A novel serum miRNA-pair classifier for diagnosis of sarcoma.
Soft tissue sarcomas (STS) is a set of rare malignant tumor originated from mesoderm. For the prognosis of sarcoma, early diagnosis is important, however, currently no mature and non-invasive method for diagnosis exists. MicroRNAs (miRNAs) are a class of noncoding RNAs and their expression varies gr...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236097&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850205931617386496 |
|---|---|
| author | Zheng Jin Shanshan Liu Pei Zhu Mengyan Tang Yuanxin Wang Yuan Tian Dong Li Xun Zhu Dongmei Yan Zhenhua Zhu |
| author_facet | Zheng Jin Shanshan Liu Pei Zhu Mengyan Tang Yuanxin Wang Yuan Tian Dong Li Xun Zhu Dongmei Yan Zhenhua Zhu |
| author_sort | Zheng Jin |
| collection | DOAJ |
| description | Soft tissue sarcomas (STS) is a set of rare malignant tumor originated from mesoderm. For the prognosis of sarcoma, early diagnosis is important, however, currently no mature and non-invasive method for diagnosis exists. MicroRNAs (miRNAs) are a class of noncoding RNAs and their expression varies greatly, especially during tumor activity. The purpose of this study was to construct a predictive model for the diagnosis of sarcomas based on the relative expression level of miRNA in serum. miRNA array expression data of 677 samples including 402 malignant sarcoma samples and 275 healthy samples was used to construct the prediction model. Based on 6 gene pairs, random generalized linear model (RGLM) was constructed, with an accuracy of 100% in the internal test dataset and of 74.3% in the merged external dataset in prediction whether a serum sample was obtained from a sarcoma patient, with a specificity of 100% in the internal test dataset and 90.5% in the external dataset. In conclusion, our serum miRNA-pair classifier has the potential to be used for the screening of sarcoma with high accuracy and specificity. |
| format | Article |
| id | doaj-art-d511b79466c7449ab92d90f0533f99eb |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-d511b79466c7449ab92d90f0533f99eb2025-08-20T02:10:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01157e023609710.1371/journal.pone.0236097A novel serum miRNA-pair classifier for diagnosis of sarcoma.Zheng JinShanshan LiuPei ZhuMengyan TangYuanxin WangYuan TianDong LiXun ZhuDongmei YanZhenhua ZhuSoft tissue sarcomas (STS) is a set of rare malignant tumor originated from mesoderm. For the prognosis of sarcoma, early diagnosis is important, however, currently no mature and non-invasive method for diagnosis exists. MicroRNAs (miRNAs) are a class of noncoding RNAs and their expression varies greatly, especially during tumor activity. The purpose of this study was to construct a predictive model for the diagnosis of sarcomas based on the relative expression level of miRNA in serum. miRNA array expression data of 677 samples including 402 malignant sarcoma samples and 275 healthy samples was used to construct the prediction model. Based on 6 gene pairs, random generalized linear model (RGLM) was constructed, with an accuracy of 100% in the internal test dataset and of 74.3% in the merged external dataset in prediction whether a serum sample was obtained from a sarcoma patient, with a specificity of 100% in the internal test dataset and 90.5% in the external dataset. In conclusion, our serum miRNA-pair classifier has the potential to be used for the screening of sarcoma with high accuracy and specificity.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236097&type=printable |
| spellingShingle | Zheng Jin Shanshan Liu Pei Zhu Mengyan Tang Yuanxin Wang Yuan Tian Dong Li Xun Zhu Dongmei Yan Zhenhua Zhu A novel serum miRNA-pair classifier for diagnosis of sarcoma. PLoS ONE |
| title | A novel serum miRNA-pair classifier for diagnosis of sarcoma. |
| title_full | A novel serum miRNA-pair classifier for diagnosis of sarcoma. |
| title_fullStr | A novel serum miRNA-pair classifier for diagnosis of sarcoma. |
| title_full_unstemmed | A novel serum miRNA-pair classifier for diagnosis of sarcoma. |
| title_short | A novel serum miRNA-pair classifier for diagnosis of sarcoma. |
| title_sort | novel serum mirna pair classifier for diagnosis of sarcoma |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0236097&type=printable |
| work_keys_str_mv | AT zhengjin anovelserummirnapairclassifierfordiagnosisofsarcoma AT shanshanliu anovelserummirnapairclassifierfordiagnosisofsarcoma AT peizhu anovelserummirnapairclassifierfordiagnosisofsarcoma AT mengyantang anovelserummirnapairclassifierfordiagnosisofsarcoma AT yuanxinwang anovelserummirnapairclassifierfordiagnosisofsarcoma AT yuantian anovelserummirnapairclassifierfordiagnosisofsarcoma AT dongli anovelserummirnapairclassifierfordiagnosisofsarcoma AT xunzhu anovelserummirnapairclassifierfordiagnosisofsarcoma AT dongmeiyan anovelserummirnapairclassifierfordiagnosisofsarcoma AT zhenhuazhu anovelserummirnapairclassifierfordiagnosisofsarcoma AT zhengjin novelserummirnapairclassifierfordiagnosisofsarcoma AT shanshanliu novelserummirnapairclassifierfordiagnosisofsarcoma AT peizhu novelserummirnapairclassifierfordiagnosisofsarcoma AT mengyantang novelserummirnapairclassifierfordiagnosisofsarcoma AT yuanxinwang novelserummirnapairclassifierfordiagnosisofsarcoma AT yuantian novelserummirnapairclassifierfordiagnosisofsarcoma AT dongli novelserummirnapairclassifierfordiagnosisofsarcoma AT xunzhu novelserummirnapairclassifierfordiagnosisofsarcoma AT dongmeiyan novelserummirnapairclassifierfordiagnosisofsarcoma AT zhenhuazhu novelserummirnapairclassifierfordiagnosisofsarcoma |