INTERNATIONAL CONGRESS OF
CancerGenetics
Evaluation and Bioinformatics Analysis of Cervical Cancer Genetic Origin of Cervical Cancer among Patients and Feedback To Generation Drugs
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Majid Mesgartehrani,1,* Mohadese Aslani,2 Mohammad Mahdi Eslami,3 Saeid Mirlohi,4
1. Iran Genomics Scientific Pole, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2. Pasteur Institute
3. Tehran University of Medical Sciences, Tehran, Iran
4. Tehran University of Medical Sciences, Tehran, Iran
- Introduction: Cervical cancer is seen as a common disease among Iranian women. This study examines the genetic origin of cervical cancer and related chemotherapy drugs, which is one of the main methods in the cancer treatment protocol. We hope to improve cancer treatment using NGS technology and cancer genomic knowledge.
- Methods: This study was conducted through the NCBI database to classify several SNP-associated with genes based on population and most citations. Also, side effects caused by chemotherapy drugs used to treat cervical cancer in Iran were collected. The obtained information was analyzed by pharmacogenomics software (MEGA GENE) to analyze polymorphism information and identify side effects related to patients' genetics.
- Results: Analyzes based on MEGA GENE software show that RS1799966, RS28897672, RS1799950, RS144848, RS80359550, RS28897728,1800734, RS1799977, RS35502513 polymorphisms can be involved in the occurrence of cervical cancer with genetic origin. These SNPs can cause other phenotypes such as thalassemia, leukemia, Fanconi anemia, breast-ovarian cancer, and colorectal cancer.
- Conclusion: Based on our findings, we recommend that oncologists perform genetic testing to identify polymorphisms before prescribing chemotherapy to treat cervical cancer patients. This method allows specialists to prescribe drugs whose side effects are not the same as the possible phenotypes caused by the polymorphism detected in the patient's sample so that chemotherapy treatment can be performed with the least complications for the patient.
- Keywords: NGS, Cancer Genomics, Pharmacogenomics, Cervical Cancer, MEGA GENE
