02.12.2016 Views

Journal Thoracic Oncology

WCLC2016-Abstract-Book_vF-WEB_revNov17-1

WCLC2016-Abstract-Book_vF-WEB_revNov17-1

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Abstracts <strong>Journal</strong> of <strong>Thoracic</strong> <strong>Oncology</strong> • Volume 12 Issue S1 January 2017<br />

controls. Synthesis of cDNA and qPCR were carried out using miRCURY LNA TM<br />

Universal RT microRNA PCR with LNA TM enhanced PCR Primers (Exiqon).<br />

Statistical calculations were executed on 11 samples as a Pre-eliminary data.<br />

Results: Results are shown in the following table.<br />

mir-19b and mir-320 was observed whereas mir-15b and mir-197 were upregulated<br />

in the conversion of macrophages into M2 phenotype. Modulation<br />

of miRNAs in immune and stromal cells was consistent with up-regulation of<br />

the same miRNAs observed in plasma samples. Conclusion: Our findings on<br />

the origin of circulating miRNAs support the conclusion that plasma miRNAs<br />

are heterogeneous and secreted by different cellular components of lung<br />

microenvironment rather than by tumor cells. In particular, we demonstrated<br />

that a pro-tumorigenic and immunosuppressive microenvironment<br />

contributes to the de-regulation of miRNAs observed in plasma of lung cancer<br />

patients.<br />

Keywords: lung cancer, microRNA, microenvironment<br />

Conclusion: We assed level of 5 different miRNAs circulating in the blood of<br />

NSCLC patients using qPCR. Our initial results show that different miRNA can<br />

be used to stratify patients and miRNA. Expression of hsa-miR-451a is<br />

decreasing in NSCLC versus negative control. Interestingly up-regulated<br />

hsa-miR-660-5p was recently described as a prognostic marker in breast<br />

cancer but our result preliminary results showed constant decrease in<br />

hsa-miR-660-5p expression in all patients’ groups vs controls. The<br />

examination on the bigger cohort of patients is necessary to receive a more<br />

statistically significant and conclusive data.<br />

Keywords: cell-free microRNA, biomarkers, miRNA expression profiling,<br />

NSCLC.<br />

POSTER SESSION 2 – P2.01: BIOLOGY/PATHOLOGY<br />

ANALYSIS OF RNA –<br />

TUESDAY, DECEMBER 6, 2016<br />

P2.01-017 CIRCULATING MIRNAS IN LUNG CANCER ARE<br />

ASSOCIATED TO PRO-TUMORIGENIC AND IMMUNOSUPPRESSIVE<br />

MICROENVIRONMENT<br />

Orazio Fortunato 1 , Cristina Borzi 1 , Giovanni Centonze 1 , Massimo Milione 2 ,<br />

Davide Conte 1 , Mattia Boeri 1 , Carla Verri 1 , Linda Calzolari 1 , Francesca<br />

Andriani 1 , Luca Roz 1 , Veronica Huber 3 , Agata Cova 3 , Chiara Camisaschi 3 , Chiara<br />

Castelli 3 , Licia Rivoltini 3 , Claudio Tripodo 4 , Ugo Pastorino 5 , Gabriella Sozzi 1<br />

1 Tumor Genomics Unit, Department of Experimental <strong>Oncology</strong> and Molecular<br />

Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori Int, Milano/Italy,<br />

2 Anatomic Pathology Unit, Department of Pathology and Laboratory Medicine,<br />

Fondazione IRCCS Istituto Nazionale Dei Tumori Int, Milan/Italy, 3 Unit of<br />

Immunotherapy of Human Tumors, Department of Experimental <strong>Oncology</strong> and<br />

Molecular Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori Int, Milano/<br />

Italy, 4 Tumor Immunology Unit Department of Health Science, Human Pathology<br />

Section, University of Palermo School of Medicine, Palermo/Italy, 5 <strong>Thoracic</strong><br />

Surgery, Fondazione IRCCS Istituto Nazionale Dei Tumori Int, Milano/Italy<br />

Background: We previously reported the identification of diagnostic miRNA<br />

signatures in plasma samples of lung cancer patients detected by low dose<br />

computed tomography (LDCT) screening. Circulating miRNAs are released<br />

into the bloodstream by different mechanisms such as passive leakage from<br />

damaged cells or active secretion through extracellular-vesicles or protein<br />

complexes Methods: To evaluate the potential origin and the release of the<br />

24 miRNAs of the diagnostic signature we analyzed their expression by realtime<br />

or digital PCR in both cells and conditioned medium (CM) from cancer<br />

cell and different cell types of the lung microenvironment. Lung tissues and<br />

cell-blocks were analyzed by miRNAs in situ hybridization (ISH). Modulation<br />

of miRNAs after in vitro treatments known to induce changes associated<br />

with cancer progression, in different cell types was assessed and correlated<br />

to changes observed in circulating miRNAs signatures. Results: 24-miRNAs<br />

analysis showed higher abundance in specific cellular components such as mir-<br />

145 in fibroblasts, mir-126 in endothelial cells, mir-133a in skeletal muscle cells<br />

or mir-451 and 142-3p in hematopoietic cells. Generally, tumor cells showed<br />

lower levels of miRNAs compared to bronchial epithelial cells. MiRNAs specific<br />

localization in lung tissue was confirmed by ISH. We observed that mir-451<br />

is specifically expressed in lung interstitial alveolar walls while mir-126 by<br />

endothelial cells outside the tumor bulk; miR-145 is characteristic of fibroblast<br />

and muscle cells and miR-142-3p of hematopoietic cells, fibroblast and muscle<br />

whereas mir-21 is over-expressed in the tumor. The analysis of miRNAs in<br />

CM showed that miRNAs secretion is correlated with cellular expression for<br />

most cell types (Pearson correlation range: 0.41-0.80). Interestingly, platelets<br />

and granulocytes were the components that mostly secreted miRNAs. In<br />

vitro experiments showed that endothelial cells under hypoxic condition<br />

up-regulate mir-126 and that mir-145 was up-regulated and secreted in lung<br />

cancer-associated compared to normal fibroblasts. Interestingly, during<br />

conversion of T lymphocytes into T regulatory cells up-regulation of mir-15b,<br />

POSTER SESSION 2 – P2.01: BIOLOGY/PATHOLOGY<br />

ANALYSIS OF RNA –<br />

TUESDAY, DECEMBER 6, 2016<br />

P2.01-018 DIFFERENTIAL MICRORNA EXPRESSION PROFILE<br />

BETWEEN YOUNG AND OLD LUNG ADENOCARCINOMA PATIENTS<br />

Mirella Giordano 1 , Laura Boldrini 1 , Adele Servadio 1 , Marco Lucchi 1 , Franca<br />

Melfi 2 , Alfredo Mussi 3 , Gabriella Fontanini 1<br />

1 Department of Surgical, Medical, Molecular Pathology and Critical Area, University<br />

of Pisa, Pisa/Italy, 2 Unit of <strong>Thoracic</strong> Surgery, University Hospital of Pisa, Pisa/Italy,<br />

3 Department of Surgical Medical Molecular Pathology and Critical Care, University<br />

Hospital of Pisa, Pisa/Italy<br />

Background: Lung cancer is the leading cause of cancer related mortality and<br />

approximately 80% is represented by non-small cell lung cancer (NSCLC). In<br />

the last decade, age of patients at diagnosis has decreased, with an incidence<br />

of approximately 13.4% in patients under 50 years. Previous studies have<br />

hypotesized that lung cancer in young patients could represent a separated<br />

clinicalpathological entity, however it is still controversial whether younger<br />

patients have a different outcome compared with their older counterparts.<br />

MicroRNAs (miRNAs) have recently been defined to play a key role in cancer<br />

pathogenesis and their aberrant expression has been suggested as a potential<br />

biomarker of prognosis in lung adenocarcinoma. To understand the molecular<br />

features of young and old adenocarcinoma patients, we investigated the<br />

expression levels of a panel of miRNAs selected from recent literature.<br />

Methods: Thirty-five lung ADC from patients under 50 years old were enrolled<br />

as the younger group and thirty-five ADC older than 50 years were collected<br />

as the older group. After miRNA isolation from formalin-fixed and paraffinembedded<br />

tumor tissues, the expression levels of 30 miRNAs were analyzed<br />

by NanoString technology and compared between the two groups. Survival<br />

data were used to assess the prognostic impact of miRNAs. The software<br />

miRgator v3.0 was used to predict the putative pathways targeted by<br />

miRNAs. Results: The analysis revealed that 7 miRNAs (miR-25-3p, miR-29c-<br />

3p, miR-33a-5p, miR-144-3p, miR-153-3p, miR-342-5p and miR-485-3p) were<br />

differently expressed in the two groups (Mann-Whitney U test, p

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!