Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display session 3

5781 - Exosomes in NSCLC as a source of biomarkers

Date

30 Sep 2019

Session

Poster Display session 3

Topics

Translational Research

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Elena Duréndez

Citation

Annals of Oncology (2019) 30 (suppl_5): v760-v796. 10.1093/annonc/mdz268

Authors

E. Duréndez1, S. Calabuig-Fariñas2, C. Suarez3, M. Mosqueda4, A. Moreno-Manuel5, S. Torres Martinez5, A. Herreros Pomares1, S. Gallach6, E. Escorihuela6, E. de la Cueva7, A. Martinez-Romero8, E. Serna9, J.M. Paramio3, E. Jantus-Lewintre10, C.J. Camps Herrero11

Author affiliations

  • 1 Molecular Oncology Laboratory-ciberonc, Fundación de Investigación Hospital General Universitario de Valencia, 46014 - Valencia/ES
  • 2 Department Of Pathology, Universitat De València, Fundación de Investigación Hospital General Universitario de Valencia, Molecular Oncology Laboratory-CIBERONC, 46014 - Valencia/ES
  • 3 Centro De Investigaciones Energéticas, Medioambientales Y Tecnológicas (ciemat), Molecular Oncology Unit, Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid/ES
  • 4 Molecular Oncology Laboratory, Fundación de Investigación Hospital General Universitario de Valencia, 46014 - valencia/ES
  • 5 Molecular Oncology Laboratory, Fundación de Investigación Hospital General Universitario de Valencia, 46014 - Valencia/ES
  • 6 Molecular Oncology Laboratory-ciberonc, Fundación de Investigación Hospital General Universitario de Valencia, 46014 - valencia/ES
  • 7 Core Facilities Unit, Centro de Investigación Príncipe Felipe, 46012 - Valencia/ES
  • 8 Cytomics Laboratory, Centro de Investigación Príncipe Felipe, 46012 - Valencia/ES
  • 9 Physiology Department, Universitat de Valencia, 46010 - Valencia/ES
  • 10 Department Of Biotechnology, Universidad Politécnica De Valencia, Molecular Oncology Laboratory-CIBERONC, Fundación de Investigación Hospital General Universitario de Valencia, 46014 - Valencia/ES
  • 11 Medicine Department, Universitat De Valencia, Medical Oncology, Hospital General de Valencia- CIBERONC, 46014 - Valencia/ES

Resources

Login to access the resources on OncologyPRO.

If you do not have an ESMO account, please create one for free.

Abstract 5781

Background

Exosomes are small membranous vesicles (around 40-130 nm), that have been detected in different biological samples, that play a key role in NSCLC and being relevant in stem cell differentiation as well. The main objective of this study was to analyze the exosomes cargo from NSCLC cell cultures growth in monolayer (2D) and suspension conditions (3D, lung tumorespheres).

Methods

Cultures were established from NSCLC resected patients and cell lines. Exosomes isolation was performed by ultracentrifugation. Characterization was carried out by NTA, electron microscopy, immunoblot and flow cytometry. Mutational status of EGFR and RAS genes was analyzed by BEAMing dPCR. Transcriptomic analysis has been carried out from exosomal RNA with microarrays, (p ≤ 0.01). Consequently, XAGE1B (significantly expressed gene in exosomes) was analyzed by RTqPCR in 189 paired fresh-frozen tumor and normal tissue samples of resected NSCLC. Prognostic value was assessed by Kaplan‐Meier curves (log rank‐test), considering significant p < 0.05.

Results

Exosomal characterization through NTA and electron microscopy showed an exosomes size from 108-125 nm. Specific markers were detected by IB and FC. Mutational analysis of EGFR and RAS genes in exosomes shown the same pattern displayed by the origin cells. Transcriptomic analysis showed that the expression of mRNAs, miRNAs and precursors were significantly different between 3D and 2D-derived exosomes. A pathway enrichment was carried out to know in which processes (cancer-related) are involved. Significant differential expression was also found between ADC vs SCC–derived exosomes. Concretely, XAGE1B is overexpressed in ADC-derived exosomes (p = 0.00003). This overexpression in ADC was validated in NSCLC cohort (p = 0.002). Furthermore, it has revealed a significant association with patient prognosis for overall survival in the ADC group (n = 74)(OS 49.8 vs. NR months, p = 0.043).

Conclusions

Differences in exosomal cargo have been observed between: i) 3D vs. 2D cultures and ii) ADC vs. SCC. In addition, the same mutational pattern was detected in exosomes as compared with parental cells. Therefore, exosomes can be a useful source of biomarkers in NSCLC analysis. Supported by grant GV/2018/026, PI18/00266, & AECC Valencia.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Fundación de Investigación del Hospital General Universitario de Valencia.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.