The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma
Background. Cutaneous melanoma is defined as one of the most aggressive skin tumors in the world. An increasing body of evidence suggested an indispensable association between immune-associated gene (IAG) signature and melanoma. This article is aimed at formulating an IAG signature to estimate progn...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2021/6686284 |
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| author | Le-Bin Song Jiao-Chen Luan Qi-Jie Zhang Lin Chen Hao-Yang Wang Xue-Chen Cao Ning-Hong Song Yan Lu |
| author_facet | Le-Bin Song Jiao-Chen Luan Qi-Jie Zhang Lin Chen Hao-Yang Wang Xue-Chen Cao Ning-Hong Song Yan Lu |
| author_sort | Le-Bin Song |
| collection | DOAJ |
| description | Background. Cutaneous melanoma is defined as one of the most aggressive skin tumors in the world. An increasing body of evidence suggested an indispensable association between immune-associated gene (IAG) signature and melanoma. This article is aimed at formulating an IAG signature to estimate prognosis of melanoma. Methods. 434 melanoma patients were extracted from The Cancer Genome Atlas (TCGA) database, and 1811 IAGs were downloaded from the ImmPort database in our retrospective study. The Cox regression analysis and LASSO regression analysis were utilized to establish a prognostic IAG signature. The Kaplan-Meier (KM) survival analysis was performed, and the time-dependent receiver operating characteristic curve (ROC) analysis was further applied to assess the predictive value. Besides, the propensity score algorithm was utilized to balance the confounding clinical factors between the high- and low-risk groups. Results. A total of six prognostic IAGs comprising of INHA, NDRG1, IFITM1, LHB, GBP2, and CCL8 were eventually filtered out. According to the KM survival analysis, the results displayed a shorter overall survival (OS) in the high-risk group compared to the low-risk group. In the multivariate Cox model, the gene signature was testified as a remarkable prognostic factor (HR=45.423, P<0.001). Additionally, the ROC curve analyses were performed which demonstrated our IAG signature was superior to four known biomarkers mentioned in the study. Moreover, the IAG signature was significantly related to immunotherapy-related biomarkers. Conclusion. Our study demonstrated that the six IAG signature played a critical role in the prognosis and immunotherapy of melanoma, which might help clinicians predict patients’ survival and provide individualized treatment. |
| format | Article |
| id | doaj-art-787abfa76a46478695d96300444d2010 |
| institution | Kabale University |
| issn | 2314-8861 2314-7156 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-787abfa76a46478695d96300444d20102025-02-03T01:28:29ZengWileyJournal of Immunology Research2314-88612314-71562021-01-01202110.1155/2021/66862846686284The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous MelanomaLe-Bin Song0Jiao-Chen Luan1Qi-Jie Zhang2Lin Chen3Hao-Yang Wang4Xue-Chen Cao5Ning-Hong Song6Yan Lu7Department of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Dermatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaBackground. Cutaneous melanoma is defined as one of the most aggressive skin tumors in the world. An increasing body of evidence suggested an indispensable association between immune-associated gene (IAG) signature and melanoma. This article is aimed at formulating an IAG signature to estimate prognosis of melanoma. Methods. 434 melanoma patients were extracted from The Cancer Genome Atlas (TCGA) database, and 1811 IAGs were downloaded from the ImmPort database in our retrospective study. The Cox regression analysis and LASSO regression analysis were utilized to establish a prognostic IAG signature. The Kaplan-Meier (KM) survival analysis was performed, and the time-dependent receiver operating characteristic curve (ROC) analysis was further applied to assess the predictive value. Besides, the propensity score algorithm was utilized to balance the confounding clinical factors between the high- and low-risk groups. Results. A total of six prognostic IAGs comprising of INHA, NDRG1, IFITM1, LHB, GBP2, and CCL8 were eventually filtered out. According to the KM survival analysis, the results displayed a shorter overall survival (OS) in the high-risk group compared to the low-risk group. In the multivariate Cox model, the gene signature was testified as a remarkable prognostic factor (HR=45.423, P<0.001). Additionally, the ROC curve analyses were performed which demonstrated our IAG signature was superior to four known biomarkers mentioned in the study. Moreover, the IAG signature was significantly related to immunotherapy-related biomarkers. Conclusion. Our study demonstrated that the six IAG signature played a critical role in the prognosis and immunotherapy of melanoma, which might help clinicians predict patients’ survival and provide individualized treatment.http://dx.doi.org/10.1155/2021/6686284 |
| spellingShingle | Le-Bin Song Jiao-Chen Luan Qi-Jie Zhang Lin Chen Hao-Yang Wang Xue-Chen Cao Ning-Hong Song Yan Lu The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma Journal of Immunology Research |
| title | The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma |
| title_full | The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma |
| title_fullStr | The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma |
| title_full_unstemmed | The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma |
| title_short | The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma |
| title_sort | identification and validation of a robust immune associated gene signature in cutaneous melanoma |
| url | http://dx.doi.org/10.1155/2021/6686284 |
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