Abstract

Lung adenocarcinoma is the most frequently diagnosed subtype of lung cancer, and while the disease itself can be strenuous, the typical treatments such as chemotherapy are also known to cause whole body harm to the patient due to its systemic nature. Target therapies are increasingly gaining popularity for their ability to selectively apply the therapy to a specific cell. In terms of cancer, this method would lessen some, if not all the painful side-effects of chemotherapy and enhance a patient’s quality of life. Narrowing down what genes are deemed to be essential to the operation of the cell can help determine which gene-gene interactions would make prime candidates for further target therapy research. This project aimed to develop a cross referencing method using literature-minded and RNASeq data in order to identify essential gene-gene relations unique to lung adenocarcinoma cell lines. In doing so, two gene-gene relations with significant changes in gene expression values across all cell lines under chemotherapeutic conditions were successfully discovered. These relations can be used in future research to study as potential treatment targets to include alongside chemotherapy with the possibility to alleviate the severe side effects that the patients currently undergo with standard treatment.

Publication Date

5-2-2022

Document Type

Thesis

Student Type

Graduate

Degree Name

Bioinformatics (MS)

Department, Program, or Center

Thomas H. Gosnell School of Life Sciences (COS)

Advisor

Gary R. Skuse

Advisor/Committee Member

Gordon Broderick

Advisor/Committee Member

Matthew Morris

Campus

RIT – Main Campus

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