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| ID | Type | Description | Link |
|---|---|---|---|
| 2014-010 | Other Identifier | CCRRC | |
| JT 5957 | Other Identifier | JeffTrial Number |
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This pilot research trial studies circulating tumor deoxyribonucleic acid (DNA) in predicting outcomes in patients with stage IV head and neck cancer or stage III-IV non-small cell lung cancer. Studying circulating tumor DNA from patients with head and neck or lung cancer in the laboratory may help doctors predict how well patients will respond to treatment.
PRIMARY OBJECTIVES:
I. To evaluate the predictive value of the circulating tumor DNA for disease-free survival/progression-free survival in patients with advanced head and neck carcinoma (HNC) and non-small cell lung cancer (NSCLC).
SECONDARY OBJECTIVES:
I. To correlate the levels of plasma tumor DNA with the salivary tumor DNA. II. To correlate the mutations found in the circulating tumor DNA with the mutations in the tumor tissues.
III. To evaluate the association between presence and absence of circulating tumor DNA mutation with the tumor burden assessed by using the radiological findings and pre-treatment fludeoxyglucose (FDG) positron emission tomography (PET)-derived metrics: metabolic tumor volume (MTV), maximum standardized uptake value (SUVmax), total glycolytic activity (TGA).
IV. To quantify tumor-specific exosomes from plasma. V. To evaluate the utility of cancer-derived exosomes to serve as prognostic biomarkers for real-time monitoring of therapeutic efficacy and identifying early recurrence using longitudinal samples from cancer patients undergoing treatment.
OUTLINE:
Patients undergo blood sample collection within 1 month before surgery, radiation therapy, or chemotherapy; within 1 week after surgical resection (for patients having upfront surgery); within 1 month before beginning of post-operative radiation therapy (for patients having upfront surgery); during the second week of radiation therapy, during the last week of radiation therapy; and at 1 and 3 months after radiation therapy and then every 3 months for up to 18 months. Patients also undergo saliva sample collection within 1 month before surgery, radiation therapy, chemoradiation therapy, or system chemotherapy and tissue collection at the time of surgery (if upfront surgery is indicated). Blood, saliva, and tissue samples are analyzed for tumor mutations via next generation sequencing.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Predictive value of circulating DNA | Patients undergo blood sample collection within 1 month before surgery, radiation therapy, or chemotherapy; within 1 week after surgical resection (for patients having upfront surgery); within 1 month before beginning of post-operative radiation therapy (for patients having upfront surgery); during the second week of radiation therapy, during the last week of radiation therapy; and at 1 and 3 months after radiation therapy and then every 3 months for up to 18 months. Patients also undergo saliva sample collection within 1 month before surgery, radiation therapy, chemoradiation therapy, or system chemotherapy and tissue collection at the time of surgery (if upfront surgery is indicated). Blood, saliva, and tissue samples are analyzed for tumor mutations via next generation sequencing. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cytology specimen | Other | Correlative studies |
|
| Measure | Description | Time Frame |
|---|---|---|
| Predictive value of circulating tumor DNA for disease-free survival (DFS)/progression-free survival (PFS) | To evaluate the predictive value of circulating tumor DNA for DFS/PFS, Cox proportional model will be utilized. Circulating tumor DNA will be treated as either continuous or categorical variables in the regression models. The optimal cut-off value to dichotomize the patients by circulating tumor DNA will be determined by time-dependent receiver operating characteristic curve. | Up to 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between plasma tumor DNA levels and salivary tumor DNA levels | The correlation between plasma tumor DNA and salivary tumor DNA levels will be modeled through linear regression with least squares approach or using the Spearman correlation coefficient. | Up to 2 years |
| Association between absence and presence of circulating tumor DNA mutation with the tumor burden |
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Inclusion Criteria:
Exclusion Criteria:
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Patients diagnosed with advanced head and neck carcinoma or NSCLC enrolled at Thomas Jefferson University
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| Name | Affiliation | Role |
|---|---|---|
| Voichita Bar-Ad, MD | Thomas Jefferson University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Thomas Jefferson University | Philadelphia | Pennsylvania | 19107 | United States |
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| Label | URL |
|---|---|
| Kimmel Cancer Center at Thomas Jefferson University, an NCI-Designated Cancer Center | View source |
| Jefferson University Hospitals | View source |
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Blood, saliva, and tissue
| Laboratory biomarker analysis | Other | Correlative studies |
|
Univariate chi-square tests will be used to access the association between absence and presence of circulating tumor DNA mutation with the tumor burden. |
| Up to 2 years |
| Association between absence and presence of circulating tumor DNA mutation with FDG-PET tumor hypermetabolism status | Univariate chi-square tests will be used to access the association between absence and presence of circulating tumor DNA mutation with FDG-PET tumor hypermetabolism status. | Up to 2 years |
| Correlation between mutations found in plasma and tissue mutations | The correlation between mutations found in plasma and tissue mutations will be first explored by univariate chi-square test and then multivariable logistic regression. | Up to 2 years |
| Correlation between circulating tumor cells and circulating tumor DNA | The correlation between circulating tumor cells and circulating tumor DNA levels will be modeled through linear regression with least squares approach or using the Spearman correlation coefficient. | Up to 2 years |
| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D000077195 | Squamous Cell Carcinoma of Head and Neck |
| D012468 | Salivary Gland Neoplasms |
| D014062 | Tongue Neoplasms |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D006258 | Head and Neck Neoplasms |
| D009062 | Mouth Neoplasms |
| D009059 | Mouth Diseases |
| D009057 | Stomatognathic Diseases |
| D012466 | Salivary Gland Diseases |
| D014060 | Tongue Diseases |
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