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This study aims to investigate the impact of immunotherapy on the immune status of tumor microenvironment and peripheral blood of chest cancer patients. To do so, the investigators plan to collect tumor tissue and peripheral blood samples before and after immunotherapy, and use single-cell RNA sequencing, Multiplex immunohistochemistry, and flow cytometry. The investigators will analyze changes in the proportion of cancer cell-specific T-cell subpopulations related to treatment response before and after therapy, and seek biological markers that can predict the efficacy of immunotherapy.
The potential biomarkers, that can be utilized to predict the efficacy of cancer immunotherapy, in tumor tissue and peripheral blood are planning to be verified in lung cancer patients and esophageal cancer patients. Tumor tissues, acquired from surgery to remove tumor, are investigated by single-cell RNA sequencing, Multiplex immunohistochemistry etc. to explore the biomarkers. In addition, immune microenvironment of the peripheral blood mononuclear cells were analyzed by flow cytometry and ELISPOT to quantify specific T cells groups that are correlated with efficacy of cancer immunotherapy. The changes in the proportion of specific T-cell subpopulations that can kill cancer cells will be analyzed before treatment and after treatment. The immunotherapy responses before and after therapy are planning to analyzed with the content of specific T cells. Thus the investigators will seek biological markers that can predict the efficacy of immunotherapy.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| In vitro stimulation of Pbmc with tumor antigen nanoparticles | Other | PBMCs were isolated from peripheral blood of cancer patients, and PBMC are co-incubated with nanoparticles loading tumor antigens for specific time in vitro to detect T cells that are related with efficacy of cancer immunotherapy. The content of such T cells are studies the correlation with the efficacy of cancer immunotherapy and patient prognosis. |
| Measure | Description | Time Frame |
|---|---|---|
| The changes of immune cell subsets in tumor microenvironment and peripheral blood in patients | tumor antigen specific T cells measured by flow cytometry or single cell sequencing are increased after immunotherapy Single-cell sequencing and Flow cytometry are applied to detect immune cell subtypes and tumor-specific T cells in the tumor microenvironment and peripheral blood of patients with tumors who had received immunotherapy. Flow cytometric antibody used in the study to label activated T cells include CD19, CD3, CD4, CD8, CD25, CD39, CD137, CD69, Foxp3, IFN gamma et al. | Within one month of completing immunotherapy |
| Measure | Description | Time Frame |
|---|---|---|
| Exploring the feasibility of tumor-specific T cells as a biomarker for predicting the efficacy of immunotherapy: the absolute amount and proportion of tumor antigen specific T cells are increased in patients that response to cancer immunotherapy | Antigen-activated tumor-specific T cells (CD39, CD137, CD69, IFN gamma et al. as markers) in the peripheral blood of patients with lung cancer and esophageal cancer are assessed by using flow cytometry, and immunotherapy response are assessed according to RECIST v1.1 criteria, and then the predictive power of tumor-specific T-cell numbers for immunotherapy response are about to be measured by using ROC curves and compared with PD-L1 expression; TMB and other predictive markers are about to be compared. |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a pathological diagnosis of lung cancer or esophageal cancer who have agreed to receive PD-1/PD-L1 antibody immunotherapy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mi Liu | Contact | 86-0512-67972216 | mi.liu831116@icoud.com | |
| Jun Zhao | Contact | 86-0512-67972216 | zhaojia0327@126.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The first affiliated hospital of soochow university | Recruiting | Suzhou | Jiangsu | 215000 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39498880 | Derived | Zeng W, Wang J, Chen Z, Yang J, Zhu A, Zheng Y, Chen X, Liu Y, Wu L, Xie Y, Ju S, Chen J, Ding C, Li C, Tong X, Liu M, Zhao J. Efficient Predictor for Immunotherapy Efficacy: Detecting Pan-Clones Effector Tumor Antigen-Specific T Cells in Blood by Nanoparticles Loading Whole Tumor Antigens. Adv Sci (Weinh). 2025 Jan;12(2):e2409913. doi: 10.1002/advs.202409913. Epub 2024 Nov 5. |
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| Within one month of completing immunotherapy |
| ID | Term |
|---|---|
| D008175 | Lung Neoplasms |
| D004938 | Esophageal Neoplasms |
| ID | Term |
|---|---|
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D006258 | Head and Neck Neoplasms |
| D004066 | Digestive System Diseases |
| D004935 | Esophageal Diseases |
| D005767 | Gastrointestinal Diseases |
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