Development of a preoperative prediction nomogram for lymph node metastasis in colorectal cancer based on a novel serum miRNA signature and CT scans
| Autor: | Yingjie Liu, Yongmei Yang, Guixi Zheng, Chuanxin Wang, Xin Zhang, Wenfei Wang, Ailin Qu, Lutao Du |
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| Rok vydání: | 2018 |
| Předmět: |
Male
0301 basic medicine Oncology Research paper Colorectal cancer Nomogram Metastasis AUC area under the curve 0302 clinical medicine Carcinoembryonic antigen RNA Neoplasm Radiation treatment planning Lymph node ncRNAs non-coding RNAs biology General Medicine Middle Aged DCA decision curve analysis CT computed tomography medicine.anatomical_structure Lymphatic Metastasis 030220 oncology & carcinogenesis CRC colorectal cancer Female Colorectal Neoplasms Cell-Free Nucleic Acids medicine.medical_specialty miRNA-based panel LN metastasis KEGG Kyoto Encyclopedia of Genes and Genomes General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Internal medicine medicine Humans HTS high-throughput sequencing Aged Receiver operating characteristic business.industry Odds ratio medicine.disease ROC receiver operating characteristic CI confidence interval OR odds ratio MicroRNAs Nomograms RT-qPCR reverse transcription quantitative real-time PCR 030104 developmental biology biology.protein LN lymph node CEA carcinoembryonic antigen Tomography X-Ray Computed Prediction SD standard deviation business |
| Zdroj: | EBioMedicine |
| ISSN: | 2352-3964 |
| DOI: | 10.1016/j.ebiom.2018.09.052 |
| Popis: | Background Preoperative prediction of lymph node (LN) status is of crucial importance for appropriate treatment planning in patients with colorectal cancer (CRC). In this study, we sought to develop and validate a non-invasive nomogram model to preoperatively predict LN metastasis in CRC. Methods Development of the nomogram entailed three subsequent stages with specific patient sets. In the discovery set (n = 20), LN-status-related miRNAs were screened from high-throughput sequencing data of human CRC serum samples. In the training set (n = 218), a miRNA panel-clinicopathologic nomogram was developed by logistic regression analysis for preoperative prediction of LN metastasis. In the validation set (n = 198), we validated the above nomogram with respect to its discrimination, calibration and clinical application. Findings Four differently expressed miRNAs (miR-122-5p, miR-146b-5p, miR-186-5p and miR-193a-5p) were identified in the serum samples from CRC patients with and without LN metastasis, which also had regulatory effects on CRC cell migration. The combined miRNA panel could provide higher LN prediction capability compared with computed tomography (CT) scans (P |
| Databáze: | OpenAIRE |
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