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E-Poster Display

1277P - An exosomal miRNA signature as predictor of benefit from immune checkpoint inhibitors in non-small cell lung cancer

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Carlo Genova

Citation

Annals of Oncology (2020) 31 (suppl_4): S754-S840. 10.1016/annonc/annonc283

Authors

C. Genova1, S. Coco1, G. Rossi1, L. Longo1, G. Chiorino2, P. Ostano2, F. Guana2, G. Metro3, S. Baglivo3, V. Ludovini3, I. Vanni4, E. Rijavec5, F. Biello6, M.G. Dal Bello1, M. Tagliamento1, C. Dellepiane1, A. Alama1, E. Bennicelli1, R. Chiari7, F. Grossi5

Author affiliations

  • 1 Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 - Genova/IT
  • 2 Laboratory Of Cancer Genomics, Fondazione Edo ed Elvo Tempia, Biella/IT
  • 3 Medical Oncology, Santa Maria della Misericordia Hospital, Azienda Ospedaliera di Perugia, 06129 - Perugia/IT
  • 4 Genetic Of Rare Cancers, Department of Internal Medicine and Medical Specialties (DIMI),University of Genoa, genova/IT
  • 5 Medical Oncology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano/IT
  • 6 Medical Oncology Unit, Azienda Ospedaliera Universitaria Maggiore della Carità, 28100 - Novara/IT
  • 7 Medical Oncology, Ospedali Riuniti Padova Sud "M. Teresa di Calcutta", ULSS6 Euganea, Padova/IT

Resources

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Abstract 1277P

Background

While immune checkpoint inhibitors (ICIs) have revolutionized the management of advanced non-small cell lung cancer (NSCLC), the identification of reliable predictive factors is still a partially unmet need. Numerous studies have shown the potential of miRNAs as biomarkers for diagnosis, prognosis, and prediction of response to therapy. Tumor-derived miRNAs have been identified in several body fluids and within extracellular vesicles such as exosomes (Exo). We aimed at identifying a prognostic signature of Exo-miRNAs in NSCLC patients treated with nivolumab.

Methods

We included 174 patients who received nivolumab in second or subsequent lines. For each, a plasma sample was collected at baseline to isolate Exo-miRNAs that were profiled using the agilent microarray platform, containing 2,549 miRNAs. Patients were then randomly divided for 10 times into a training (n=125) and a validation (n=49) set, and 10 penalized Cox regression models using the LASSO method were built on each different training set and applied to the corresponding validation sets.

Results

Overall, 82 patients (47.3%) underwent at least two treatment lines before nivolumab. The miRNome profile identified two miRNAs (miR-208a-5p and miR-574-5p) overexpressed in patients with a survival time lower than 9 months (adjusted p-value=0.03) that were consistently retained by the penalized Cox regression models and were positively associated with poor survival in each validation set. Notably, by dividing the total cohort of patients into two groups according to the median value of the combined expression of the two Exo-miRNAs, the overall survival Kaplan-Meier curves were significantly different (p-value=0.0001). The in-silico prediction of the genes targeted by the two miRNAs suggested two main pathways already described in ICI resistance mechanisms: the TGF beta and the antigen processing and presentation pathways.

Conclusions

Our miRNome profile identified 2 miRNAs that could serve as a signature to identify NSCLC patient subgroups with different benefits from nivolumab. This study was supported by Bristol-Myers Squibb (CA209-828-BMS) and the Italian Ministry of Health (CO-2016-02361470).

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Bristol-Myers Squibb; Italian Ministry of Health.

Disclosure

C. Genova: Honoraria (self): AstraZeneca; Honoraria (self): BMS; Honoraria (self): Boehringer Ingelheim; Honoraria (self): MSD; Honoraria (self): Roche. All other authors have declared no conflicts of interest.

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