DISCRIMINANT SCORE (D SCORE) A MODEL TO PREDICT LUNG CANCER BASED ON THE EXPRESSION STUDY OF PANEL OF GENES AND MICRORNAS IN THE PLASMA
| Main Author: | Hussain Abady Aljebori. |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1174844 |
Daftar Isi:
- Background: Lung cancer is the leading cause of death from cancer worldwide in adult, and accounting for (13%) of all newly diagnosed cancer cases. Inspite of that there is no effective method for screening of highly susceptible groups such as chronic heavy smokers. The present study depends on expression of panel of genes and microRNAs that are involved or the result of lung cancer formation in blood samples taken from cancer and non-cancer lung cases to design a discrimination score that can exclude or predict lung cancer. Objective: Is to design a discrimination score (D score) to predict lung cancer in blood samples based of expression study of a panel of genes and microRNAs. Patients and Method: A case control study on expression of P53, KRAS, c-MYC, and Her-2/neu genes, microRNAs 21, 34a, 92, and 98 in blood samples taken from patients positive and negative for lung cancer. Results: The discrimination score (D score) was obtained per a mathematical equation for each sample. According to the value of discrimination score: any new case with a discrimination score (D score) more than 0.0 is considered as a lung cancer and the higher the result the more we are confident the case is lung cancer. Any case with discrimination score below 0.0 is considered as a benign lung condition, and the lower the result the more we are confident the case is a benign condition.