Integrated analysis of immune-related genes in endometrial carcinoma
- PDF / 2,829,053 Bytes
- 17 Pages / 595.276 x 790.866 pts Page_size
- 24 Downloads / 176 Views
PRIMARY RESEARCH
Cancer Cell International Open Access
Integrated analysis of immune‑related genes in endometrial carcinoma Yiru Wang1†, Yunduo Liu1†, Yue Guan1, Hao Li1, Yuan Liu2, Mengjun Zhang2, Ping Cui1, Dan Kong1, Xiuwei Chen1* and Hang Yin2*
Abstract Background: Exploring 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. Methods: Transcription 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 (qRTPCR) were conducted to detect the accuracy of our results. Results: A 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. Conclusions: Overall, 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. Keywords: Long non-coding RNA, Immune, Biomarkers, Transcription factor, Endometrial cancer, The cancer genome atlas Background Endometrial cancer (EC) is considered as the most common gynecological malignancy [1]. The incidence and mortality of EC have shown an upward tendency annually worldwide, affecting approximately 63,000 new *Correspondence: [email protected]; [email protected] † Yiru Wang and Yunduo Liu contributed equally to this study 1 The Department of Gynecologic Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, Heilongjiang, China 2 The Department of Radiotherapy Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
patients and contributing to over 11,000 deaths in the U.S. each year [2]. The increasing morbidity of EC in the United States and worldwide is particularly due to obesity, senility, early menarche, late menopause and Lync
Data Loading...
