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Lung cancer is a leading cause of cancer death worldwide. Early diagnosis is linked to a better prognosis. Further, surgical resection at the early stages of non-small cell lung cancer (NSCLC) results in markedly improved survival rates. Computed tomography (CT)- or bronchoscopy-guided needle biopsies are standard definitive diagnostic procedures for lung cancer and are used to obtain tissue for pathological examination. However, these procedures are invasive, difficult to repeat, expensive, and risk exposure to radiation. Conversely, liquid biopsies, such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and extracellular vesicles (EVs), are simple and less invasive procedures that can be repeated more frequently than tissue biopsies.
To analyze the exosomes abundantly present in the blood and to conduct clinical studies to determine whether it is possible to diagnose lung cancer. To this end, blood samples from normal people (n = 150) and lung cancer patients (n = 320) are obtained from the Human biobank of five hospitals participating in the study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Lung cancer |
| ||
| Healthy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Exosome sampling | Diagnostic Test |
|
|
| Measure | Description | Time Frame |
|---|---|---|
| Evaluation of the distinction between healthy controls and lung cancer patients through deep-learning analysis of exosomes | Comparative evaluation of whether it is possible to distinguish between healthy controls and lung cancer patients through deep-learning analysis of exosomes | 3 years |
| Evaluating the possibility of distinguishing between normal and lung cancer patients through the analysis of lung cancer-specific exosomal protein | Quantitative analysis using lung cancer-specific exosomal protein evaluated the possibility of distinguishing between healthy controls and lung cancer patients. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluation of the possibility of distinguishing the early pathological stages in lung cancer patients through deep-learning analysis of exosomes | Evaluating whether the early stages of lung cancer patients can be distinguished using deep-learning analysis of exosomes | 3 years |
| Evaluation of the possibility of distinguishing the early pathological stages in lung cancer patients through quantitative analysis of lung cancer specific exosomal proteins |
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Inclusion Criteria:
Exclusion Criteria:
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For this study, Koreans, regardless of gender, were studied for adults over 40 years of age.
Participating institutions for this clinical research are Korea University Guro Hospital, Gangnam Severance Hospital, Bundang Seoul National University Hospital, Seoul Asan Hospital, and Samsung Seoul Hospital.
Blood plasma samples is taken from stored in the biobank of each hospital.
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| Name | Affiliation | Role |
|---|---|---|
| Hyun Koo MD, PhD, MD, PhD | Professor | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Korea University Guro Hospital | Seoul | Guro-gu | 08308 | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17145848 | Background | Kaplan RN, Rafii S, Lyden D. Preparing the "soil": the premetastatic niche. Cancer Res. 2006 Dec 1;66(23):11089-93. doi: 10.1158/0008-5472.CAN-06-2407. | |
| 19308068 | Background | Psaila B, Lyden D. The metastatic niche: adapting the foreign soil. Nat Rev Cancer. 2009 Apr;9(4):285-93. doi: 10.1038/nrc2621. |
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| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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Blood plasma
Evaluating whether the early stages of lung cancer patients can be distinguished using quantitative analysis of lung cancer specific exosomal proteins |
| 3 years |
| 20610625 | Background | Talmadge JE, Fidler IJ. AACR centennial series: the biology of cancer metastasis: historical perspective. Cancer Res. 2010 Jul 15;70(14):5649-69. doi: 10.1158/0008-5472.CAN-10-1040. Epub 2010 Jul 7. |
| 18066649 | Background | Bidard FC, Pierga JY, Vincent-Salomon A, Poupon MF. A "class action" against the microenvironment: do cancer cells cooperate in metastasis? Cancer Metastasis Rev. 2008 Mar;27(1):5-10. doi: 10.1007/s10555-007-9103-x. |
| 20567244 | Background | van Akkooi AC, Verhoef C, Eggermont AM. Importance of tumor load in the sentinel node in melanoma: clinical dilemmas. Nat Rev Clin Oncol. 2010 Aug;7(8):446-54. doi: 10.1038/nrclinonc.2010.100. Epub 2010 Jun 22. |
| 42087680 | Derived | Choi BH, An H, Cho S, Lee S, Kim HR, Cho JH, Lee JH, Kim GY, Jeon OH, Shin H, Choi Y, Kim HK. GCC2 in Small Extracellular Vesicles as a Diagnostic and Prognostic Biomarker of Early-Stage Lung Adenocarcinoma. J Extracell Vesicles. 2026 May;15(5):e70264. doi: 10.1002/jev2.70264. |
| D008171 |
| Lung Diseases |
| D012140 | Respiratory Tract Diseases |