Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments
Abstract Background Diseases are often caused by multiple factors, angiogenesis-related genes (ARGs) have been shown to be associated with cancer, however, their role in colon cancer had not been fully explored. This study investigated potential biomarkers based on ARGs to improve prognosis and trea...
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| Format: | Article |
| Language: | English |
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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/s12672-025-01835-6 |
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| _version_ | 1832571569148264448 |
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| author | Fei Liu Yi Wang Leiming Xia Chen Sun Yun Li Yunhong Xia |
| author_facet | Fei Liu Yi Wang Leiming Xia Chen Sun Yun Li Yunhong Xia |
| author_sort | Fei Liu |
| collection | DOAJ |
| description | Abstract Background Diseases are often caused by multiple factors, angiogenesis-related genes (ARGs) have been shown to be associated with cancer, however, their role in colon cancer had not been fully explored. This study investigated potential biomarkers based on ARGs to improve prognosis and treatment effect in colon cancer. Methods ARGs associated with colon cancer prognosis were identified using Cox regression analysis and LASSO analysis. Furthermore, a prognostic model was constructed in colon cancer based on the 3 ARGs, and its biological function were analyzed. We evaluated the differences in tumor immune microenvironment based on prognostic signature. Finally, cell experiments confirmed the function of genes in colon cancer. Results The prognostic value of ARGs in colon cancer patients has been comprehensively analyzed for the first time and identified 3 ARGs with prognostic values. A prognosis risk model was constructed based on 3 ARGs and its prognostic value was validated on an independent external colon cancer dataset. In colon cancer patients, this prognostic feature was an independent risk factor and was significantly correlated with clinical feature information of colon cancer patients. This feature was also related to the immune microenvironment of colon cancer. Cell experiments showed that high expression of TNF Receptor Superfamily Member 1B (TNFRSF1B) significantly promoted apoptosis and inhibited proliferation of colon cancer cells. Therefore, TNFRSF1B may become an important regulatory factor in the progression of colon cancer by participating in intracellular functional regulation. Conclusions This study constructed a prognostic risk model based on three ARGs and for the first time discovered that TNFRSF1B may become an important regulatory factor in cancer progression by participating in intracellular functional regulation. |
| format | Article |
| id | doaj-art-221fe68716a645b985aed3ee2142ea9d |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-221fe68716a645b985aed3ee2142ea9d2025-02-02T12:30:33ZengSpringerDiscover Oncology2730-60112025-01-0116111310.1007/s12672-025-01835-6Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experimentsFei Liu0Yi Wang1Leiming Xia2Chen Sun3Yun Li4Yunhong Xia5Department of Oncology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Oncology, The Third Affiliated Hospital of Anhui Medical UniversityDepartment of Hematology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Oncology, The First Affiliated Hospital of Anhui Medical UniversitySchool of Biology and Pharmaceutical Engineering, Wuhan Polytechnic UniversityDepartment of Oncology, The First Affiliated Hospital of Anhui Medical UniversityAbstract Background Diseases are often caused by multiple factors, angiogenesis-related genes (ARGs) have been shown to be associated with cancer, however, their role in colon cancer had not been fully explored. This study investigated potential biomarkers based on ARGs to improve prognosis and treatment effect in colon cancer. Methods ARGs associated with colon cancer prognosis were identified using Cox regression analysis and LASSO analysis. Furthermore, a prognostic model was constructed in colon cancer based on the 3 ARGs, and its biological function were analyzed. We evaluated the differences in tumor immune microenvironment based on prognostic signature. Finally, cell experiments confirmed the function of genes in colon cancer. Results The prognostic value of ARGs in colon cancer patients has been comprehensively analyzed for the first time and identified 3 ARGs with prognostic values. A prognosis risk model was constructed based on 3 ARGs and its prognostic value was validated on an independent external colon cancer dataset. In colon cancer patients, this prognostic feature was an independent risk factor and was significantly correlated with clinical feature information of colon cancer patients. This feature was also related to the immune microenvironment of colon cancer. Cell experiments showed that high expression of TNF Receptor Superfamily Member 1B (TNFRSF1B) significantly promoted apoptosis and inhibited proliferation of colon cancer cells. Therefore, TNFRSF1B may become an important regulatory factor in the progression of colon cancer by participating in intracellular functional regulation. Conclusions This study constructed a prognostic risk model based on three ARGs and for the first time discovered that TNFRSF1B may become an important regulatory factor in cancer progression by participating in intracellular functional regulation.https://doi.org/10.1007/s12672-025-01835-6Colon cancerAngiogenesisTNFRSF1BPrognosisImmune |
| spellingShingle | Fei Liu Yi Wang Leiming Xia Chen Sun Yun Li Yunhong Xia Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments Discover Oncology Colon cancer Angiogenesis TNFRSF1B Prognosis Immune |
| title | Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments |
| title_full | Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments |
| title_fullStr | Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments |
| title_full_unstemmed | Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments |
| title_short | Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments |
| title_sort | immunological characterization and prognostic of colon cancer evaluated by angiogenesis related features a computational analysis and in vitro experiments |
| topic | Colon cancer Angiogenesis TNFRSF1B Prognosis Immune |
| url | https://doi.org/10.1007/s12672-025-01835-6 |
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