A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma
Abstract Background Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. The T cell receptor (TCR) and B cell receptor (BCR) are the receptors on the surface of T or B cell, which are crucial for recognizing tumor antigens. It is profound to establish a pract...
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| Format: | Article |
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Springer
2025-01-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-01856-1 |
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| author | Xuan Zuo Hui Li Shi Xie Mengfen Shi Yujuan Guan Huiyuan Liu Rong Yan Anqi Zheng Xueying Li Jiabang Liu Yifan Gan Haiyan Shi Keng Chen Shijie Jia Guanmei Chen Min Liao Zhanhui Wang Yanyan Han Baolin Liao |
| author_facet | Xuan Zuo Hui Li Shi Xie Mengfen Shi Yujuan Guan Huiyuan Liu Rong Yan Anqi Zheng Xueying Li Jiabang Liu Yifan Gan Haiyan Shi Keng Chen Shijie Jia Guanmei Chen Min Liao Zhanhui Wang Yanyan Han Baolin Liao |
| author_sort | Xuan Zuo |
| collection | DOAJ |
| description | Abstract Background Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. The T cell receptor (TCR) and B cell receptor (BCR) are the receptors on the surface of T or B cell, which are crucial for recognizing tumor antigens. It is profound to establish a practical TCR/BCR-related gene signature prognostic model for the further diagnosis and treatment among HCC patients. Methods In this study, we categorized gene expression data of HCC patients from The Cancer Genome Altas and identified TCR related genes by the Least Absolute Shrinkage and Selection Operator and multivariate Cox regression analysis. Both the CIBERSORT algorithm and the TB tools were used to analyze the features and heterogeneity of the tumor microenvironment. Results Finally, an 8-gene prognostic model was successfully established and achieved the validation in both the International Cancer Genome Consortium and Nanfang Hospital cohorts. Patients were divided into high-risk and low-risk groups based on the median of the risk scores. We observed that tumor differentiation was worse while the fibrinogen concentration was higher in the high-risk group of patients. Both the number of unique TCR and BCR clonotypes and the expanded clones were higher in the low-risk group than in the high-risk group. Conclusions Together, our study screened a TCR/BCR-related signature prognostic model, which might turn into a beneficial and practical tool to solve the perplexities of the treatment, prognosis prediction and management for HCC patients. |
| format | Article |
| id | doaj-art-78625883b4874cedb7ae5f3c2d6a6c6a |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-78625883b4874cedb7ae5f3c2d6a6c6a2025-02-02T12:30:39ZengSpringerDiscover Oncology2730-60112025-01-0116111210.1007/s12672-025-01856-1A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinomaXuan Zuo0Hui Li1Shi Xie2Mengfen Shi3Yujuan Guan4Huiyuan Liu5Rong Yan6Anqi Zheng7Xueying Li8Jiabang Liu9Yifan Gan10Haiyan Shi11Keng Chen12Shijie Jia13Guanmei Chen14Min Liao15Zhanhui Wang16Yanyan Han17Baolin Liao18Department of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityHRYZ Biotech Co.Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityDepartment of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityGuangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical UniversityHRYZ Biotech Co.Department of Hepatology, Guangzhou Institute of Clinical Medicine of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical UniversityAbstract Background Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related death worldwide. The T cell receptor (TCR) and B cell receptor (BCR) are the receptors on the surface of T or B cell, which are crucial for recognizing tumor antigens. It is profound to establish a practical TCR/BCR-related gene signature prognostic model for the further diagnosis and treatment among HCC patients. Methods In this study, we categorized gene expression data of HCC patients from The Cancer Genome Altas and identified TCR related genes by the Least Absolute Shrinkage and Selection Operator and multivariate Cox regression analysis. Both the CIBERSORT algorithm and the TB tools were used to analyze the features and heterogeneity of the tumor microenvironment. Results Finally, an 8-gene prognostic model was successfully established and achieved the validation in both the International Cancer Genome Consortium and Nanfang Hospital cohorts. Patients were divided into high-risk and low-risk groups based on the median of the risk scores. We observed that tumor differentiation was worse while the fibrinogen concentration was higher in the high-risk group of patients. Both the number of unique TCR and BCR clonotypes and the expanded clones were higher in the low-risk group than in the high-risk group. Conclusions Together, our study screened a TCR/BCR-related signature prognostic model, which might turn into a beneficial and practical tool to solve the perplexities of the treatment, prognosis prediction and management for HCC patients.https://doi.org/10.1007/s12672-025-01856-1Hepatocellular carcinomaPrognostic modelTumor microenvironmentT cell receptorB cell receptor |
| spellingShingle | Xuan Zuo Hui Li Shi Xie Mengfen Shi Yujuan Guan Huiyuan Liu Rong Yan Anqi Zheng Xueying Li Jiabang Liu Yifan Gan Haiyan Shi Keng Chen Shijie Jia Guanmei Chen Min Liao Zhanhui Wang Yanyan Han Baolin Liao A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma Discover Oncology Hepatocellular carcinoma Prognostic model Tumor microenvironment T cell receptor B cell receptor |
| title | A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma |
| title_full | A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma |
| title_fullStr | A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma |
| title_full_unstemmed | A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma |
| title_short | A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma |
| title_sort | prognostic model of 8 t b cell receptor related signatures for hepatocellular carcinoma |
| topic | Hepatocellular carcinoma Prognostic model Tumor microenvironment T cell receptor B cell receptor |
| url | https://doi.org/10.1007/s12672-025-01856-1 |
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