Literature DB >> 29857300

RNA sequencing enables systematic identification of platelet transcriptomic alterations in NSCLC patients.

Qun Zhang1, Huan Hu1, Hongda Liu2, Jiajia Jin3, Peiyuan Zhu4, Shujun Wang4, Kaikai Shen5, Yangbo Hu6, Zhou Li1, Ping Zhan1, Suhua Zhu1, Hang Fan1, Jianya Zhang1, Tangfeng Lv7, Yong Song8.   

Abstract

Platelets are implicated as key players in the metastatic dissemination of tumor cells. Previous evidence demonstrated platelets retained cytoplasmic RNAs with physiologically activity, splicing pre-mRNA to mRNA and translating into functional proteins in response to external stimulation. Recently, platelets gene profile of healthy or diseased individuals were characterized with the help of RNA sequencing (RNA-Seq) in some studies, leading to new insights into the mechanisms underlying disease pathogenesis. In this study, we performed RNA-seq in platelets from 7 healthy individuals and 15 non-small cell lung cancer (NSCLC) patients. Our data revealed a subset of near universal differently expressed gene (DEG) profiles in platelets of metastatic NSCLC compared to healthy individuals, including 626 up-regulated RNAs (mRNAs and ncRNAs) and 1497 down-regulated genes. The significant over-expressed genes showed enrichment in focal adhesion, platelets activation, gap junction and adherens junction pathways. The DEGs also included previously reported tumor-related genes such as PDGFR, VEGF, EGF, etc., verifying the consistence and significance of platelet RNA-Seq in oncology study. We also validated several up-regulated DEGs involved in tumor cell-induced platelet aggregation (TCIPA) and tumorigenesis. Additionally, transcriptomic comparison analyses of NSCLC subgroups were conducted. Between non-metastatic and metastatic NSCLC patients, 526 platelet DEGs were identified with the most altered expression. The outcomes from subgroup analysis between lung adenocarcinoma and lung squamous cell carcinoma demonstrated the diagnostic potential of platelet RNA-Seq on distinguishing tumor histological types.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Differentially expressed genes; Metastasis; Non-small cell lung cancer; RNA sequencing; Transcriptomic

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Year:  2018        PMID: 29857300     DOI: 10.1016/j.biopha.2018.05.074

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  2 in total

1.  Serum Exosomal miRNA Might Be a Novel Liquid Biopsy to Identify Leptomeningeal Metastasis in Non-Small Cell Lung Cancer.

Authors:  Qiuli Xu; Liang Ye; Litang Huang; Li Zhou; Xi Chen; Mingxiang Ye; Guannan Wu; Ping Zhan; Tangfeng Lv; Yong Song
Journal:  Onco Targets Ther       Date:  2021-04-01       Impact factor: 4.147

2.  Computed Tomographic Image Processing and Reconstruction in the Diagnosis of Rare Osteochondroma.

Authors:  Ting Zhao; Hongyan Zhao
Journal:  Comput Math Methods Med       Date:  2021-08-14       Impact factor: 2.238

  2 in total

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