DNA Virus Infections Clinical Trial
Official title:
Studies of Small DNA Virus Encoded Oncogenes in Viral Carcinogenesis Using Laboratory Model Systems
Cancer is a devastating disease, presenting an immense disease burden to affected
individuals and their families as well as health care systems with 10.9 million new cases
and 6.7 million deaths per year. Approximately 12% of human cancers worldwide are caused by
oncoviruses infection with more than 80% of cases occurring in the developing world.
Tumor viruses can be classified into two groups based on their genetic material;
1. DNA tumor viruses:
1. Small DNA tumor viruses (Papilloma viruses, Polyoma viruses and adenoviruses).
2. Complex DNA tumor viruses (Herpes viruses and Hepatitis B viruses).
2. RNA tumor viruses ( Hepatitis C viruses and human T-cell leukemia virus "HTLV").
There are around 100 types of HPV, with different variations in their genetic and oncogenic
potential [5]. Thus, HPV genotypes are divided into 2 groups based on their vulnerability;
High risk HPV (HR-HPV) and low risk HPV (LR-HPV).
The HPV genome encodes several oncoproteins [5]. E6 and E7 are the main genes responsible
for cell transformation mediated by HR-HPV, and they modulate the activities of cellular
proteins that regulate the cell cycle. Thus, the presence of E6/E7 can be a specific marker
for diagnosing precancerous lesions by HPV.
Knowledge of the etiology of virus-mediated carcinogenesis, the networking of pathways
involved in the transition from infection to cancer and the risk factors associated with
each type of cancer, all suggest prophylactic and therapeutic strategies that may reduce the
risk of virus-mediated cancer.
Study subjects:
1. Inclusion criteria:
- Age: 18 - 65 years old.
- Women who are positive for HPV diagnosed by routine screening. Women willing to
participate in the study and sign an informed consent
2. Exclusion criteria:
• Age extremes (less than 18 years old or more than 65 years old).
- Immuno-comprised patients, patients under steroid therapy or chemotherapy, or
patients with serious medical illness that could affect their immune system.
- Unknown medical history.
Study Groups:
- Group 1 (Cases): Patients known to have Cancer cervix with any degree of
malignancy (diagnosed by routine screening or any other diagnostic tests)
- Group 2 (Controls): Women sharing the same inclusion and exclusion criteria, but
not known to have Cancer cervix
Aim of The Study:
1. Studying the role of HPV as an example of small DNA viruses in cell transformation
and carcinogenesis.
2. Determining the most HPV genotypes associated with high risks of cancer cervix
occurrence.
3. Detection of the HPV oncogenes playing role cell transformation and malignancy.
4. Studying the role of viral DNA integration in cellular transformation and
carcinogenesis.
Study methods:
Samples collection and storing:
- Samples will be obtained from the cervix with the brush or swab\ by following
the instructions corresponding to the type of collecting device.
- Collection tubes will be stored at room temperature (15-30 °C).
- Samples will be sent to the laboratory in less than 14 days following
collection
- The tubes can be preserved for 2-3 weeks at room temperature.
HPV detection:
- HPV cannot be propagated in tissue culture, and therefore, in most cases its
accurate identification relies on molecular biology techniques, such as
polymerase chain reaction (PCR).
HPV Genotyping:
• PCR-RFLP shows good discriminatory power by differentiating between HR and LR
HPV genotypes, and it is possible to identify single or multiple infections .
• In this technique, the amplified DNA is digested by restriction enzymes,
resulting in DNA fragments of various lengths. Each fragment length is
characteristic of a certain HPV genotype.
• The commonest restriction enzymes are BamHI, Dd6eI, HaeIII, HinfI, PstI and
RsaI.
HPV Oncogenes and oncoproteins:
• The main techniques used to detect mRNA for E6/E7 oncogenes are two commercial
assays: PreTectW Proofer and APTIMAW HPV Assay. These techniques are based on
transcription-mediated amplification of full-length E6/E7 transcripts using PCR.
Statistical analysis:
• Data will be analyzed by one-way analysis of variance using SPSS software
version 24.0. Values will be expressed as mean ± S.D. For comparison between 2
groups, Student's t test will be used to determine whether the cases was
significantly different from the control. Differences will be considered
statistically significant at P<0.05, while P<0.01 will represent more significant
change.
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