鉴定与肿瘤免疫相关的新型淋巴管生成预后特征,为肺腺癌治疗提供指导

IF 2.6 4区 医学 Q3 CELL BIOLOGY Analytical Cellular Pathology Pub Date : 2024-02-17 DOI:10.1155/2024/2090450
Juan Peng, Dan Liu, Hong-feng Zhang, Qi-hao Hu, Wen Chen, Juan Zou, Juan Zhang, Hui Li, An-bo Gao, Yu-kun Li
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We constructed a prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), and the overall survival (OS) was significantly different between the high- and low-risk groups (TCGA-training: <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"></path></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 28.184 11.7782\" width=\"28.184pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.289,0)\"></path></g></svg>,</span></span> TCGA-test: <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"></path></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"></path></g></svg>,</span></span> GSE30219: <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 28.184 11.7782\" width=\"28.184pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.289,0)\"><use xlink:href=\"#g113-50\"></use></g></svg>,</span></span> GSE37745: <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 28.184 11.7782\" width=\"28.184pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.289,0)\"><use xlink:href=\"#g113-51\"></use></g></svg>,</span></span> and GSE50081: <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 28.184 11.7782\" width=\"28.184pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,44.289,0)\"><use xlink:href=\"#g113-51\"></use></g></svg>).</span></span> Moreover, the risk score was also associated with the PIK3CA and BRCA1 pathways. In the nomogram, the prognostic prediction of the risk score was better than that of clinicopathologic parameters in OS, including age, sex, stage, T stage, N stage, and M stage. In summary, we constructed and validated a 15-LRG signature, which may help predict the prognosis of LUAD and offer a possible direction for future research on downstream molecular mechanisms.","PeriodicalId":49326,"journal":{"name":"Analytical Cellular Pathology","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of a Novel Prognostic Lymphangiogenesis-Related Signature Associated with Tumor Immunity for Guiding Therapy in Lung Adenocarcinoma\",\"authors\":\"Juan Peng, Dan Liu, Hong-feng Zhang, Qi-hao Hu, Wen Chen, Juan Zou, Juan Zhang, Hui Li, An-bo Gao, Yu-kun Li\",\"doi\":\"10.1155/2024/2090450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lymphangiogenesis, an integral contributor to lymphatic metastasis, is a significant reason for the poor prognosis of cancer patients. Anti-lymphangiogenesis treatment is a promising novel therapeutic direction, especially for tumors resistant to conventional therapies. We confirmed the ectopic expression of lymphangiogenesis-related genes (LRGs) in lung adenocarcinoma (LUAD) cohorts based on the TCGA database. We constructed a prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), and the overall survival (OS) was significantly different between the high- and low-risk groups (TCGA-training: <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"></path></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 28.184 11.7782\\\" width=\\\"28.184pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,44.289,0)\\\"></path></g></svg>,</span></span> TCGA-test: <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"></path></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"></path></g></svg>,</span></span> GSE30219: <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 28.184 11.7782\\\" width=\\\"28.184pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,44.289,0)\\\"><use xlink:href=\\\"#g113-50\\\"></use></g></svg>,</span></span> GSE37745: <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 28.184 11.7782\\\" width=\\\"28.184pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,44.289,0)\\\"><use 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引用次数: 0

摘要

淋巴管生成是导致淋巴转移的一个重要因素,也是癌症患者预后不良的一个重要原因。抗淋巴管生成治疗是一个很有前景的新治疗方向,尤其是对传统疗法耐药的肿瘤。我们基于 TCGA 数据库确认了肺腺癌(LUAD)队列中淋巴管生成相关基因(LRGs)的异位表达。我们用15个LRG预后特征(F2RL1、LOXL2、MKI67、PTPRM、GPI、POSTN、INHA、LDHA、LINC00857、ITGA2、PECAM1、SOD3、GDF15、SIX1和FGD5)构建了一个预测特征,高危组和低危组的总生存期(OS)有显著差异(TCGA-training:GSE30219:、GSE37745:和 GSE50081:)。此外,风险评分还与 PIK3CA 和 BRCA1 通路相关。在提名图中,风险评分对OS的预后预测效果优于年龄、性别、分期、T期、N期和M期等临床病理参数。总之,我们构建并验证了15-LRG特征,它可能有助于预测LUAD的预后,并为未来下游分子机制的研究提供了可能的方向。
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Identification of a Novel Prognostic Lymphangiogenesis-Related Signature Associated with Tumor Immunity for Guiding Therapy in Lung Adenocarcinoma
Lymphangiogenesis, an integral contributor to lymphatic metastasis, is a significant reason for the poor prognosis of cancer patients. Anti-lymphangiogenesis treatment is a promising novel therapeutic direction, especially for tumors resistant to conventional therapies. We confirmed the ectopic expression of lymphangiogenesis-related genes (LRGs) in lung adenocarcinoma (LUAD) cohorts based on the TCGA database. We constructed a prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), and the overall survival (OS) was significantly different between the high- and low-risk groups (TCGA-training: , TCGA-test: , GSE30219: , GSE37745: , and GSE50081: ). Moreover, the risk score was also associated with the PIK3CA and BRCA1 pathways. In the nomogram, the prognostic prediction of the risk score was better than that of clinicopathologic parameters in OS, including age, sex, stage, T stage, N stage, and M stage. In summary, we constructed and validated a 15-LRG signature, which may help predict the prognosis of LUAD and offer a possible direction for future research on downstream molecular mechanisms.
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来源期刊
Analytical Cellular Pathology
Analytical Cellular Pathology ONCOLOGY-CELL BIOLOGY
CiteScore
4.90
自引率
3.10%
发文量
70
审稿时长
16 weeks
期刊介绍: Analytical Cellular Pathology is a peer-reviewed, Open Access journal that provides a forum for scientists, medical practitioners and pathologists working in the area of cellular pathology. The journal publishes original research articles, review articles, and clinical studies related to cytology, carcinogenesis, cell receptors, biomarkers, diagnostic pathology, immunopathology, and hematology.
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