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Journal Thoracic Oncology

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

POSTER SESSION 1 - P1.05: EARLY STAGE NSCLC<br />

TRANSLATIONAL RESEARCH & BIOMARKERS –<br />

MONDAY, DECEMBER 5, 2016<br />

P1.05-021 CIRCRNAS: POTENTIAL NOVEL BIOMARKERS FOR THE<br />

EARLY DETECTION OF LUNG CANCER<br />

Ruby Lin 1 , Glen Reid 2 , Luciano Mutti 3 , Anthony Ryan 4 , Siobhan Nicholson 5 ,<br />

Niamh Leonard 5 , Vincent Young 6 , Ronan Ryan 6 , Stephen Finn 7 , Sinead Cuffe 8 ,<br />

Steven Gray 9<br />

1 University of Sydney, Concord/ACT/Australia, 2 Asbestos Diseases Research<br />

Institute, Sydney/Australia, 3 School of Environment & Life Sciences, University of<br />

Salford, Salford/United Kingdom, 4 Dept. of Clinical Medicine, Trinity Translational<br />

Medicine Institute (Ttmi), Dublin/Ireland, 5 Histopathology, Labmed Directorate,<br />

Dublin/Ireland, 6 Cardio-<strong>Thoracic</strong> Surgery, Sacc Directorate, Dublin/Ireland, 7 Dept.<br />

of Histopathology and Morbid Anatomy, Trinity College Dublin, Dublin/Ireland,<br />

8 <strong>Oncology</strong>, Hope Directorate, Dublin/Ireland, 9 <strong>Thoracic</strong> <strong>Oncology</strong> Research Group,<br />

Labmed Directorate, Dublin/Ireland<br />

Background: Lung cancer is the leading cancer killer globally. Cancers such as<br />

colon, breast, and prostate all have relatively reliable early detection tests.<br />

In contrast, lung cancer does not. If caught early, lung cancer has a much<br />

better prognosis. Non-invasive or minimally invasive tools to improve early<br />

detection of lung cancer represents a critical unmet need. Analysis of the<br />

human transcriptome indicates that a mere 2% of the genome corresponds<br />

to protein coding transcripts, yet ~ 75% of the genome is transcribed. It is<br />

now well established that these non-coding RNAs (ncRNAs) play important<br />

regulatory functions within the cell and their expression are often altered in<br />

cancer. Circular RNAs (circRNAs) are a species of ncRNAs. They are abundant,<br />

conserved and demonstrate cell-type specific expression patterns. Moreover,<br />

they are extremely stable with half-life’s greater than 48 hours, are resistant<br />

to degradation by RNA exonucleases, and have been shown to play important<br />

roles in cancer. Taken together these suggest that circRNAs could potentially<br />

be important biomarkers in early lung cancer diagnosis. Methods: Total RNAs<br />

isolated from a panel of matched normal/tumour NSCLC adenocarcinoma<br />

(Stage IA/IB) samples (n=6) were probed for circRNAs using the Arraystar<br />

circRNA microarray. Survival was assessed on linear mRNAs with associated<br />

circRNAs using KM-Plot. Results: Interim analysis of the data has identified<br />

n=206 circRNAs with a 2-fold difference in expression between their<br />

matched normal vs. tumour counterparts. Principal Component Analysis<br />

(PCA) demonstrated a clear separation of the samples (Tumour vs. Normal).<br />

Self-Organizing Maps (SOMs) analysis generated distinctive SOMS clusters<br />

of circRNAs, while associated linear pathway enrichment for microRNA<br />

and transcriptional binding motifs identified several additional potential<br />

networks. Moreover, an analysis of linear mRNAs associated with 10 circRNAs<br />

with altered expression in adenocarcinomas found that these mRNAs were<br />

linked to overall survival, and that the majority were adenocarcinoma specific.<br />

Conclusion: Altered levels of a number of circRNAs were associated with lung<br />

adenocarcinoma. A separate cohort of squamous cell carcinomas is currently<br />

being assessed for circRNAs. At present we are validating the expression of<br />

these circRNAs in a larger cohort of specimens, and assessing whether or not<br />

these are detectable in plasma/serum from the same individuals. Overall,<br />

circRNAs may represent novel potential biomarkers for the detection of<br />

NSCLC, and may provide additional critical basic knowledge regarding the<br />

development and biology of NSCLC.<br />

Keywords: circRNA, biomarker, Early Detection<br />

POSTER SESSION 1 - P1.05: EARLY STAGE NSCLC<br />

TRANSLATIONAL RESEARCH & BIOMARKERS –<br />

MONDAY, DECEMBER 5, 2016<br />

P1.05-022 CIRCULATING TUMOR CELL ISOLATION TO MONITOR<br />

NSCLC PATIENTS OVER THE COURSE OF TREATMENT<br />

Julia Herrmann 1 , Jens Pfannkuche 2 , Thomas Lesser 1<br />

1 Srh Wald-Klinikum Gera, Gera/Germany, 2 Gilupi GmbH, Potsdam/Germany<br />

Background: Compared to the investigation of the primary tumor or a biopsy<br />

taken from a distant metastasis, the investigation of a patient’s blood is<br />

relatively simple, less invasive and can be performed repeatedly. Thus, CTC<br />

(circulating tumor cells) investigation can be used as a real-time marker for<br />

staging, disease progression and therapy responsiveness. Cancer mortality<br />

might be reduced dramatically when the disease and its metastatic spread<br />

are detected and characterized early and can therefore be treated in an<br />

optimal fashion. The GILUPI CellCollector ® offers medical personnel at any<br />

point-of-care with the unique opportunity to enrich these CTCs in vivo.<br />

Here, we conducted a study using this effective device, to monitor CTC<br />

counts before as well as on different time points after surgery in non-small<br />

cell lung cancer (NSCLC) patients and further to characterize the CTCs on a<br />

molecular level. Methods: In total, 20 NSCLC patients (different stages) were<br />

screened for CTCs at different time points: preoperative, 30 minutes after<br />

tumor resection, 1 week postoperative as well as in 3-monthly intervals up<br />

to 2 years. In addition, 1 patient with a benign lung disease were included<br />

in this study. Results: CTCs were isolated independent from tumor stages<br />

and even in quite early cases CTCs could be detected. Moreover, a difference<br />

between CTC occurrence before and after surgery was seen and a correlation<br />

between CTC enumeration and clinical lack of recurrence could be detected.<br />

Conclusion: The GILUPI CellCollector® overcomes blood volume limitations of<br />

other diagnostic approaches and thereby increases the diagnostic sensitivity<br />

of CTC analysis. Future implementation into clinical practice may improve<br />

early detection, prognosis and therapy monitoring of cancer patients. Besides<br />

enumeration, captured CTCs are ready for molecular characterization and will<br />

help to establish more personalized treatment regiments since knowledge of<br />

the molecular make-up of the cancer cells to be defeated is an indispensable<br />

prerequisite to use targeted therapies efficiently.<br />

POSTER SESSION 1 - P1.05: EARLY STAGE NSCLC<br />

TRANSLATIONAL RESEARCH & BIOMARKERS –<br />

MONDAY, DECEMBER 5, 2016<br />

P1.05-023 INDUCTION OF PATIENT-DERIVED XENOGRAFT<br />

FORMATION AND CLINICAL SIGNIFICANCE FOR PD-L1 IN LUNG<br />

CANCER PATIENTS<br />

Panpan Zhang, Yuanyuan Ma, Jiahui Si<br />

Department of <strong>Thoracic</strong> Surgery Ii, Peking University Cancer Hospital & Institute,<br />

Beijing/China<br />

Background: The relevance of programmed cell death ligand 1 (PD-L1)<br />

to patient-derived xenograft (PDX) formation and clinicopathological<br />

characteristics in early stage lung cancer was studied Methods: Cell counting<br />

kit-8 and flow cytometry were carried out to examine proliferation and<br />

apoptosis in PC9 and H520 cells transfected with siRNAs. Nod-scid mice were<br />

used to establish PDX. Immunohistochemistry was done to investigate PD-L1<br />

expression in tumor tissues. Results: Proliferation was reduced and apoptosis<br />

was induced when PD-L1 was inhibited in the cells. Higher PD-L1 expression<br />

rate was observed in the primary tumors with PDX formation than in the<br />

tumors without PDX formation. Moreover, PD-L1 was found to be related to<br />

smoking, histological types, stages and overall survival in 209 of lung cancer<br />

patients. Conclusion: This study suggests that PD-L1 promotes PDX formation<br />

ability and is an independent prognostic marker for the early stage lung<br />

cancer patients.<br />

Keywords: PD-L1, Patient-derived xenograft, lung cancer, clinical significance<br />

POSTER SESSION 1 - P1.05: EARLY STAGE NSCLC<br />

TRANSLATIONAL RESEARCH & BIOMARKERS –<br />

MONDAY, DECEMBER 5, 2016<br />

P1.05-024 PREOPERATIVE NEURON-SPECIFIC ENOLASE TO<br />

ALBUMIN RATIO IS A PROGNOSTIC BIOMARKER FOR PATIENTS<br />

WITH OPERABLE NON-SMALL-CELL LUNG CANCER<br />

Hong Ren 1 , Xiang Li 2 , Boxiang Zhang 1 , Yiwen Zhang 1 , Litao Yang 1 , Guodong<br />

Xiao 1 , Xiao Gao 1 , Guanghong Huang 1 , Peili Wang 1 , Huangzhen Wang 1 ,<br />

Chengcheng Yang 1 , Sida Qin 1<br />

1 Department Two of <strong>Thoracic</strong> Surgery, The First Affiliated Hospital of Xi’An Jiaotong<br />

University, Xi’An/China, 2 The First Affiliated Hospital of Xi’An Jiaotong University,<br />

Xi’An/China<br />

Background: Neuron-specific Enolase (NSE) is a widely used tumor biomarker<br />

in small-cell lung cancer (SCLC) diagnosis, and serum albumin (Alb) levels are<br />

commonly used as indicators of the nutritional status of cancer patients.<br />

However, the prognostic value of these markers in combination has not been<br />

examined. This study was designed to explore the value of the combination<br />

between NSE and Alb in non-small-cell lung cancer (NSCLC). Methods: We<br />

retrospectively evaluated the prognostic value of the preoperative NSE<br />

to albumin ratio (NAR) in 319 patients with operable NSCLC. We analyzed<br />

associations among the NAR, clinicopathological characteristics, and<br />

inflammatory biomarkers. Univariate and multivariate analyses were<br />

performed to identify the clinicopathological characteristics associated<br />

with OS. Furthermore, we compared the prognostic value of the NAR with<br />

other established prognostic indexes by evaluating the area under the curves<br />

(AUC). Results: The optimal NAR cutoff level was found to be 3.2×10 -7 . We<br />

found that a higher NAR was associated with more advanced TNM staged<br />

cancers (P=0.041) and higher tumor stage (P=0.011).The NAR was also<br />

associated with the inflammatory biomarker albumin/globulin ratio (AGR,<br />

P=0.032), but not the neutrophil/lymphocyte ratio (NLR, P=0.295) or platelet/<br />

lymphocyte ratio (PLR, P=0.260). In multivariate analyses, the NAR was an<br />

independent prognostic factor for NSCLC patients (P

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