Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation
Purpose: Numerous studies have emphasised the importance of necroptosis in the malignant progression of colorectal cancer (CRC). However, whether necroptosis-related genes (NRGs) can be used to predict the prognosis of CRC remains to be revealed. Methods: Patients with CRC were divided into two clus...
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| Format: | Article |
| Language: | English |
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IMR Press
2024-03-01
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| Series: | Frontiers in Bioscience-Landmark |
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| Online Access: | https://www.imrpress.com/journal/FBL/29/3/10.31083/j.fbl2903098 |
| _version_ | 1797238621828284416 |
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| author | Yuying Huang Licheng Li Zhongmin Kang Huali Luo Xiaojing Lin Shu Zhao Qizhu Zhang Qinshan Li Honglin Liu Mengxing Li |
| author_facet | Yuying Huang Licheng Li Zhongmin Kang Huali Luo Xiaojing Lin Shu Zhao Qizhu Zhang Qinshan Li Honglin Liu Mengxing Li |
| author_sort | Yuying Huang |
| collection | DOAJ |
| description | Purpose: Numerous studies have emphasised the importance of necroptosis in the malignant progression of colorectal cancer (CRC). However, whether necroptosis-related genes (NRGs) can be used to predict the prognosis of CRC remains to be revealed. Methods: Patients with CRC were divided into two clusters based on the expression of NRGs, and prognosis was compared between the two clusters. A prognostic model was established based on NRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves and a nomogram. Immune infiltration, single-cell and drug sensitivity analyses were used to examine the effects of NRGs on the prognosis of CRC. Results: The prognostic model served as a valid and independent predictor of CRC prognosis. Immune infiltration and single-cell analyses revealed that the unique immune microenvironment of CRC was regulated by NRGs. Drug sensitivity analysis showed that patients in the high- and low-risk groups were sensitive to different drugs. In addition, H2BC18 was found to play an important role in regulating the malignant progression of CRC. Conclusion: This study provides novel insights into precision immunotherapy based on NRGs in CRC. The NRG-based prognostic model may help to identify targeted drugs and develop more effective and individualised treatment strategies for patients with CRC. |
| first_indexed | 2024-04-24T17:38:34Z |
| format | Article |
| id | doaj.art-76548346ce4342dfb416729326355f3f |
| institution | Directory Open Access Journal |
| issn | 2768-6701 |
| language | English |
| last_indexed | 2024-04-24T17:38:34Z |
| publishDate | 2024-03-01 |
| publisher | IMR Press |
| record_format | Article |
| series | Frontiers in Bioscience-Landmark |
| spelling | doaj.art-76548346ce4342dfb416729326355f3f2024-03-28T02:27:54ZengIMR PressFrontiers in Bioscience-Landmark2768-67012024-03-012939810.31083/j.fbl2903098S2768-6701(23)01183-8Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental ValidationYuying Huang0Licheng Li1Zhongmin Kang2Huali Luo3Xiaojing Lin4Shu Zhao5Qizhu Zhang6Qinshan Li7Honglin Liu8Mengxing Li9Institute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaClinical Medical College, Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaClinical Medical College, Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaDepartment of Clinical Biochemistry, School of Medical Laboratory Science, Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaInstitute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaInstitute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaInstitute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaInstitute of Precision Medicine of Guizhou Province, Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, 100000 Beijing, ChinaClinical Medical College, Guizhou Medical University, 550004 Guiyang, Guizhou, ChinaPurpose: Numerous studies have emphasised the importance of necroptosis in the malignant progression of colorectal cancer (CRC). However, whether necroptosis-related genes (NRGs) can be used to predict the prognosis of CRC remains to be revealed. Methods: Patients with CRC were divided into two clusters based on the expression of NRGs, and prognosis was compared between the two clusters. A prognostic model was established based on NRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves and a nomogram. Immune infiltration, single-cell and drug sensitivity analyses were used to examine the effects of NRGs on the prognosis of CRC. Results: The prognostic model served as a valid and independent predictor of CRC prognosis. Immune infiltration and single-cell analyses revealed that the unique immune microenvironment of CRC was regulated by NRGs. Drug sensitivity analysis showed that patients in the high- and low-risk groups were sensitive to different drugs. In addition, H2BC18 was found to play an important role in regulating the malignant progression of CRC. Conclusion: This study provides novel insights into precision immunotherapy based on NRGs in CRC. The NRG-based prognostic model may help to identify targeted drugs and develop more effective and individualised treatment strategies for patients with CRC.https://www.imrpress.com/journal/FBL/29/3/10.31083/j.fbl2903098necroptosiscolorectal cancerprognostic modeltcgaimmune infiltration |
| spellingShingle | Yuying Huang Licheng Li Zhongmin Kang Huali Luo Xiaojing Lin Shu Zhao Qizhu Zhang Qinshan Li Honglin Liu Mengxing Li Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation Frontiers in Bioscience-Landmark necroptosis colorectal cancer prognostic model tcga immune infiltration |
| title | Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation |
| title_full | Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation |
| title_fullStr | Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation |
| title_full_unstemmed | Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation |
| title_short | Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation |
| title_sort | prognostic model associated with necroptosis in colorectal cancer based on transcriptomic analysis and experimental validation |
| topic | necroptosis colorectal cancer prognostic model tcga immune infiltration |
| url | https://www.imrpress.com/journal/FBL/29/3/10.31083/j.fbl2903098 |
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