Klin Padiatr 2020; 232(02): 79
DOI: 10.1055/s-0040-1701810
S-I
Session I: Translational Biology
© Georg Thieme Verlag KG Stuttgart · New York

RNA-seq analysis of plasmatic exosomal miRNAs in pediatric Hodgkin Lymphoma

F Lovisa
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
2   Unit of Onco-hematology, stem cell transplant and gene therapy, Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy
,
E Gaffo
3   Department of Molecular Medicine, University of Padova, Padova, Italy
,
C Elia
4   Pediatric Radiotherapy and AYA Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Aviano, Italy
,
A Garbin
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
2   Unit of Onco-hematology, stem cell transplant and gene therapy, Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy
,
I Gallingani
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
2   Unit of Onco-hematology, stem cell transplant and gene therapy, Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy
,
CC Damanti
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
2   Unit of Onco-hematology, stem cell transplant and gene therapy, Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy
,
E Carraro
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
,
Re V De
5   Department of Research and Advanced Tumour Diagnostics, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Immunopathology and Tumour Biomarkers Unit/Bio-proteomics Facility, Aviano, Italy
,
L Caggiari
5   Department of Research and Advanced Tumour Diagnostics, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Immunopathology and Tumour Biomarkers Unit/Bio-proteomics Facility, Aviano, Italy
,
O Repetto
5   Department of Research and Advanced Tumour Diagnostics, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Immunopathology and Tumour Biomarkers Unit/Bio-proteomics Facility, Aviano, Italy
,
Zorzi M De
5   Department of Research and Advanced Tumour Diagnostics, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Immunopathology and Tumour Biomarkers Unit/Bio-proteomics Facility, Aviano, Italy
,
A Sala
6   Department of Paediatrics, Ospedale San Gerardo, University of Milano-Bicocca, Fondazione MBBM, Monza, Italy
,
S Buffardi
7   Paediatric Haemato-Oncology department, Santobono-Pausilipon Children’s Hospital, Napoli, Italy
,
L Vinti
8   Department of Pediatric Haemato-Oncology, IRCCS Ospedale Bambino Gesù, Sapienza University of Rome, Roma, Italy
,
M Pillon
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
,
S Bortoluzzi
3   Department of Molecular Medicine, University of Padova, Padova, Italy
9   CRIBI Interdepartmental Research Center for Innovative Biotechnologies (CRIBI), University of Padova, Padova, Italy
,
M Mascarin
4   Pediatric Radiotherapy and AYA Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, National Cancer Institute, Aviano, Italy
,
L Mussolin
1   Department of Women’s and Children’s Health, University of Padova, Padova, Italy
2   Unit of Onco-hematology, stem cell transplant and gene therapy, Istituto di Ricerca Pediatrica Città della Speranza, Padova, Italy
› Author Affiliations
Further Information

Publication History

Publication Date:
18 March 2020 (online)

 
 

Introduction Hodgkin lymphoma (HL) represents around ~10% of all cases of lymphoid neoplasms. Although current risk-adapted and response based treatment approaches can cure >90% of the children, treatment of relapsed/resistant patients remains a challenge [1].

In the last years, a large body of evidence proved the functional involvement of exosomes in cancer progression and spreading, induction of angiogenesis, as well as in chemoresistance and immune response evasion during tumor development [2].

The aim of our study is to characterize miRNA in plasmatic exosomes of pediatric HL patients, for the identification of new non-invasive biomarkers and disease mechanisms, which might be used to improve diagnosis, treatment and prognosis of the affected children.

Methods The study cohort included 36 HL patients treated according to EuroNet-PHL-C2 trial and 7 plasma samples from healthy donors (D) as controls. Exosomes were isolated from 0.5 ml plasma at diagnosis by exoEasy Midi Kit (Qiagen) and validated by Nanoparticle Tracking Analysis (NTA, Malvern Nanosight), Atomic Force Microscopy (ATM) and Western Blotting. Total exosomal RNA was obtained using exoRNeasyMidi Kit (Qiagen) and sequencing libraries were prepared from 10 ng RNA by using the NEBNext® Multiplex Small RNA Library Prep Kit for Illumina® (New England Biolabs). RNA-seq analysis was performed on an Illumina HiSeq 4000 with target depth of 15 M reads per sample. RNA-seq data were analyzed using the software miR&moRe [3]. Differential expression analyses were performed with DESeq2 [4].

Results Overall, >200 expressed miRNAs were identified. Comparing HL and D exosome samples, 11 differentially expressed miRNAs were disclosed. When patients were grouped based on Early Response Assessment (ERA), 15 miRNAs differentially expressed were identified between patients with adequate and inadequate response.

Conclusion Differentially expressed miRNAs will be prioritized based on their functional significance in cancer and/or previous reports in lymphoid malignancies. The most promising candidates will be validated by quantitative real-time PCR in an extended cohort of both HL and D and functionally characterized by in vitro experiments.

These results are expected to provide insights on the role of exosomal miRNAs in HL disease aggressiveness and response to therapy.


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  • References

  • 1 Farruggia P, Puccio G, Sala A, Todesco A, Buffardi S, Garaventa A, Bottigliero G, Bianchi M, Zecca M, Locatelli F, Pession A, Pillon M, Favre C, D’Amico S, Provenzi M, Trizzino A, Zanazzo GA, Sau A, Santoro N, Murgia G, Casini T, Mascarin M, Burnelli R. Italian AIEOP Association of Pediatric Hematology and Oncology and Hodgkin Lymphoma Working Group. The prognostic value of biological markers in paediatric Hodgkin lymphoma. Eur J Cancer. 2016; Jan; 52: 33-40 .
  • 2 Mashouri L, Yousefi H, Aref AR, Ahadi AM, Molaei F, Alahari SK.. Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance. Mol Cancer. 2019; Apr 2; 18 (01) : 75 .
  • 3 Bortoluzzi S, Bisognin A, Biasiolo M, Guglielmelli P, Biamonte F, Norfo R, Manfredini R, Vannucchi AM. ; AGIMM (Associazione Italiana per la Ricerca sul Cancro–Gruppo Italiano Malattie Mieloproliferative) Investigators. Characterization and discovery of novel miRNAs and moRNAs in JAK2V617F-mutated SET2 cells. Blood. 2012; Mar 29; 119 (13) : e120-30 .
  • 4 Love MI, Huber W, Anders S.. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15 (12) : 550 .

  • References

  • 1 Farruggia P, Puccio G, Sala A, Todesco A, Buffardi S, Garaventa A, Bottigliero G, Bianchi M, Zecca M, Locatelli F, Pession A, Pillon M, Favre C, D’Amico S, Provenzi M, Trizzino A, Zanazzo GA, Sau A, Santoro N, Murgia G, Casini T, Mascarin M, Burnelli R. Italian AIEOP Association of Pediatric Hematology and Oncology and Hodgkin Lymphoma Working Group. The prognostic value of biological markers in paediatric Hodgkin lymphoma. Eur J Cancer. 2016; Jan; 52: 33-40 .
  • 2 Mashouri L, Yousefi H, Aref AR, Ahadi AM, Molaei F, Alahari SK.. Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance. Mol Cancer. 2019; Apr 2; 18 (01) : 75 .
  • 3 Bortoluzzi S, Bisognin A, Biasiolo M, Guglielmelli P, Biamonte F, Norfo R, Manfredini R, Vannucchi AM. ; AGIMM (Associazione Italiana per la Ricerca sul Cancro–Gruppo Italiano Malattie Mieloproliferative) Investigators. Characterization and discovery of novel miRNAs and moRNAs in JAK2V617F-mutated SET2 cells. Blood. 2012; Mar 29; 119 (13) : e120-30 .
  • 4 Love MI, Huber W, Anders S.. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15 (12) : 550 .