Literature DB >> 27186415

Plasma LUNX mRNA, a non-invasive specific biomarker for diagnosis and prognostic prediction of non-small cell lung cancer.

Hong-Xing Zhou1, Ming-Xia Yang2, Yan Wang1, Wen-Ming Cao1, Ke-Feng Lu1, Ling-Yan Zong1, Rong-Qiang Wu1, Ping Zhang1.   

Abstract

Lung cancer is the most common cancer worldwide. However, no specific biomarker has been found in diagnosis and evaluation of therapeutic efficacy for lung cancer. The human lung-specific X protein gene (LUNX) was recently identified with a feature of lung tissue specificity. We applied the fluorescent quantitative polymerase chain reaction method to examine LUNX mRNA in plasma and peripheral blood mononuclear cells (PBMC) in patients with non-small cell lung cancer (NSCLC), benign lung diseases, extrapulmonary tumors, and healthy subjects. The results showed that LUNX mRNA in both of plasma and PBMC were significantly higher in lung cancer patients compared to other groups. In plasma, there were higher sensitivity and negative predictive value of LUNX mRNA than in PBMC. Patients with III~IV stages of lung cancer had more LUNX mRNA in plasma than the early stage of lung cancer sufferers. After a period of therapy, significant reductions of plasma LUNX mRNA in patients with I and II stages of lung cancer were found. Levels of plasma LUNX mRNA in patients who had succeeded to respond to therapy decreased compared to prior treatment. On the other hand, the post-treatment level was obviously increased in patients that had failed to respond to therapy. Patients with negative plasma LUNX mRNA after therapy displayed a favorable prognosis and survival rate. These preliminary data suggested that cell-free LUNX mRNA in plasma as a non-invasive biomarker, is superior to peripheral intracellular LUNX mRNA, and plays a critical role in specific diagnosis and prognostic prediction of non-small cell lung cancer.

Entities:  

Keywords:  LUNX; cell-free RNA; non-small cell lung cancer; plasma

Year:  2016        PMID: 27186415      PMCID: PMC4859672     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  21 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Presence of RNA in the nucleoprotein complex spontaneously released by human lymphocytes and frog auricles in culture.

Authors:  M Stroun; P Anker; M Beljanski; J Henri; C Lederrey; M Ojha; P A Maurice
Journal:  Cancer Res       Date:  1978-10       Impact factor: 12.701

3.  Isolation and characterization of an RNA-proteolipid complex associated with the malignant state in humans.

Authors:  A J Wieczorek; C Rhyner; L H Block
Journal:  Proc Natl Acad Sci U S A       Date:  1985-05       Impact factor: 11.205

4.  Neuron-specific enolase and lung cancer.

Authors:  Demet Karnak; Sumru Beder; Oya Kayacan; Erkan Ibiş; Gül Oflaz
Journal:  Am J Clin Oncol       Date:  2005-12       Impact factor: 2.339

5.  Combination of circulating CXCR4 and Bmi-1 mRNA in plasma: A potential novel tumor marker for gastric cancer.

Authors:  Wenrong Xu; Hongxing Zhou; Hui Qian; Xuefeng Bu; Deyu Chen; Hongbing Gu; Wei Zhu; Yongmin Yan; Fei Mao
Journal:  Mol Med Rep       Date:  2009 Sep-Oct       Impact factor: 2.952

6.  Segregation of RNA and separate packaging of DNA and RNA in apoptotic bodies during apoptosis.

Authors:  H D Halicka; E Bedner; Z Darzynkiewicz
Journal:  Exp Cell Res       Date:  2000-11-01       Impact factor: 3.905

7.  Circulating RNA as a novel tumor marker: an in vitro study of the origins and characteristics of extracellular RNA.

Authors:  Hongxing Zhou; Wenrong Xu; Hui Qian; Qin Yin; Wei Zhu; Yongmin Yan
Journal:  Cancer Lett       Date:  2007-10-31       Impact factor: 8.679

8.  Detection of micrometastases in peripheral blood of non-small cell lung cancer with a refined immunomagnetic nanoparticle enrichment assay.

Authors:  Qing Li; Hui Qi; Han-Xin Zhou; Chun-Yan Deng; Hai Zhu; Jin-Feng Li; Xi-Li Wang; Fu-Rong Li
Journal:  Int J Nanomedicine       Date:  2011-09-29

9.  Expression of two basic mRNA biomarkers in peripheral blood of patients with non-small cell lung cancer detected by real-time rt-PCR, individually and simultaneously.

Authors:  Shirin Karimi; Abdolreza Mohamadnia; Seyed Alireza Nadji; Reza Yadegarazari; Adnan Khosravi; Naghmeh Bahrami; Massoud Saidijam
Journal:  Iran Biomed J       Date:  2015

10.  Diagnostic utility of LunX mRNA in peripheral blood and pleural fluid in patients with primary non-small cell lung cancer.

Authors:  Min Cheng; Yongyan Chen; Xiaoqing Yu; Zhigang Tian; Haiming Wei
Journal:  BMC Cancer       Date:  2008-05-31       Impact factor: 4.430

View more
  4 in total

1.  Dynamic edge-based biomarker non-invasively predicts hepatocellular carcinoma with hepatitis B virus infection for individual patients based on blood testing.

Authors:  Yiyu Lu; Zhaoyuan Fang; Meiyi Li; Qian Chen; Tao Zeng; Lina Lu; Qilong Chen; Hui Zhang; Qianmei Zhou; Yan Sun; Xuefeng Xue; Yiyang Hu; Luonan Chen; Shibing Su
Journal:  J Mol Cell Biol       Date:  2019-08-19       Impact factor: 6.216

2.  RNA sequencing uncovers the key long non-coding RNAs and potential molecular mechanism contributing to XAV939-mediated inhibition of non-small cell lung cancer.

Authors:  Haixiang Yu; Zhifeng Han; Zhenan Xu; Chong An; Lei Xu; Hua Xin
Journal:  Oncol Lett       Date:  2019-03-27       Impact factor: 2.967

3.  Serum microRNA-135a as a diagnostic biomarker in non-small cell lung cancer.

Authors:  Yuanwu Zou; Chengbao Jing; Li Liu; Ting Wang
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

4.  Identifying the Best Marker Combination in CEA, CA125, CY211, NSE, and SCC for Lung Cancer Screening by Combining ROC Curve and Logistic Regression Analyses: Is It Feasible?

Authors:  Qixian Yang; Ping Zhang; Rongqiang Wu; Kefeng Lu; Hongxing Zhou
Journal:  Dis Markers       Date:  2018-10-01       Impact factor: 3.434

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.