DEVELOPMENT OF DIAGNOSTICS AND PROGNOSTICS FOR LUNG CANCER
Development of Diagnostics and Prognostics for Lung Cancer
Abstract
Lung cancer is a significant public health problem worldwide and has been associated with significant morbidity and mortalities. Prompt diagnosis and treatment is an
effective method for reducing the mortality rates associated with the cancer. However, the current cancer diagnostic and prognostic methods have certain limitations
including poor sensitivity for peripheral lesions and a higher risk of pneumothorax. Research has shown that molecular methods for biomarkers in the sputum can be used
for early and accurate diagnosis and prognosis of lung cancer. Additional molecular biomarkers can also be determined by utilizing gene expression microarrays. This
study will aim at exploring the gene expression in lung cancer to identify biomarkers for the cancer that can be used for the diagnosis and prognosis of the condition.
The method of the study will be the use of primary and secondary empirical data by gene expression microarrays, artificial neural network, and systems biological
approach as well as a search into the ArrayExpress databases. The results of this study are expected to provide lung cancer biomarkers that can be used for early and
accurate diagnosis of the cancer as well as its prognosis.
