Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms
Abstract Objective This study aimed to identify prognostic genes associated with immunosenescence in gastric carcinoma (GC) and to elucidate their mechanisms to provide new ideas for the clinical treatment of GC. Methods According to single cell data, clustering and annotation were conducted to acqu...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02477-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850225897573974016 |
|---|---|
| author | Jing Liu Huiyu Wang Fang Huang Zhiqiang Hang Pan Xu Runjie Wang Junying Xu |
| author_facet | Jing Liu Huiyu Wang Fang Huang Zhiqiang Hang Pan Xu Runjie Wang Junying Xu |
| author_sort | Jing Liu |
| collection | DOAJ |
| description | Abstract Objective This study aimed to identify prognostic genes associated with immunosenescence in gastric carcinoma (GC) and to elucidate their mechanisms to provide new ideas for the clinical treatment of GC. Methods According to single cell data, clustering and annotation were conducted to acquire key cells. Then, differentially expressed genes (DEGs) in key cells (KC-DEGs) and TCGA-GC (GC-DEGs) were obtained, and took their intersection with CS-RGs to obtain candidate genes. Afterwards, prognostic genes were identified by regression analyses. Following this, the risk model was constructed, and the high-risk and low-risk groups were obtained. Next, a nomogram based on independent prognostic factors was constructed for predicting survival in GC. Finally, to further explore the mechanisms associated with the risk groups, immune microenvironment analysis was performed. Results T cells were used as key cells. Subsequently, AXL, PIM1, STK40, CXCL1, IFNG and SERPINE1 were identified as prognostic genes. The risk model and nomogram had favourable predictive capability in survival of GC patients. Surprisingly, 17 differential immune cells had higher levels of infiltration in the high-risk group, a result that was further confirmed in tumor purity. Notably, there was mostly a positive correlation between them and prognostic genes. Then, both tumor mutation burden (TMB) and microsatellite instability (MSI) were lower in the high-risk group, suggested the high-risk group might be associated with lower treatment benefit. Conclusion 6 prognostic genes were identified, providing novel concepts in prognosis and therapy for GC. |
| format | Article |
| id | doaj-art-5abc40a0c40942ecaf5965ccd7d44ba1 |
| institution | OA Journals |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-5abc40a0c40942ecaf5965ccd7d44ba12025-08-20T02:05:13ZengSpringerDiscover Oncology2730-60112025-06-0116111710.1007/s12672-025-02477-4Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanismsJing Liu0Huiyu Wang1Fang Huang2Zhiqiang Hang3Pan Xu4Runjie Wang5Junying Xu6 Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical UniversityAbstract Objective This study aimed to identify prognostic genes associated with immunosenescence in gastric carcinoma (GC) and to elucidate their mechanisms to provide new ideas for the clinical treatment of GC. Methods According to single cell data, clustering and annotation were conducted to acquire key cells. Then, differentially expressed genes (DEGs) in key cells (KC-DEGs) and TCGA-GC (GC-DEGs) were obtained, and took their intersection with CS-RGs to obtain candidate genes. Afterwards, prognostic genes were identified by regression analyses. Following this, the risk model was constructed, and the high-risk and low-risk groups were obtained. Next, a nomogram based on independent prognostic factors was constructed for predicting survival in GC. Finally, to further explore the mechanisms associated with the risk groups, immune microenvironment analysis was performed. Results T cells were used as key cells. Subsequently, AXL, PIM1, STK40, CXCL1, IFNG and SERPINE1 were identified as prognostic genes. The risk model and nomogram had favourable predictive capability in survival of GC patients. Surprisingly, 17 differential immune cells had higher levels of infiltration in the high-risk group, a result that was further confirmed in tumor purity. Notably, there was mostly a positive correlation between them and prognostic genes. Then, both tumor mutation burden (TMB) and microsatellite instability (MSI) were lower in the high-risk group, suggested the high-risk group might be associated with lower treatment benefit. Conclusion 6 prognostic genes were identified, providing novel concepts in prognosis and therapy for GC.https://doi.org/10.1007/s12672-025-02477-4Gastric carcinomaImmunosenescencePrognostic genesRisk modelSingle cell RNA sequencing data analysis |
| spellingShingle | Jing Liu Huiyu Wang Fang Huang Zhiqiang Hang Pan Xu Runjie Wang Junying Xu Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms Discover Oncology Gastric carcinoma Immunosenescence Prognostic genes Risk model Single cell RNA sequencing data analysis |
| title | Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| title_full | Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| title_fullStr | Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| title_full_unstemmed | Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| title_short | Identification and validation of T cell senescence-related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| title_sort | identification and validation of t cell senescence related prognostic genes in gastric carcinoma and investigation of their potential regulatory mechanisms |
| topic | Gastric carcinoma Immunosenescence Prognostic genes Risk model Single cell RNA sequencing data analysis |
| url | https://doi.org/10.1007/s12672-025-02477-4 |
| work_keys_str_mv | AT jingliu identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT huiyuwang identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT fanghuang identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT zhiqianghang identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT panxu identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT runjiewang identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms AT junyingxu identificationandvalidationoftcellsenescencerelatedprognosticgenesingastriccarcinomaandinvestigationoftheirpotentialregulatorymechanisms |