Identification of Basement Membrane-Related Signatures in Gastric Cancer
Background: The basement membrane (BM) serves as a major barrier to impede tumor cell invasion and extravasation during metastasis. However, the associations between BM-related genes and GC remain unclear. Methods: RNA expression data and corresponding clinical information of STAD samples were downl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/11/1844 |
| _version_ | 1797597706046144512 |
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| author | Jinyun Wang Dingwei Liu Qixuan Wang Yong Xie |
| author_facet | Jinyun Wang Dingwei Liu Qixuan Wang Yong Xie |
| author_sort | Jinyun Wang |
| collection | DOAJ |
| description | Background: The basement membrane (BM) serves as a major barrier to impede tumor cell invasion and extravasation during metastasis. However, the associations between BM-related genes and GC remain unclear. Methods: RNA expression data and corresponding clinical information of STAD samples were downloaded from the TCGA database. We identified BM-related subtypes and constructed a BM-related gene prognostic model using lasso-Cox regression analysis. We also investigated the single-cell properties of prognostic-related genes and the TME characteristic, TMB status, and chemotherapy response in high- and low-risk groups. Finally, we verified our results in the GEPIA database and human tissue specimens. Results: A six-gene lasso <i>Cox</i> regression model (APOD, CAPN6, GPC3, PDK4, SLC7A2, SVEP1) was developed. Activated CD4+ T cells and follicular T cells were shown to infiltrate more widely in the low-risk group. The low-risk group harbored significantly higher TMB and better prognosis, favoring immunotherapy. Conclusions: We constructed a six-gene BM-related prognostic model for predicting GC prognosis, immune cell infiltration, TMB status, and chemotherapy response. This research provides new ideas for developing more effective individualized treatment of GC patients. |
| first_indexed | 2024-03-11T03:09:17Z |
| format | Article |
| id | doaj.art-1d1d7834fc3a49bdb85447c50f4488cb |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T03:09:17Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-1d1d7834fc3a49bdb85447c50f4488cb2023-11-18T07:41:54ZengMDPI AGDiagnostics2075-44182023-05-011311184410.3390/diagnostics13111844Identification of Basement Membrane-Related Signatures in Gastric CancerJinyun Wang0Dingwei Liu1Qixuan Wang2Yong Xie3Department of Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang 330006, ChinaDepartment of Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang 330006, ChinaQueen Mary School, Medical College of Nanchang University, Nanchang 330006, ChinaDepartment of Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang 330006, ChinaBackground: The basement membrane (BM) serves as a major barrier to impede tumor cell invasion and extravasation during metastasis. However, the associations between BM-related genes and GC remain unclear. Methods: RNA expression data and corresponding clinical information of STAD samples were downloaded from the TCGA database. We identified BM-related subtypes and constructed a BM-related gene prognostic model using lasso-Cox regression analysis. We also investigated the single-cell properties of prognostic-related genes and the TME characteristic, TMB status, and chemotherapy response in high- and low-risk groups. Finally, we verified our results in the GEPIA database and human tissue specimens. Results: A six-gene lasso <i>Cox</i> regression model (APOD, CAPN6, GPC3, PDK4, SLC7A2, SVEP1) was developed. Activated CD4+ T cells and follicular T cells were shown to infiltrate more widely in the low-risk group. The low-risk group harbored significantly higher TMB and better prognosis, favoring immunotherapy. Conclusions: We constructed a six-gene BM-related prognostic model for predicting GC prognosis, immune cell infiltration, TMB status, and chemotherapy response. This research provides new ideas for developing more effective individualized treatment of GC patients.https://www.mdpi.com/2075-4418/13/11/1844gastric cancerbasement membrane-related geneprognosticimmunechemotherapy response |
| spellingShingle | Jinyun Wang Dingwei Liu Qixuan Wang Yong Xie Identification of Basement Membrane-Related Signatures in Gastric Cancer Diagnostics gastric cancer basement membrane-related gene prognostic immune chemotherapy response |
| title | Identification of Basement Membrane-Related Signatures in Gastric Cancer |
| title_full | Identification of Basement Membrane-Related Signatures in Gastric Cancer |
| title_fullStr | Identification of Basement Membrane-Related Signatures in Gastric Cancer |
| title_full_unstemmed | Identification of Basement Membrane-Related Signatures in Gastric Cancer |
| title_short | Identification of Basement Membrane-Related Signatures in Gastric Cancer |
| title_sort | identification of basement membrane related signatures in gastric cancer |
| topic | gastric cancer basement membrane-related gene prognostic immune chemotherapy response |
| url | https://www.mdpi.com/2075-4418/13/11/1844 |
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