Screening lncRNAs with diagnostic and prognostic value for human stomach adenocarcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Stomach adenocarcinoma (STAD), is one of the most lethal malignancies around the world. The aim of this study was to find the long noncoding RNAs (lncRNAs) acting as diagnostic and prognostic biomarker of STAD. Base on TCGA dataset, the differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) were identified between STAD and normal tissue. The machine learning and survival analysis were performed to evaluate the potential diagnostic and prognostic value of lncRNAs for STAD. We also build the co-expression network and functional annotation. The expression of selected candidate mRNAs and lncRNAs were validated by Quantitative real-time polymerase chain reaction (qRT-PCR) and GSE27342 dataset. GSE27342 dataset were also to perform gene set enrichment analysis. A total of 814 DEmRNAs and 106 DElncRNAs between STAD and normal tissue were obtained. FOXD2-AS1, LINC01235, and RP11-598F7.5 were defined as optimal diagnostic lncRNA biomarkers for STAD. The area under curve (AUC) of the decision tree model, random forests model, and support vector machine (SVM) model were 0.797, 0.981, and 0.983, and the specificity and sensitivity of the three model were 75.0% and 97.1%, 96.9% and 96%, and 96.9% and 97.1%, respectively. Among them, LINC01235 was not only an optimal diagnostic lncRNA biomarkers, but also related to survival time. The expression of three DEmRNAs (ESM1, WNT2, and COL10A1) and three optimal diagnostic lncRNAs biomarkers (FOXD2-AS1, RP11-598F7.5, and LINC01235) in qRT-PCR validation was were consistent with our integrated analysis. Except for FOXD2-AS1, ESM1, WNT2, COL10A1, and LINC01235 were upregulated in STAD, which was consistent with our integration results. Gene set enrichment analysis results indicated that DNA replication, Cell cycle, ECM-receptor interaction, and P53 signaling pathway were four significantly enriched pathways in STAD. Our study identified three DElncRNAs as potential diagnostic biomarkers of STAD. Among them, LINC01235 also was a prognostic lncRNA biomarkers.

Li Q ，Liu X ，Gu J ，Zhu J ，Wei Z ，Huang H ... -  《Molecular Genetics & Genomic Medicine》

Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Hu Y ，Guo G ，Li J ，Chen J ，Tan P ... -  《-》

Identification of aberrantly expressed long non-coding RNAs in stomach adenocarcinoma.

Gu J ，Li Y ，Fan L ，Zhao Q ，Tan B ，Hua K ，Wu G ... -  《Oncotarget》

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

Wang Y ，Fu J ，Wang Z ，Lv Z ，Fan Z ，Lei T ... -  《-》

Identification of long noncoding RNAs biomarkers for diagnosis and prognosis in patients with colon adenocarcinoma.

In the study, we aimed to find key long noncoding RNAs (lncRNAs) significantly associated with the diagnosis of colon adenocarcinoma (COAD) and lncRNA signatures to provide survival risk prognosis for patients with COAD. The lncRNA and messenger RNA (mRNA) expression profiles and clinical information of patients with COAD were obtained from the Cancer Genome Atlas database. The differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) between COAD and normal tissues were identified. The optimal diagnostic and prognostic lncRNA biomarkers for COAD were identified by using feature selection procedure and classification model. Functional enrichment analysis revealed the possible roles of mRNAs coexpressed with lncRNAs in some cancer-related biological processes and pathways. Receiver operating characteristic curve of these lncRNA biomarkers were obtained by using 10-fold cross-validation. Univariate and multivariate Cox regression analysis for these DElncRNAs were performed to obtain the lncRNAs related to overall survival time. The expression levels of selected DElncRNAs were validated by quantitative real time polymerase chain reaction (qRT-PCR). A total of 169 DElncRNAs (60 downregulated and 109 upregulated) and 1236 DEmRNAs (708 downregulated and 528 upregulated) between COAD and normal tissues were identified. Eight lncRNAs of XXbac-B476C20.9, PP7080, CDKN2B-AS1, LINC00092, CA3-AS1, HAND2-AS1, CTD-2269F5.1, and LINC01082 were selected as optimal diagnostic lncRNA biomarkers for COAD. The expression of eight optimal diagnostic lncRNA biomarkers in qRT-PCR validation was consistent with our integrated analysis. Among them, XXbac-B476C20.9 was not only one of the eight optimal diagnostic lncRNA biomarkers, but also related to the prognosis of COAD. Our study demonstrated the promising potential of XXbac-B476C20.9 as an independent biomarker for diagnosis and prognosis of patients with COAD.

Huang W ，Liu Z ，Li Y ，Liu L ，Mai G ... -  《-》