Long intergenic non-protein coding RNA 324 prevents breast cancer progression by modulating miR-10b-5p

Journal of Bone Oncology

Zhou

et al. 2020

Highlights There were significant differences in lncRNAs, 18 miRNAs, and 20 mRNAs between breast cancer with and without bone metastasis. JGB3, CAMGV, PTPRZ1, and FBN3 mRNA were related to prognosis of patients with metastatic breast cancer of bone. The proportions of plasma cells and follicular helper T cells were significantly higher in breast cancer with bone metastasis. The model composed of activated mast cells, gamma delta T cells, activated dendritic cells, follicular helper T cells, eosinophils and neutrophils had the smallest Akaike information criterion. DLX6-AS1, Wnt6, and GABBR2 expression may be related to bone metastasis in patients with breast cancer.

Section: Discussionmentioning

confidence: 99%

ceRNA network development and tumour-infiltrating immune cell analysis of metastatic breast cancer to bone

Journal of Bone Oncology

Zhou

et al. 2020

“…Due to the frequent occurrence of bone metastasis in patients with advanced breast cancer, the pathogenesis and clinical management of bone metastasis are important and challenging topics in basic research and clinical practice. The ceRNAs network, including mRNA, miRNA, and lncRNA, and immune cells that in ltrate the tumour may be critical to further understand this phenomenon [12][13][14][15]. We observed that tumour samples with bone metastasis had signi cantly altered proportions of in ltrating cells compared with breast cancer without bone metastasis.…”

Section: Discussionmentioning

confidence: 86%

“…Lncrna is a type of ncRNA with over 200 nucleotides, which has nothing to do with protein-coding [12][13][14][15][16]. New evidence suggests that lncRNA imbalance occurs frequently in many malignant tumours and are vital for carcinogenesis through post-transcriptional regulation and epigenetic modi cation [17,18].…”

Section: Discussionmentioning

confidence: 99%

“…Recently, an increasing number of studies show that aberrant lncrnas expression leads to the development of many kinds of malignant tumours, including breast cancer [12][13][14][15][16][17][18]. As a kind of lncrnas, dlx6-as1 is believed to be carcinogenic by regulating the progression of renal cell carcinoma, liver cell carcinoma, glioma, pancreatic cancer and lung adenocarcinoma [19][20][21][22][23][24][25][26].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

ceRNA Network Development and Tumour-infiltrating Immune Cell Analysis in Metastatic Breast Cancer of Bone

Song

Zhou

et al. 2020

Preprint

Background: Advanced breast cancer commonly metastasises to the bone and the molecular mechanism explaining the bone affinity of breast cancer cells is unclear. Thus, we developed nomograms based on a competing endogenous RNA (ceRNA) network and analysed tumour-infiltrating immunecells to elucidate the molecular pathways that may predict the prognosis of breast cancer patients.Methods: We obtained the RNA expression profile of 1091 primary breast cancer samples from The Cancer Genome Atlas database, 58 of which had bone metastasis. We analysed differential RNA expression patterns between breast cancer with and without bone metastasis and developed a ceRNA network. Cibersort was employed to differentiate between immune cell types based on tumour transcripts. Nomograms were then established using the ceRNA network and immune cell analysis. The value of prognostic factors was evaluated by Kaplan-Meier survival analysis and Cox proportional risk model.Results: There were significant differences in lncRNAs, 18 miRNAs, and 20mRNAs between breast cancer with and without bone metastasis, which were used to construct a ceRNA network. We found that the protein-coding genes gjb3, cammv, ptprz1,and fbn3 were significant in our Kaplan-Meier analysis. We also observed significant differences in plasma cell and follicular helper T cell populations between the two groups. In addition, the proportions of mast cells, gamma delta T cells, and plasma cells differed depending on disease location and stage. Our analysis revealed that a high proportion of follicular helper T cells and a low proportion of eosinophils promoted survival and that dlx6-as1, wnt6,and gabbr2expression may be related to bone metastasis of breast cancer.Conclusions: We provided a bioinformatic basis for exploring the molecular mechanism of bone metastasis in breast cancer patients and identified factors that may predict this.

“…Among these risk molecules, LINC00324 was the most widely studied. For example, LINC00324 prevents breast cancer progression by modulating miR-10b-5p [33]. LINC00324 exerts tumor-promoting functions in lung adenocarcinoma via targeting miR-615-5p/AKT1 axis [34].…”

Section: Gene Set Enrichment Analysismentioning

confidence: 99%

Large-Scale Transcriptome Analysis Identified Novel Ferroptosis-Related Gene Signatures for Predicting the Prognostic of Patients with Lung Adenocarcinoma

Sun

et al. 2020

Preprint

Background: Lung cancer is the most common of all malignant tumors. Traditional tumor staging has general sensitivity and specificity in predicting patient prognosis. Ferroptosis is a novel form of non-apoptotic form of cell death promoted by lipid peroxidation. Ferroptosis may be involved in the malignant progression of tumors through the regulation of glutathione depletion or the P53 signaling pathway. However, there are fewer studies on the impact of ferroptosis on tumor prognosis.Methods: We summarized 22 molecules that regulate ferroptosis. The transcriptome and corresponding clinical data were obtained from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. The Wilcoxon test was utilized to analyze the expression of ferroptosis-related genes. We established risk score signatures, and all patients divided into two groups. Survival curves and multifactorial Cox regression analyses were performed to explore the prognostic value of ferroptosis on lung adenocarcinoma (LUAD).Results: We found that most ferroptosis-related genes are specifically expressed in LUAD tissue. We established a six‑mRNA signature and a seven‑IncRNA signature. All the models showed high predictive performance (AUC: 0.66–0.8), and patients in the low-risk group had higher overall survival than those in the high-risk group (P<0.05). The risk score is an independent risk factor for predicting the prognosis of LUAD.Conclusions: Our study demonstrates the critical role of ferroptosis in LUAD, and it is expected to supply a reference for the prognostic stratification of LUAD.