Literature DB >> 31176731

High throughput sequencing identifies breast cancer-secreted exosomal LncRNAs initiating pulmonary pre-metastatic niche formation.

Tongbao Feng1, Ping Zhang2, Yingxin Sun2, Yan Wang2, Jichun Tong3, Hong Dai4, Zichun Hua5.   

Abstract

OBJECTIVE: Increasing evidence indicated that cancer-secreted exosomes played an important role in tumor metastasis. However, the function of exosomes in breast cancer pulmonary metastasis remains unknown. The aim of the study was to investigate the role of exosome-derived from breast cancer-secreted long non-coding RNAs (LncRNAs) on pre-metastatic niche formation in pulmonary metastasis.
METHODS: Exosomes-derived from breast cancer were separated by ultracentrifugation. The high-throughput sequencing, Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were used to detect and evaluate the differential expression of LncRNAs in lung fibroblasts with exosomes treated. And quantitative real-time polymerase chain reaction (qRT-PCR) was performed to verify candidate LncRNAs expression.
RESULTS: We found that exosomes-derived from breast cancer induced lung fibroblasts proliferation and migration. In addition, a large number of LncRNAs expression abnormalities were involved in the breast cancer lung metastasis microenvironment.
CONCLUSION: Our findings suggested that exosomal LncRNAs facilitated tumor pre-metastatic niche formation and represented a novel mechanistic insight into the molecular mechanism of cancer metastasis microenvironment.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Exosomes; LncRNAs; Microenvironment; Pulmonary metastasis

Mesh:

Substances:

Year:  2019        PMID: 31176731     DOI: 10.1016/j.gene.2019.06.004

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  9 in total

Review 1.  Exosomal non-coding RNAs have a significant effect on tumor metastasis.

Authors:  Di Wang; Wei Zhang; Chunxi Zhang; Liwei Wang; Heng Chen; Jianbin Xu
Journal:  Mol Ther Nucleic Acids       Date:  2022-05-31       Impact factor: 10.183

Review 2.  Exosomal Long Non-Coding RNAs in Lung Diseases.

Authors:  Christophe Poulet; Makon-Sébastien Njock; Catherine Moermans; Edouard Louis; Renaud Louis; Michel Malaise; Julien Guiot
Journal:  Int J Mol Sci       Date:  2020-05-19       Impact factor: 5.923

3.  Long non-coding RNA NEAT1 transported by extracellular vesicles contributes to breast cancer development by sponging microRNA-141-3p and regulating KLF12.

Authors:  DaoPing Zhou; Juan Gu; YuePing Wang; HuaiGuo Wu; Wei Cheng; QingPing Wang; GuoPei Zheng; XueDong Wang
Journal:  Cell Biosci       Date:  2021-04-05       Impact factor: 7.133

Review 4.  Extracellular vesicle-mediated transport: Reprogramming a tumor microenvironment conducive with breast cancer progression and metastasis.

Authors:  Dara Brena; Ming-Bo Huang; Vincent Bond
Journal:  Transl Oncol       Date:  2021-11-25       Impact factor: 4.243

Review 5.  Spotlight on Exosomal Non-Coding RNAs in Breast Cancer: An In Silico Analysis to Identify Potential lncRNA/circRNA-miRNA-Target Axis.

Authors:  Ohanes Ashekyan; Samira Abdallah; Ayman Al Shoukari; Ghada Chamandi; Hayat Choubassy; Abdul Rahman S Itani; Nisreen Alwan; Rihab Nasr
Journal:  Int J Mol Sci       Date:  2022-07-28       Impact factor: 6.208

Review 6.  Cancer-Associated Fibroblasts in the Breast Tumor Microenvironment.

Authors:  María Belén Giorello; Francisco Raúl Borzone; Vivian Labovsky; Flavia Valeria Piccioni; Norma Alejandra Chasseing
Journal:  J Mammary Gland Biol Neoplasia       Date:  2021-01-04       Impact factor: 2.673

Review 7.  Tumor-derived exosomal components: the multifaceted roles and mechanisms in breast cancer metastasis.

Authors:  Yufang Tan; Xiao Luo; Wenchang Lv; Weijie Hu; Chongru Zhao; Mingchen Xiong; Yi Yi; Dawei Wang; Yichen Wang; Haiping Wang; Yiping Wu; Qi Zhang
Journal:  Cell Death Dis       Date:  2021-05-26       Impact factor: 8.469

8.  Evaluation of the Role of hsa-mir-124 in Predicting Clinical Outcome in Breast Invasive Carcinoma Based on Bioinformatics Analysis.

Authors:  Tongbao Feng; Ping Zhang; Yingxin Sun; Xiu Han; Jichun Tong; Zichun Hua
Journal:  Biomed Res Int       Date:  2020-03-03       Impact factor: 3.411

9.  Identification of key mutations in central nervous diffuse large B-cell lymphoma (DLBCL) by comprehensive analysis between sequencing and TCGA database.

Authors:  Chunhui Zhou; Yong Cui; Haomin Sun; Fan Yang; Hao Zhao; Luokai Huangfu; Jianning Zhang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  9 in total

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