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| ID | Type | Description | Link |
|---|---|---|---|
| 299279 | Other Identifier | IRAS ID | |
| 22/NW/0297 | Other Identifier | REC number |
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| Name | Class |
|---|---|
| Cancer Research UK | OTHER |
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In stage 3 NSCLC, treatment and follow-up are generally performed in a 'one-size-fits-all' manner. In the setting of metastatic lung cancer there has been considerable success identifying biomarkers, which allow treatments to be tailored and lead to more personalised medicine. In patients with stage 3 disease there exists a significant unmet clinical need for equivalent biomarkers to guide treatment decisions such as to identify poor responders, predict benefit from treatment and diagnose relapse before standard of care imaging. Recent advances have made it possible to detect and quantify circulating-tumour DNA in peripheral blood of patients with stage 3 NSCLC, a promising prognostic biomarker and a measure of minimal residual disease. In addition, the information contained in routine medical images and electronic patient reported outcome measure (ePROM) questionnaires can add further predictive power to circulating tumour DNA and other clinical factors to determine patient's outcome. There is scope to integrate biomarkers in treatment decision algorithms aiming to make personalised treatment modifications (e.g. decision to treat with immunotherapy or not). VIGILANCE is a highly exploratory observational study to understand how these biomarkers might inform a future hypothesis driven interventional study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients diagnosed with stage 3 NSCLC | Patients will receive standard of care curative-intent radiotherapy treatment as decided by their primary oncologist. This includes radical radiotherapy, sequential chemoradiotherapy and concurrent chemoradiotherapy +/- consolidation immunotherapy. No changes in treatment. Patients will have data collected at baseline, during radiotherapy and for one year following radiotherapy. This longitudinal collection will include blood for circulating-tumour DNA analysis, electronic PROMS and radiomic analysis of standard of care imaging. |
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| Measure | Description | Time Frame |
|---|---|---|
| Prognostic model built using baseline and longitudinal circulating-tumour DNA, radiomic features and patient reported measures to predict survival, tumour control and early tumour relapse. | 2.5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Longitudinal description of circulating-tumour DNA patterns at baseline, during and for up to 1 year following completion of radiotherapy. | 2.5 years | |
| Longitudinal description of radiomic features at baseline, during and for up to 1 year following completion of radiotherapy. |
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Inclusion criteria:
Exclusion criteria:
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Patients treated under The Christie NHS Foundation Trust, Greater Manchester
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Christie NHS Foundation Trust | Recruiting | Manchester | United Kingdom |
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| D002289 | Carcinoma, Non-Small-Cell Lung |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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Circulating-tumour DNA is collected for analysis
| 2.5 years |
| Longitudinal description of patient reported outcomes at baseline, during and for up to 1 year following completion of radiotherapy. | 2.5 years |
| Predictive model built using baseline and longitudinal circulating-tumour DNA and radiomic features to predict benefit from consolidation immunotherapy. | 2.5 years |
| Associations between features and changes in features over time will be described, e.g. radiomic features associated with circulating-tumour DNA and radiomic features. | 2.5 years |
| D008171 |
| Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |