Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy
The development of immune checkpoint inhibitors (ICIs) has significantly advanced cancer treatment. However, their efficacy is not consistent across all patients, underscoring the need for personalized approaches. In this study, we examined the relationship between activated CD4+ memory T cell expre...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024031827 |
| _version_ | 1797259807859671040 |
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| author | Wenhao Ouyang Qing Peng Zijia Lai Hong Huang Zhenjun Huang Xinxin Xie Ruichong Lin Zehua Wang Herui Yao Yunfang Yu |
| author_facet | Wenhao Ouyang Qing Peng Zijia Lai Hong Huang Zhenjun Huang Xinxin Xie Ruichong Lin Zehua Wang Herui Yao Yunfang Yu |
| author_sort | Wenhao Ouyang |
| collection | DOAJ |
| description | The development of immune checkpoint inhibitors (ICIs) has significantly advanced cancer treatment. However, their efficacy is not consistent across all patients, underscoring the need for personalized approaches. In this study, we examined the relationship between activated CD4+ memory T cell expression and ICI responsiveness. A notable correlation was observed between increased activated CD4+ memory T cell expression and better patient survival in various cohorts. Additionally, the chemokine CXCL13 was identified as a potential prognostic biomarker, with higher expression levels associated with improved outcomes. Further analysis highlighted CXCL13's role in influencing the Tumor Microenvironment, emphasizing its relevance in tumor immunity. Using these findings, we developed a deep learning model by the Multi-Layer Aggregation Graph Neural Network method. This model exhibited promise in predicting ICI treatment efficacy, suggesting its potential application in clinical practice. |
| first_indexed | 2024-04-24T23:15:18Z |
| format | Article |
| id | doaj.art-b71bc1447dba4255ae3a8c24d822eb02 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T23:15:18Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-b71bc1447dba4255ae3a8c24d822eb022024-03-17T07:57:30ZengElsevierHeliyon2405-84402024-03-01105e27151Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacyWenhao Ouyang0Qing Peng1Zijia Lai2Hong Huang3Zhenjun Huang4Xinxin Xie5Ruichong Lin6Zehua Wang7Herui Yao8Yunfang Yu9Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaClinical Medicine College, Guangdong Medical University, Zhanjiang, ChinaClinical Medicine College, Guilin Medical University, Guilin, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao, ChinaFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao, ChinaGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Corresponding author. Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Phase I Clinical Trial Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou 510120, China.Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medicine Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China; Corresponding author. Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang West Road, Guangzhou 510120, China.The development of immune checkpoint inhibitors (ICIs) has significantly advanced cancer treatment. However, their efficacy is not consistent across all patients, underscoring the need for personalized approaches. In this study, we examined the relationship between activated CD4+ memory T cell expression and ICI responsiveness. A notable correlation was observed between increased activated CD4+ memory T cell expression and better patient survival in various cohorts. Additionally, the chemokine CXCL13 was identified as a potential prognostic biomarker, with higher expression levels associated with improved outcomes. Further analysis highlighted CXCL13's role in influencing the Tumor Microenvironment, emphasizing its relevance in tumor immunity. Using these findings, we developed a deep learning model by the Multi-Layer Aggregation Graph Neural Network method. This model exhibited promise in predicting ICI treatment efficacy, suggesting its potential application in clinical practice.http://www.sciencedirect.com/science/article/pii/S2405844024031827Activated CD4+ memory T cellsImmunotherapyCXCL13Deep learning model |
| spellingShingle | Wenhao Ouyang Qing Peng Zijia Lai Hong Huang Zhenjun Huang Xinxin Xie Ruichong Lin Zehua Wang Herui Yao Yunfang Yu Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy Heliyon Activated CD4+ memory T cells Immunotherapy CXCL13 Deep learning model |
| title | Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy |
| title_full | Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy |
| title_fullStr | Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy |
| title_full_unstemmed | Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy |
| title_short | Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy |
| title_sort | synergistic role of activated cd4 memory t cells and cxcl13 in augmenting cancer immunotherapy efficacy |
| topic | Activated CD4+ memory T cells Immunotherapy CXCL13 Deep learning model |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024031827 |
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