Integrated analysis of immune-related genes in endometrial carcinoma

Cancer Cell International

Yiru Wang¹  Dan Kong¹  Ping Cui¹  Hao Li¹  Yue Guan¹  Xiuwei Chen¹  Yunduo Liu¹  Hang Yin²  Yuan Liu²  Mengjun Zhang² 

[1] The Department of Gynecologic Oncology, Harbin Medical University Cancer Hospital, 150040, Harbin, Heilongjiang, China;The Department of Radiotherapy Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China;

关键词: Long non-coding RNA;    Immune;    Biomarkers;    Transcription factor;    Endometrial cancer;    The cancer genome atlas;   

DOI  :  10.1186/s12935-020-01572-6

来源: Springer

【 摘 要 】

BackgroundExploring novel and sensitive targets is urgent due to the high morbidity of endometrial cancer (EC). The purpose of our study was to explore the transcription factors and immune-related genes in EC and further identify immune-based lncRNA signature as biomarker for predicting survival prognosis.MethodsTranscription factors, aberrantly expressed immune-related genes and immune-related lncRNAs were explored through bioinformatics analysis. Cox regression and the least absolute shrinkage and selection operator (LASSO) analysis were conducted to identify the immune and overall survival (OS) related lncRNAs. The accuracy of model was evaluated by Kaplan–Meier method and receiver operating characteristic (ROC) analysis, and the independent prognostic indicator was identified with Cox analysis. Quantitative real-time polymerase chain reaction (qRT-PCR) were conducted to detect the accuracy of our results.ResultsA network of 29 transcription factors and 17 immune-related genes was constructed. Furthermore, four immune-prognosis-related lncRNAs were screened out. Kaplan–Meier survival analysis and time-dependent ROC analysis revealed a satisfactory predictive potential of the 4-lncRNA model. Consistency was achieved among the results from the training set, testing set and entire cohort. The distributed patterns between the high- and low-risk groups could be distinguished in principal component analysis. Comparisons of the risk score and clinical factors confirmed the four-lncRNA-based signature as an independent prognostic indicator. Last, the reliability of the results was verified by qRT-PCR in 29 cases of endometrial carcinoma and in cells.ConclusionsOverall, our study constructed a network of transcription factors and immune-related genes and explored a four immune-related lncRNA signature that could serve as a novel potential biomarker of EC.

【 授权许可】

CC BY