Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers
For resectable cancer patients, a method that could precisely predict the risk of postoperative recurrence would be crucial for guiding adjuvant treatment. Since T cell receptor (TCR) repertoires had been shown to be closely related to the dynamics of cancers, here we enrolled a cohort of patients t...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-09-01
|
| Series: | Molecular Therapy: Methods & Clinical Development |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2329050120301078 |
| _version_ | 1831737848143806464 |
|---|---|
| author | Zhengbo Song Xiangbin Chen Yi Shi Rongfang Huang Wenxian Wang Kunshou Zhu Shaofeng Lin Minxian Wang Geng Tian Jialiang Yang Gang Chen |
| author_facet | Zhengbo Song Xiangbin Chen Yi Shi Rongfang Huang Wenxian Wang Kunshou Zhu Shaofeng Lin Minxian Wang Geng Tian Jialiang Yang Gang Chen |
| author_sort | Zhengbo Song |
| collection | DOAJ |
| description | For resectable cancer patients, a method that could precisely predict the risk of postoperative recurrence would be crucial for guiding adjuvant treatment. Since T cell receptor (TCR) repertoires had been shown to be closely related to the dynamics of cancers, here we enrolled a cohort of patients to evaluate the potential of TCR repertoires in predicting the prognosis of resectable non-small cell lung cancers. Specifically, TCRβ repertoires were analyzed in surgical tumor tissues and matched adjacent non-tumor tissues from 39 patients enrolled with resectable non-small cell lung cancer, through target enrichment and high-throughput sequencing. As a result, there are significant differences between the TCR repertories of tumor samples and those of matched adjacent non-tumor samples as evaluated by criteria like the number of clonotypes. In addition, TCR repertoires were significantly associated with a few clinical features, as well as somatic mutations. Finally, certain TCRβ variable-joining (V-J) pairings were featured to build a logistic regression model in predicting postoperative recurrence of resectable non-small cell lung cancers with a testing area under the receiver operating characteristic curve (AUC) of around 0.9. Thus, we hypothesize that TCR repertoires could be potentially used to predict prognosis after curative surgery for non-small cell lung cancer patients. |
| first_indexed | 2024-12-21T13:11:12Z |
| format | Article |
| id | doaj.art-96b944fe7ed642d6a8eea0110ce0fab4 |
| institution | Directory Open Access Journal |
| issn | 2329-0501 |
| language | English |
| last_indexed | 2024-12-21T13:11:12Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Molecular Therapy: Methods & Clinical Development |
| spelling | doaj.art-96b944fe7ed642d6a8eea0110ce0fab42022-12-21T19:02:52ZengElsevierMolecular Therapy: Methods & Clinical Development2329-05012020-09-01187383Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung CancersZhengbo Song0Xiangbin Chen1Yi Shi2Rongfang Huang3Wenxian Wang4Kunshou Zhu5Shaofeng Lin6Minxian Wang7Geng Tian8Jialiang Yang9Gang Chen10Department of Medical Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022, ChinaGeneis Beijing, Beijing 100102, ChinaDepartment of Molecular Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou 350014, ChinaDepartment of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou 350014, ChinaDepartment of Medical Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022, ChinaDepartment of Thoracic Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350014, ChinaDepartment of Thoracic Surgery, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350014, ChinaProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02139, USAGeneis Beijing, Beijing 100102, ChinaGeneis Beijing, Beijing 100102, China; Corresponding author: Jialiang Yang, Geneis Beijing Co., Ltd., Beijing 100102, China.Department of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou 350014, China; Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China; Corresponding author: Gang Chen, Department of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou 350014, China.For resectable cancer patients, a method that could precisely predict the risk of postoperative recurrence would be crucial for guiding adjuvant treatment. Since T cell receptor (TCR) repertoires had been shown to be closely related to the dynamics of cancers, here we enrolled a cohort of patients to evaluate the potential of TCR repertoires in predicting the prognosis of resectable non-small cell lung cancers. Specifically, TCRβ repertoires were analyzed in surgical tumor tissues and matched adjacent non-tumor tissues from 39 patients enrolled with resectable non-small cell lung cancer, through target enrichment and high-throughput sequencing. As a result, there are significant differences between the TCR repertories of tumor samples and those of matched adjacent non-tumor samples as evaluated by criteria like the number of clonotypes. In addition, TCR repertoires were significantly associated with a few clinical features, as well as somatic mutations. Finally, certain TCRβ variable-joining (V-J) pairings were featured to build a logistic regression model in predicting postoperative recurrence of resectable non-small cell lung cancers with a testing area under the receiver operating characteristic curve (AUC) of around 0.9. Thus, we hypothesize that TCR repertoires could be potentially used to predict prognosis after curative surgery for non-small cell lung cancer patients.http://www.sciencedirect.com/science/article/pii/S2329050120301078resectable lung cancerT cell receptor repertoiresprognosisrecurrencebioinformatics |
| spellingShingle | Zhengbo Song Xiangbin Chen Yi Shi Rongfang Huang Wenxian Wang Kunshou Zhu Shaofeng Lin Minxian Wang Geng Tian Jialiang Yang Gang Chen Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers Molecular Therapy: Methods & Clinical Development resectable lung cancer T cell receptor repertoires prognosis recurrence bioinformatics |
| title | Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers |
| title_full | Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers |
| title_fullStr | Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers |
| title_full_unstemmed | Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers |
| title_short | Evaluating the Potential of T Cell Receptor Repertoires in Predicting the Prognosis of Resectable Non-Small Cell Lung Cancers |
| title_sort | evaluating the potential of t cell receptor repertoires in predicting the prognosis of resectable non small cell lung cancers |
| topic | resectable lung cancer T cell receptor repertoires prognosis recurrence bioinformatics |
| url | http://www.sciencedirect.com/science/article/pii/S2329050120301078 |
| work_keys_str_mv | AT zhengbosong evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT xiangbinchen evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT yishi evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT rongfanghuang evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT wenxianwang evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT kunshouzhu evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT shaofenglin evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT minxianwang evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT gengtian evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT jialiangyang evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers AT gangchen evaluatingthepotentialoftcellreceptorrepertoiresinpredictingtheprognosisofresectablenonsmallcelllungcancers |