A long-standing clinical observation is that metastatic cancers are refractory to treatment. Even with the advent of molecularly targeted therapies, drug resistance almost always emerges and patients ultimately succumb to further metastatic spread of the cancer. In the case of EGFR mutant lung adenocarcinoma (LUAD), tumors can acquire resistance to tyrosine kinase inhibitors (TKI) while spreading to the liver and brain. The mechanisms linking these morbid outcomes remain poorly understood. Here, we propose to study the biological properties of EGFR mutant tumors as they evolve through TKI treatment, identify the factors that allow treated tumor cells to persist and how features of the metastatic niche and depth (or durability) of responses to TKIs are linked. We hypothesize that, 1) the tumor microenvironment (TME) and tumor cell extrinsic factors are critical determinants of disseminated tumor cell persistence following TKI treatment and 2) that the reliance on these factors decreases in highly resistant metastasis through sequential TKI treatment. To study this hypothesis, we have successfully established a repeat biopsy program to collect and analyze lung cancer specimens, including EGFR mutant LUADs before and after TKI treatment. Through this program we have established >20 patient-derived models of EGFR mutant LUAD, including organoid cultures and subcutaneous and orthotopic patient-derived xenografts (PDXs).
In Aim 1, we will generate additional patient- derived models of cancer (PDMCs) as organoids, subcutaneous or orthotopic PDXs, collected from 10 patients with EGFR mutant LUAD longitudinally prior to TKI treatment and at acquired resistance to TKIs. These PDMCs will be genomically and histologically characterized, while their TKI sensitivity will be compared to the patient specimens.
In Aim 2, we will leverage these models to determine the mechanisms by which TKI resistance affects the aggressiveness of EGFR mutant tumors. Using paired pre- and post-TKI PDMCs, we will evaluate the latency and site of relapse of these tumors. We will also determine how known mechanisms of TKI resistance affect the metastatic properties of EGFR mutant tumors and identify novel dual molecular mediators of resistance and metastasis. Finally, in Aim3, we will Identify tissue-specific determinants of tumor cell persistence following TKI treatment. Focusing on tumors that we know are responsive to specific TKIs, we will establish whether tumors implanted in different sites of metastases exhibit different sensitivity to TKIs and identify the cellular, molecular and pharmacological determinants of these differences. We will test the mechanistic prediction that the stromal extracellular matrix modulates the ability of tumor cells to persist upon TKI treatment. Thoracic malignancies account for most cancer-related deaths. By integrating the complementary expertise and resources of 2 principal investigators and collaborators, our aims will provide fundamental insights into the longitudinal evolution of EGFR mutant LUAD under treatment and the mechanistic relationship between drug resistance and the tumor microenvironment, which will lead to new therapeutic strategies for metastatic cancers.

Public Health Relevance

Thoracic malignancies are the principal source of cancer related deaths due to the rapid metastatic spread of lung cancer cells. Even in patients with metastatic disease treated with effective targeted therapies resistance eventually emerges and the lung cancer further metastasizes. Our novel multi-disciplinary approach proposes to generate new human patient-derived lung cancer models to study the molecular causes of these phenomena and will reveal fundamental new principles in cancer biology, drug resistance, and the tumor microenvironment.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01CA235747-01
Application #
9670932
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Espey, Michael G
Project Start
2019-04-23
Project End
2024-03-31
Budget Start
2019-04-23
Budget End
2020-03-31
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Yale University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520