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This pragmatic study looks to quantify the testing timeline, operational barriers, and outcomes of biomarker-guided therapy in a large, community-based, and largely unselected patient population with early stage and advanced stage, treatment-naive non-small cell lung cancer, whether squamous or non-squamous.
Lung cancer remains the most lethal malignancy in men and women in the U.S. Providing high quality management of these patients in the community setting as compared to hospital or academic centers offers the opportunity to reduce cost without sacrificing clinical outcome and simultaneously improving patient convenience and value. Many patients diagnosed with late-stage cancers can benefit from advanced biomarker testing, yet not all eligible patients receive this type of diagnostic testing today.
Within advanced non-small-cell lung cancer (aNSCLC), there are many specific somatic mutations observed in select patient populations that have targeted highly effective and less toxic therapies. National guidelines have advocated for broad tumor molecular profiling as a part of the standard diagnostic evaluation for aNSCLC, with the goal of identifying driver mutations for which effective therapies or clinical trials are available.
Furthermore, there is emerging evidence that molecular testing can impact treatment choices in earlier stages of lung cancer. However, adherence to genomic testing guidelines presents unique challenges to community oncologists. While most oncology clinical research has been conducted at well-established academic medical centers, over 85% of cancer patients are diagnosed and treated at local, community-based clinical practices. Barriers exist in the ability to order these tests efficiently, in a timely manner, and reimbursed accordingly. Furthermore, patient care can vary drastically based on community-associated disparities.
This pragmatic clinical trial will generate Real World Evidence (RWE) to validate efficacy of first treatment regimen in newly diagnosed patients with non-small cell lung cancer. The MYLUNG Program integrates three separate protocols: Protocol #1 will interrogate historical data from a large number of practices seeing lung cancer patients to evaluate biomarker testing, decision making patterns, the patient journey, and the tissue journey; Protocol #2 (current trial) will prospectively evaluate the patient journey in a limited number of index practices focused on testing; integration of testing results; and treatments. Interventional strategies to optimize these objectives will be developed and integrated into Protocol #3, which will evaluate the impact of these strategies on the patient journey as it relates to shared decision making.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Non-small Cell Lung Cancer |
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| Measure | Description | Time Frame |
|---|---|---|
| Proportion of Patients Who Do and Do Not Receive Biomarker Test Results Prior to Systemic Therapy or Death | i. Comprehensive testing is defined as both PD-L1 testing to guide use of immunotherapies & testing for all genomic alterations for which we have FDA-approved therapies incl EGFR, ALK, ROS1, BRAF, NTRK, RET, KRAS & MET ii. Document whether patient receives single gene testing for actionable mutations compared to those who receive comprehensive testing. For patients who start systemic therapy prior to or without biomarker results, we will catalog reasons for not conducting testing incl:
| 5 years from date of enrollment into study |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of patients placed on biomarker-directed first treatment regimen vs those who were not | To determine the proportion of patients placed on biomarker-directed first treatment regimen. For patients who have received biomarker test results with at least one actionable mutation, catalog the reason for not prescribing biomarker-targeted therapy. i. Lack of availability or delays in obtaining targeted therapy ii. Misinterpretation of test results iii. Clinical contraindications (allergies, end organ dysfunction, active autoimmune disease, etc.) iv. Patient/provider attitudes and perceptions v. Financial barriers / Uncovered costs vi. Patient performance status |
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Inclusion Criteria:
Exclusion Criteria:
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This pragmatic study looks to quantify the testing timeline, operational barriers, and outcomes of biomarker-guided therapy in a large, community-based, and largely unselected patient population with early stage and advanced stage, treatment naive non-small cell lung cancer.
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| Name | Affiliation | Role |
|---|---|---|
| Makenzi Evangelist, MD | New York Oncology Hematology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Southern Cancer Center, PC | Daphne | Alabama | 36526 | United States | ||
| Rocky Mountain Cancer Center |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 42018966 | Derived | Evangelist M, Wang B, Butrynski JE, Paschold J, Ward PJ, Waterhouse DM, Jotte RM, Ali K, Richards DA, Konduri K, Melnyk A, Owera RS, Hakimian D, Ghaddar H, Lander EM, Robert NJ, Yori JL, Upadhyay V, Spigel DR, Johnson ML. Biomarker Testing Rates and Patterns in Patients With Metastatic Non-Small Cell Lung Cancer: A Prospective, Observational Study in Community Practices. JCO Precis Oncol. 2026 Apr;10(4):e2500832. doi: 10.1200/PO-25-00832. Epub 2026 Apr 22. |
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| 5 years from date of enrollment into study |
| Time span between first systemic therapy as compared to date of initial presentation, date of diagnostic biopsy, date of first visit to a medical oncologist, and date of biomarker test order(s) and result(s). | 5 years from date of enrollment into study |
| Determine the variance in biomarker test order practice patterns by community cancer clinic settings as measured by percentage of comprehensive testing ordered, type of test ordered, and resulting treatment assigned to the patient. | Characteristics of the cancer care practices include, but not limited to, number of geographic clinic locations, clinical settings (rural or urban), staffing and responsibilities, patient volumes, and Oncology Care Model (OCM) status. | 5 years from date of enrollment into study |
| Denver |
| Colorado |
| 80218 |
| United States |
| Woodlands Medical Specialists, PA | Pensacola | Florida | 32503 | United States |
| Illinois Cancer Specialists | Niles | Illinois | 60714 | United States |
| Maryland Oncology Hematology, P.A. | Silver Spring | Maryland | 20904 | United States |
| Minnesota Oncology Hematology, P.A. | Minneapolis | Minnesota | 55404 | United States |
| New York Oncology Hematology, P.C. | Albany | New York | 12208 | United States |
| Oncology Hematology Care Clinical Trials, LLC | Cincinnati | Ohio | 45242 | United States |
| Willamette Valley Cancer Institute and Research Center | Eugene | Oregon | 97401 | United States |
| Texas Oncology - West Texas | Abilene | Texas | 79606 | United States |
| Texas Oncology- DFWW | Arlington | Texas | 76012 | United States |
| Texas Oncology-Dallas Presbyterian Hospital | Dallas | Texas | 75231 | United States |
| Texas Oncology-Baylor Charles A. Sammons Cancer Center | Dallas | Texas | 75246 | United States |
| Texas Oncology - Fort Worth Cancer Center | Fort Worth | Texas | 76104 | United States |
| Texas Oncology-McAllen | McAllen | Texas | 78503 | United States |
| Texas Oncology- Northeast Texas | Tyler | Texas | 75702 | United States |
| Virginia Cancer Specialists, PC | Fairfax | Virginia | 22031 | United States |
| Virginia Oncology Associates | Newport News | Virginia | 23606 | United States |
| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
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