Integrative Analysis and Identification of an Excellent lncRNA Signature to Predict Prognosis in Patients With Colon Cancer

التفاصيل البيبلوغرافية
العنوان: Integrative Analysis and Identification of an Excellent lncRNA Signature to Predict Prognosis in Patients With Colon Cancer
المؤلفون: ZhiHua Chen, YiLin Lin, SuYong Lin, YiSu Liu, Yan Zheng, Ji Gao, Shao-Qin Chen
بيانات النشر: Research Square Platform LLC, 2021.
سنة النشر: 2021
الوصف: Backgroud: Tumour recurrence and metastasis lead to poor prognosis in colon cancer (COAD). Therefore We aimed to identify a lncRNA signature through an integrative analysis of copy number variation, mutation and transcriptome data to predict prognosis and explore its internal mechanism.Methods: The lncRNA expression profile were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). TCGA data was randomly divided 3:1 into training and testing cohort. In the training, we performed integrated analyses of three candidate lncRNA sets that correlated with prognosis, copy number variations and mutations to establish a signature through Cox regression analysis. The robustness was determined in the testing and GEO. Results: An 11-lncRNA signature that was significantly associated with prognosis was constructed in the training (P
DOI: 10.21203/rs.3.rs-153976/v1
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a5b9aaf8e90e9624b1290517d2e333aa
https://doi.org/10.21203/rs.3.rs-153976/v1
Rights: OPEN
رقم الانضمام: edsair.doi...........a5b9aaf8e90e9624b1290517d2e333aa
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.21203/rs.3.rs-153976/v1