Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma
Preoperative prediction of lymph node (LN) metastasis is accepted as a crucial independent risk factor for treatment decision-making for esophageal squamous cell carcinoma (ESCC) patients. Our study aimed to establish a non-invasive nomogram to identify LN metastasis preoperatively in ESCC patients....
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2020.573501/full |
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| author | Tong Liu Lu-Tao Du Lu-Tao Du Lu-Tao Du Yun-Shan Wang Yun-Shan Wang Yun-Shan Wang Shan-Yu Gao Juan Li Juan Li Juan Li Pei-Long Li Pei-Long Li Pei-Long Li Zhao-Wei Sun Helen Binang Chuan-Xin Wang Chuan-Xin Wang Chuan-Xin Wang |
| author_facet | Tong Liu Lu-Tao Du Lu-Tao Du Lu-Tao Du Yun-Shan Wang Yun-Shan Wang Yun-Shan Wang Shan-Yu Gao Juan Li Juan Li Juan Li Pei-Long Li Pei-Long Li Pei-Long Li Zhao-Wei Sun Helen Binang Chuan-Xin Wang Chuan-Xin Wang Chuan-Xin Wang |
| author_sort | Tong Liu |
| collection | DOAJ |
| description | Preoperative prediction of lymph node (LN) metastasis is accepted as a crucial independent risk factor for treatment decision-making for esophageal squamous cell carcinoma (ESCC) patients. Our study aimed to establish a non-invasive nomogram to identify LN metastasis preoperatively in ESCC patients. Construction of the nomogram involved three sequential phases with independent patient cohorts. In the discovery phase (N = 20), LN metastasis-associated microRNAs (miRNAs) were selected from next-generation sequencing (NGS) assay of human ESCC serum exosome samples. In the training phase (N = 178), a nomogram that incorporated exosomal miRNA model and clinicopathologic was developed by multivariate logistic regression analysis to preoperatively predict LN status. In the validation phase (n = 188), we validated the predicted nomogram's calibration, discrimination, and clinical usefulness. Four differently expressed miRNAs (chr 8-23234-3p, chr 1-17695-5p, chr 8-2743-5p, and miR-432-5p) were tested and selected in the serum exosome samples from ESCC patients who have or do not have LN metastasis. Subsequently, an optimized four-exosomal miRNA model was constructed and validated in the clinical samples, which could effectively identify ESCC patients with LN metastasis, and was significantly superior to preoperative computed tomography (CT) report. In addition, a clinical nomogram consisting of the four-exosomal miRNA model and CT report was established in training cohort, which showed high predictive value in both training and validation cohorts [area under the receiver operating characteristic curve (AUC): 0.880 and 0.869, respectively]. The Hosmer–Lemeshow test and decision curve analysis implied the nomogram's clinical applicability. Our novel non-invasive nomogram is a robust prediction tool with promising clinical potential for preoperative LN metastasis prediction of ESCC patients, especially in T1 stage. |
| first_indexed | 2024-12-10T12:56:15Z |
| format | Article |
| id | doaj.art-12e92a5774ce478ba27096ed0409218e |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-10T12:56:15Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-12e92a5774ce478ba27096ed0409218e2022-12-22T01:48:05ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-10-011010.3389/fonc.2020.573501573501Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell CarcinomaTong Liu0Lu-Tao Du1Lu-Tao Du2Lu-Tao Du3Yun-Shan Wang4Yun-Shan Wang5Yun-Shan Wang6Shan-Yu Gao7Juan Li8Juan Li9Juan Li10Pei-Long Li11Pei-Long Li12Pei-Long Li13Zhao-Wei Sun14Helen Binang15Chuan-Xin Wang16Chuan-Xin Wang17Chuan-Xin Wang18Department of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaShandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, ChinaShandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaShandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, ChinaShandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, ChinaDepartment of Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaShandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, ChinaShandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaShandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, ChinaShandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, ChinaDepartment of Surgery, The Affiliated Hospital of Medical College Qingdao University, Qingdao, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaDepartment of Clinical Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaShandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, ChinaShandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, ChinaPreoperative prediction of lymph node (LN) metastasis is accepted as a crucial independent risk factor for treatment decision-making for esophageal squamous cell carcinoma (ESCC) patients. Our study aimed to establish a non-invasive nomogram to identify LN metastasis preoperatively in ESCC patients. Construction of the nomogram involved three sequential phases with independent patient cohorts. In the discovery phase (N = 20), LN metastasis-associated microRNAs (miRNAs) were selected from next-generation sequencing (NGS) assay of human ESCC serum exosome samples. In the training phase (N = 178), a nomogram that incorporated exosomal miRNA model and clinicopathologic was developed by multivariate logistic regression analysis to preoperatively predict LN status. In the validation phase (n = 188), we validated the predicted nomogram's calibration, discrimination, and clinical usefulness. Four differently expressed miRNAs (chr 8-23234-3p, chr 1-17695-5p, chr 8-2743-5p, and miR-432-5p) were tested and selected in the serum exosome samples from ESCC patients who have or do not have LN metastasis. Subsequently, an optimized four-exosomal miRNA model was constructed and validated in the clinical samples, which could effectively identify ESCC patients with LN metastasis, and was significantly superior to preoperative computed tomography (CT) report. In addition, a clinical nomogram consisting of the four-exosomal miRNA model and CT report was established in training cohort, which showed high predictive value in both training and validation cohorts [area under the receiver operating characteristic curve (AUC): 0.880 and 0.869, respectively]. The Hosmer–Lemeshow test and decision curve analysis implied the nomogram's clinical applicability. Our novel non-invasive nomogram is a robust prediction tool with promising clinical potential for preoperative LN metastasis prediction of ESCC patients, especially in T1 stage.https://www.frontiersin.org/article/10.3389/fonc.2020.573501/fulllymph node metastasisexosomal biomarkermicroRNAesophageal squamous cell carcinomanomogram |
| spellingShingle | Tong Liu Lu-Tao Du Lu-Tao Du Lu-Tao Du Yun-Shan Wang Yun-Shan Wang Yun-Shan Wang Shan-Yu Gao Juan Li Juan Li Juan Li Pei-Long Li Pei-Long Li Pei-Long Li Zhao-Wei Sun Helen Binang Chuan-Xin Wang Chuan-Xin Wang Chuan-Xin Wang Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma Frontiers in Oncology lymph node metastasis exosomal biomarker microRNA esophageal squamous cell carcinoma nomogram |
| title | Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma |
| title_full | Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma |
| title_fullStr | Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma |
| title_full_unstemmed | Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma |
| title_short | Development of a Novel Serum Exosomal MicroRNA Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma |
| title_sort | development of a novel serum exosomal microrna nomogram for the preoperative prediction of lymph node metastasis in esophageal squamous cell carcinoma |
| topic | lymph node metastasis exosomal biomarker microRNA esophageal squamous cell carcinoma nomogram |
| url | https://www.frontiersin.org/article/10.3389/fonc.2020.573501/full |
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