Double-Stranded DNA in Exosomes of Malignant Pleural Effusions as a Novel DNA Source for EGFR Mutation Detection in Lung Adenocarcinoma.
Journal: 2019/October - Frontiers in Oncology
ISSN: 2234-943X
Abstract:
Background: Exosomes are cell-derived vesicles and bear a specific set of nucleic acids including DNA (exoDNA). Thus, this study is to explore whether exoDNA in malignant pleural effusions (MPEs) could be a novel DNA source for mutation detection of epidermal growth factor receptor (EGFR). Methods: In this study, 52 lung adenocarcinoma patients were enrolled, and EGFR mutation status was detected with tumor tissues as well as cell blocks and exosomes in MPEs. The sensitivity, specificity and consistency of EGFR detection using exosomes were evaluated, compared with gene detection using tumor tissues and cell blocks. And the clinical response of patients who were detected as EGFR mutation in exosomes and treated with EGFR tyrosine kinase inhibitor (EGFR-TKI) was explored. Results: Gene detection using exosomes showed sensitivity of 100%, specificity of 96.55% and coincidence rate of 98.08% (Kappa = 0.961, P < 0.001), compared with detection using tumor tissues and cell blocks. After EGFR-TKI treatment, patients detected as EGFR mutation by exosomes showed efficacy rate of 83% and disease control rate of 100%. And patients who were detected as wild type in tumor tissues or cell blocks but EGFR mutation in exosomes turned up as PR or SD. Conclusions: These results demonstrated that exoDNA in MPEs could be used as a DNA source for EGFR detection in lung adenocarcinoma.
Relations:
Content
Citations
(5)
References
(26)
Diseases
(1)
Conditions
(1)
Drugs
(2)
Chemicals
(3)
Genes
(1)
Processes
(1)
Anatomy
(3)
Affiliates
(1)
Similar articles
Articles by the same authors
Discussion board
Front Oncol 9: 931

Double-Stranded DNA in Exosomes of Malignant Pleural Effusions as a Novel DNA Source for EGFR Mutation Detection in Lung Adenocarcinoma

+8 authors
Click here for additional data file.(671K, docx)
Department of Oncology, The Fourth Medical Center of PLA General Hospital, Beijing, China
Department of Oncology, People's Hospital of Beijing Daxing District, Capital Medical University, Beijing, China
Department of Oncology, The First Hospital of Hebei Medical University, Shijiazhuang, China
Department of Internal Medicine, Sino-Singapore Eco-City Hospital of Tianjin Medical University, Tianjin, China
Edited by: Joshua Michael Bauml, University of Pennsylvania, United States
Reviewed by: Umberto Malapelle, University of Naples Federico II, Italy; Marzia Del Re, University of Pisa, Italy; Tejas Patil, University of Colorado Denver, United States
*Correspondence: Wenhua Xiao moc.liamtoh@oaixh_w
This article was submitted to Thoracic Oncology, a section of the journal Frontiers in Oncology
†These authors have contributed equally to this work
Edited by: Joshua Michael Bauml, University of Pennsylvania, United States
Reviewed by: Umberto Malapelle, University of Naples Federico II, Italy; Marzia Del Re, University of Pisa, Italy; Tejas Patil, University of Colorado Denver, United States
Received 2019 Jun 26; Accepted 2019 Sep 5.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Abstract

Background: Exosomes are cell-derived vesicles and bear a specific set of nucleic acids including DNA (exoDNA). Thus, this study is to explore whether exoDNA in malignant pleural effusions (MPEs) could be a novel DNA source for mutation detection of epidermal growth factor receptor (EGFR).

Methods: In this study, 52 lung adenocarcinoma patients were enrolled, and EGFR mutation status was detected with tumor tissues as well as cell blocks and exosomes in MPEs. The sensitivity, specificity and consistency of EGFR detection using exosomes were evaluated, compared with gene detection using tumor tissues and cell blocks. And the clinical response of patients who were detected as EGFR mutation in exosomes and treated with EGFR tyrosine kinase inhibitor (EGFR-TKI) was explored.

Results: Gene detection using exosomes showed sensitivity of 100%, specificity of 96.55% and coincidence rate of 98.08% (Kappa = 0.961, P < 0.001), compared with detection using tumor tissues and cell blocks. After EGFR-TKI treatment, patients detected as EGFR mutation by exosomes showed efficacy rate of 83% and disease control rate of 100%. And patients who were detected as wild type in tumor tissues or cell blocks but EGFR mutation in exosomes turned up as PR or SD.

Conclusions: These results demonstrated that exoDNA in MPEs could be used as a DNA source for EGFR detection in lung adenocarcinoma.

Keywords: exosome, double-stranded DNA, EGFR mutation, malignant pleural effusions, lung adenocarcinoma
Abstract

Glossary

Abbreviations

EGFRepidermal growth factor receptor
EGFR-TKIEGFR tyrosine kinase inhibitor
MPEsmalignant pleural effusions
cfDNAcell free DNA
exoDNAexosomal DNA
CRcomplete remission
PRpartial remission
SDstable disease
PDprogressive disease
exon 19 Deldeletion mutation in exon 19
exon 21 L858RL858R substitute mutation in exon 21.
Glossary

Footnotes

Funding. This work was supported by National Natural Science Foundation of China (Grant No. 81372220), Natural Science Foundation of Beijing Municipality (Grant No. 7152143), Science and Technology Commission of Beijing Municipality (Grant No. D141100000214603), and PLA General Hospital (Grant No. 2015-CXYY-3042). The funding sources had no involvement in the study design, collection, analysis, or interpretation of data.

Footnotes
Click here for additional data file.(671K, docx)

References

  • 1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. (2015) 65:87–108. 10.3322/caac.21262 [] [[PubMed]
  • 2. Cheng TY, Cramb SM, Baade PD, Youlden DR, Nwogu C, Reid ME. The international epidemiology of lung cancer: latest trends, disparities, and tumor characteristics. J Thorac Oncol. (2016) 11:1653–71. 10.1016/j.jtho.2016.05.021 ] [
  • 3. Duan H, Lu J, Lu T, Gao J, Zhang J, Xu Y, et al. . Comparison of EGFR mutation status between plasma and tumor tissue in non-small cell lung cancer using the Scorpion ARMS method and the possible prognostic significance of plasma EGFR mutation status. Int J Clin Exp Pathol. (2015) 8:13136–45.
  • 4. Zhang Q, Nong J, Wang J, Yan Z, Yi L, Gao X, et al. . Isolation of circulating tumor cells and detection of EGFR mutations in patients with non-small-cell lung cancer. Oncol Lett. (2019) 17:3799–807. 10.3892/ol.2019.10016 ] [
  • 5. Phan TT, Tran BT, Nguyen ST, Ho TT, Nguyen HT, Le VT, et al. . EGFR plasma mutation in prediction models for resistance with EGFR TKI and survival of non-small cell lung cancer. Clin Transl Med. (2019) 8:4. 10.1186/s40169-019-0219-8 ] [
  • 6. Molina-Vila MA, de-Las-Casas CM, Bertran-Alamillo J, Jordana-Ariza N, Gonzalez-Cao M, Rosell R. cfDNA analysis from blood in melanoma. Ann Transl Med. (2015) 3:309. 10.3978/j.issn.2305-5839.2015.11.23 ] [
  • 7. Valpione S, Gremel G, Mundra P, Middlehurst P, Galvani E, Girotti MR, et al. . Plasma total cell-free DNA (cfDNA) is a surrogate biomarker for tumour burden and a prognostic biomarker for survival in metastatic melanoma patients. Eur J Cancer. (2018) 88:1–9. 10.1016/j.ejca.2017.10.029 ] [
  • 8. Garcia-Olmo DC, Samos J, Picazo MG, Asensio AI, Toboso I, Garcia-Olmo D. Release of cell-free DNA into the bloodstream leads to high levels of non-tumor plasma DNA during tumor progression in rats. Cancer Lett. (2008) 272:133–40. 10.1016/j.canlet.2008.07.003 [] [[PubMed]
  • 9. Alenquer M, Amorim MJ. Exosome biogenesis, regulation, and function in viral infection. Viruses. (2015) 7:5066–83. 10.3390/v7092862 ] [
  • 10. Li X, Corbett AL, Taatizadeh E, Tasnim N, Little JP, Garnis C, et al. . Challenges and opportunities in exosome research-perspectives from biology, engineering, and cancer therapy. APL Bioeng. (2019) 3:011503. 10.1063/1.5087122 ] [
  • 11. Zhang J, Li S, Li L, Li M, Guo C, Yao J, et al. . Exosome and exosomal microRNA: trafficking, sorting, and function. Genomics Proteomics Bioinformatics. (2015) 13:17–24. 10.1016/j.gpb.2015.02.001 ] [
  • 12. Reclusa P, Sirera R, Araujo A, Giallombardo M, Valentino A, Sorber L, et al. . Exosomes genetic cargo in lung cancer: a truly Pandora's box. Transl Lung Cancer Res. (2016) 5:483–91. 10.21037/tlcr.2016.10.06 ] [
  • 13. Hannafon BN, Ding WQ. Intercellular communication by exosome-derived microRNAs in cancer. Int J Mol Sci. (2013) 14:14240–69. 10.3390/ijms140714240 ] [
  • 14. Vardaki I, Ceder S, Rutishauser D, Baltatzis G, Foukakis T, Panaretakis T. Periostin is identified as a putative metastatic marker in breast cancer-derived exosomes. Oncotarget. (2016) 7:74966–78. 10.18632/oncotarget.11663 ] [
  • 15. Kawakami K, Fujita Y, Matsuda Y, Arai T, Horie K, Kameyama K, et al. . Gamma-glutamyltransferase activity in exosomes as a potential marker for prostate cancer. BMC Cancer. (2017) 17:316. 10.1186/s12885-017-3301-x ] [
  • 16. Panigrahi GK, Praharaj PP, Kittaka H, Mridha AR, Black OM, Singh R, et al. . Exosome proteomic analyses identify inflammatory phenotype and novel biomarkers in African American prostate cancer patients. Cancer Med. (2019) 8:1110–23. 10.1002/cam4.1885 ] [
  • 17. Chen M, Xu R, Rai A, Suwakulsiri W, Izumikawa K, Ishikawa H, et al. . Distinct shed microvesicle and exosome microRNA signatures reveal diagnostic markers for colorectal cancer. PLoS ONE. (2019) 14:e0210003. 10.1371/journal.pone.0210003 ] [
  • 18. Kahlert C, Melo SA, Protopopov A, Tang J, Seth S, Koch M, et al. . Identification of double-stranded genomic DNA spanning all chromosomes with mutated KRAS and p53 DNA in the serum exosomes of patients with pancreatic cancer. J Biol Chem. (2014) 289:3869–75. 10.1074/jbc.C113.532267 ] [
  • 19. Lazaro-Ibanez E, Sanz-Garcia A, Visakorpi T, Escobedo-Lucea C, Siljander P, Ayuso-Sacido A, et al. . Different gDNA content in the subpopulations of prostate cancer extracellular vesicles: apoptotic bodies, microvesicles, and exosomes. Prostate. (2014) 74:1379–90. 10.1002/pros.22853 ] [
  • 20. Thakur BK, Zhang H, Becker A, Matei I, Huang Y, Costa-Silva B, et al. . Double-stranded DNA in exosomes: a novel biomarker in cancer detection. Cell Res. (2014) 24:766–9. 10.1038/cr.2014.44 ] [
  • 21. Huang SH, Li Y, Zhang J, Rong J, Ye S. Epidermal growth factor receptor-containing exosomes induce tumor-specific regulatory T cells. Cancer Invest. (2013) 31:330–5. 10.3109/07357907.2013.789905 [] [[PubMed]
  • 22. Shi Y, Au JS, Thongprasert S, Srinivasan S, Tsai CM, Khoa MT, et al. . A prospective, molecular epidemiology study of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology (PIONEER). J Thorac Oncol. (2014) 9:154–62. 10.1097/JTO.0000000000000033 ] [
  • 23. Que D, Xiao H, Zhao B, Zhang X, Wang Q, Xiao H, et al. . EGFR mutation status in plasma and tumor tissues in non-small cell lung cancer serves as a predictor of response to EGFR-TKI treatment. Cancer Biol Ther. (2016) 17:320–7. 10.1080/15384047.2016.1139238 ] [
  • 24. Tseng JS, Yang TY, Tsai CR, Chen KC, Hsu KH, Tsai MH, et al. . Dynamic plasma EGFR mutation status as a predictor of EGFR-TKI efficacy in patients with EGFR-mutant lung adenocarcinoma. J Thorac Oncol. (2015) 10:603–10. 10.1097/JTO.0000000000000443 [] [[PubMed]
  • 25. Castellanos-Rizaldos E, Grimm DG, Tadigotla V, Hurley J, Healy J, Neal PL, et al. . Exosome-based detection of EGFR T790M in plasma from non-small cell lung cancer patients. Clin Cancer Res. (2018) 24:2944–50. 10.1158/1078-0432.CCR-17-3369 [] [[PubMed]
  • 26. Lobb RJ, Becker M, Wen SW, Wong CS, Wiegmans AP, Leimgruber A, et al. . Optimized exosome isolation protocol for cell culture supernatant and human plasma. J Extracell Vesicles. (2015) 4:27031. 10.3402/jev.v4.27031 ] [
Collaboration tool especially designed for Life Science professionals.Drag-and-drop any entity to your messages.