Extracellular vesicles miR-574-5p and miR-181a-5p as prognostic markers in NSCLC patients treated with Nivolumab

Author:

Genova Carlo1,Marconi Silvia2,Chiorino Giovanna3,Guana Francesca3,Ostano Paola3,Santamaria Sara1,Rossi Giovanni4,Vanni Irene5,Longo Luca2,Tagliamento Marco5,Zullo Lodovica5,Bello Maria Giovanna Dal2,Dellepiane Chiara4,Alama Angela2,Rijavec Erika6,Ludovini Vienna7,Barletta Giulia4,Passiglia Francesco8,Metro Giulio7,Baglivo Sara7,Chiari Rita9,Rivoltini Licia10,Biello Federica11,Baraibar Iosune12,Gil-Bazo Ignacio12,Novello Silvia8,Grossi Francesco13,Coco Simona2

Affiliation:

1. UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino

2. UOS Tumori Polmonari, IRCCS Ospedale Policlinico San Martino

3. Fondazione Edo ed Elvo Tempia

4. UOC Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino

5. Università degli Studi di Genova

6. Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico

7. Santa Maria della Misericordia Hospital

8. University of Turin, S. Luigi Gonzaga Hospital

9. Azienda Ospedaliera "Ospedali Riuniti Marche nord"

10. Fondazione IRCCS Istituto Nazionale dei Tumori

11. Azienda Ospedaliera Universitaria Maggiore della Carità

12. Clínica Universidad de Navarra

13. ASST dei Sette Laghi

Abstract

Abstract

Background Immune checkpoint inhibitors (ICIs) have revolutionized the management of advanced non-small cell lung cancer (NSCLC), although patient survival is still unsatisfactory. Accurate predictive markers capable of personalizing the treatment of patients with NSCLC are still lacking. Circulating extracellular vesicles involved in cell-to-cell communications through miRNAs (EV-miRs) transfer are promising markers. Methods Plasma from 245 patients with advanced NSCLC who received nivolumab as second-line therapy was collected and analyzed. EV-miRnome was profiled on 174/245 patients by microarray platform and selected EV-miRs were validated by qPCR. A prognostic model combining EV-miR and clinical variables was built using stepwise Cox regression analysis and tested on an independent patient cohort (71/245). EV-PD-L1 gene copy number was assessed by digital PCR. For 54 patients with disease control, EV-miR changes at best response versus baseline were investigated by microarray and validated by qPCR. Results EV-miRNome profiling at baseline identified two EV-miR (miR-181a-5p, miR-574-5p) that, combined with performance status, are capable of discriminating patients unlikely from those that are likely to benefit from immunotherapy (median overall survival of 4 months or higher than 9 months, respectively). EV-PD-L1 digital evaluation reported higher baseline copy number in patients at increased risk of mortality, without improving the prognostic score. Best response EV-miRNome profiling selected six deregulated EV-miRs (miR19a-3p, miR-20a-5p, miR-142-3p, miR-1260a, miR-1260b, miR-5100) in responding patients. Their longitudinal monitoring highlighted a significant downmodulation already in the first treatment cycles, which lasted more than six months. Conclusions Our results demonstrate that EV-miRs are promising prognostic markers for NSCLC patients treated with nivolumab.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3