| 题名 | Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer |
| 作者 | |
| 通讯作者 | Ye, Xiufeng; Cheng, Lixin |
| 发表日期 | 2022-09-01
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| DOI | |
| 发表期刊 | |
| ISSN | 0010-4825
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| EISSN | 1879-0534
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| 卷号 | 148 |
| 摘要 | The non-coding RNA (ncRNA) regulation appears to be associated to the diagnosis and targeted therapy of complex diseases. Motifs of non-coding RNAs and genes in the competing endogenous RNA (ceRNA) network would probably contribute to the accurate prediction of serous ovarian carcinoma (SOC). We conducted a microarray study profiling the whole transcriptomes of eight human SOCs and eight controls and constructed a ceRNA network including mRNAs, long ncRNAs, and circular RNAs (circRNAs). Novel form of motifs (mRNA-ncRNA-mRNA) were identified from the ceRNA network and defined as non-coding RNA's competing endogenous gene pairs (ceGPs), using a proposed method denoised individualized pair analysis of gene expression (deiPAGE). 18 cricRNA's ceGPs (cceGPs) were identified from multiple cohorts and were fused as an indicator (SOC index) for SOC discrimination, which carried a high predictive capacity in independent cohorts. SOC index was negatively correlated with the CD8+/CD4+ ratio in tumour-infiltration, reflecting the migration and growth of tumour cells in ovarian cancer progression. Moreover, most of the RNAs in SOC index were experimentally validated involved in ovarian cancer development. Our results elucidate the discriminative capability of SOC index and suggest that the novel competing endogenous motifs play important roles in expression regulation and could be potential target for investigating ovarian cancer mechanism or its therapy. |
| 关键词 | |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
|
| 学校署名 | 第一
; 通讯
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| 资助项目 | Guangdong Basic and Applied Basic Research Foundation[2022A1515012368]
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| WOS研究方向 | Life Sciences & Biomedicine - Other Topics
; Computer Science
; Engineering
; Mathematical & Computational Biology
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| WOS类目 | Biology
; Computer Science, Interdisciplinary Applications
; Engineering, Biomedical
; Mathematical & Computational Biology
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| WOS记录号 | WOS:000888192600003
|
| 出版者 | |
| ESI学科分类 | COMPUTER SCIENCE
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| 来源库 | Web of Science
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| 引用统计 |
被引频次[WOS]：11
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| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/417086 |
| 专题 | 南方科技大学第一附属医院 |
| 作者单位 | 1.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Affiliated Hosp 1,Clin Med Coll 2, Shenzhen, Peoples R China 2.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China 3.Univ Helsinki, Dept Pulm Med, Helsinki, Finland 4.Helsinki Univ Hosp, Helsinki, Finland 5.Karolinska Inst, Dept Med, Resp Med Unit, Stockholm, Sweden 6.Hebei Med Univ, Dept Gynecol, Hosp 4, Shijiazhuang, Hebei, Peoples R China 7.Bioland Lab Guangzhou Regenerat Med & Hlth Guangd, Guangzhou, Guangdong, Peoples R China 8.Capital Med Univ, Beijing Chaoyang Hosp, Dept Obstet & Gynecol, Beijing, Peoples R China |
| 第一作者单位 | 南方科技大学第一附属医院 |
| 通讯作者单位 | 南方科技大学第一附属医院 |
| 第一作者的第一单位 | 南方科技大学第一附属医院 |
| 推荐引用方式 GB/T 7714 |
Li, Haili,Zheng, Xubin,Gao, Jing,et al. Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2022,148.
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| APA |
Li, Haili.,Zheng, Xubin.,Gao, Jing.,Leung, Kwong-Sak.,Wong, Man-Hon.,...&Cheng, Lixin.(2022).Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer.COMPUTERS IN BIOLOGY AND MEDICINE,148.
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| MLA |
Li, Haili,et al."Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer".COMPUTERS IN BIOLOGY AND MEDICINE 148(2022).
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| 条目包含的文件 | 条目无相关文件。 | |||||
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