Brain metastasis (BM), the most common tumor of the central nervous system, occurs in 20-36% of primary cancers. In particular, 20-40% of patients with non-small cell lung cancer (NSCLC) develop brain metastases, with a dismal survival of approximately 4-11 weeks without treatment, and 16 months with treatment. This highlights a large unmet need to develop novel targeted therapies for the treatment of lung-to-brain metastases (LBM). Genomic interrogation of LBM using CRISPR technology can inform preventative therapies targeting genetic vulnerabilities in both primary and metastatic tumors. Loss-of-function studies present limitations in metastasis research, as knocking out genes essential for survival in the primary tumor cells can thwart the metastatic cascade prematurely. However, transcriptional overexpression of genes using CRISPR activation (CRISPRa) has the potential for overcoming dependencies of gene essentiality.
In this thesis, we created and utilized an in vivo genome-wide CRISPRa screening platform to identify novel genes, that when overexpressed, drive LBM. We have developed a patient-derived orthotopic murine xenograft model of LBM using a patient-derived NSCLC cell line (termed CRUK cells) from the Swanton Lab TRACERx study. We introduced a human genome-wide CRISPRa single guide RNA (sgRNA) library into non-metastatic and pro-metastatic lung cancer CRUK cells to achieve 500X representation of each sgRNA in the activation library. We then injected the cells into the lungs of immunocompromised mice and tracked lung tumor development and BM formation. Upon sequencing primary lung tumors and subsequent BM, we will identify enriched sgRNAs which may represent novel drivers of primary lung tumor formation and LBM.
To the best of our knowledge, this study is the first in vivo genome-wide CRISPR activation screen using patient-derived NSCLC cells to help elucidate drivers of LBM. This work serves to provide a framework to gain a deeper understanding of the regulators of BM formation which will hopefully lead to targeted drug discovery that will ultimately be used in clinical trials to help eradicate brain metastasis in NSCLC patients. / Thesis / Master of Science (MSc) / Brain metastasis, or the spread of a primary cancer from another organ to the brain, is the most common adult brain tumor. Brain metastases can arise after the treatment of primary tumors and are only detected in the clinic at a highly malignant stage. Current treatments for brain metastasis consist of surgical removal and palliative chemoradiotherapy, which fail to fully eliminate the brain tumor. Over 20% of cancer patients develop brain metastases, with lung, breast, and skin cancers leading as the top three sources of metastasis. In particular, 40% of patients with non-small cell lung cancer develop brain metastasis, with survival of only 4-11 weeks once diagnosed without treatment, and 16 months with treatment. As systemic therapies for the treatment of non-small cell lung cancer are becoming increasingly effective at controlling primary disease, patients are ironically succumbing to their brain tumors. This highlights a large unmet need to develop novel targeted therapies for the treatment of lung-to-brain metastases (LBM). Functional genomic tools provide the opportunity to investigate the genetic underpinnings of LBM. With the advent of gene editing technologies, we are able to overexpress various genes and observe the impact genetic perturbations have on tumor initiation, growth, and metastasis.
In this thesis, we devised a pre-clinical animal model of LBM that could be used to study genetic drivers of LBM using a gene overexpression tool such that one gene per tumor cell gets activated. We are then able to model the disease trajectory from a lung tumor to brain metastasis development using patient samples in our animal model and identify genes that, upon overexpression, drive LBM. This platform will lead to potential therapeutic targets to prevent the formation of LBM and prolong the survival of patients with non-small cell lung cancer.
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/26938 |
| Date | January 2021 |
| Creators | Aghaei, Nikoo |
| Contributors | Singh, Sheila, Biochemistry and Biomedical Sciences |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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