.29 ± 4.46 μm2 (95% CI=18.62-22.01 μm2); Cell Perimeter (CP)=16.52 ± 1.83 μm (95% CI=15.80-17.21 (μm); Nucleus Length (NL)=0.81 ± 0.11 μm (95% CI=0.77-0.86 μm); Nucleus Width (NW)=0.62 ± 0.09 μm (95% CI=95% CI 0.58-0.65 μm); Nucleus Area (NA)=0.41 ± 0.10 μm2 (95% CI=0,38-0.45 μm2); Nucleus Perimeter (NP)=2.38 ± 0.27 μm (95% CI=2.29-2.49 μm); Nucleus Length Index (NLI)=15.43 ± 3.03 (95% CI=14.31-16.62); Nucleus Width Index (NWI)=14.46 ± 3.38 (95% CI=13.32-15.78); Nucleus Area Index (NAI)=2.16 ± 0.75 (95% CI=1.90-2.45) and the Nucleus Perimeter Index (NPI)=14.61 ± 2.29 (95% CI=13.77-15.49).

Conclusion: Epigenetically, the subject in this case had the GA genotype of the Fas-promoter-670 gene in blood and thin-prep samples. We found the early stages of Candida sp. infection which is characterized by appearance of polymorphonuclear leukocytes on the hyfa, whereas at an advanced stage without polymorphonuclear leukocytes on the hyfa. Base on the result of biometrics characteristic such as CL, CW, CA, CP, NL, NW, NA, NP, NLI, NWI, NAI and the NPI, CSEC in this case is a normal. Our team recommends a re-examination after 6 months.

 

Keywords: Epigenetically, Fas promoter-670 gene, Candida sp., Cervical-squamous-epithelial-cells, Cell biometrics