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C. Wright



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    P2.06 - Poster Session 2 - Prognostic and Predictive Biomarkers (ID 165)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Biology
    • Presentations: 1
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      P2.06-017 - Long non coding RNAs (lncRNAs) are dysregulated in malignant pleural mesothelioma (MPM) (ID 1524)

      09:30 - 09:30  |  Author(s): C. Wright

      • Abstract

      Background
      Malignant Pleural Mesothelioma (MPM) is an aggressive disease, often diagnosed at an advanced stage. It is characterized by a long latency period and prior asbestos exposure. Currently accurate diagnosis of MPM is difficult due to the lack of sensitive biomarkers, and despite minor improvements in treatment, median survival rates rarely exceed 12 months. Accumulating evidence suggests that aberrant expression of long non-coding RNAs (lncRNAs) plays an important functional role in cancer biology. LncRNAs are a class of recently discovered non-protein coding RNAs >200 nucleotides in length with a role in regulating transcription. The aims of this study were to characterize the expression and function of these lncRNAs in MPM.

      Methods
      To identify novel lncRNAs involved in MPM, microarray profiling was performed on five cell lines - the immortalized normal mesothelial cell line (MeT-5A) and four MPM lines (two epithelioid H28 and H226 and two biphasic MM05 and MSTO) using Invitrogen’s NCode lncRNA microarrays. These allow simultaneous assessment of mRNA and lncRNA content. High priority candidate lncRNAs were selected on the basis of statistical (P<0.05) and biological (>3-fold difference) significance. Expression of high priority candidates were technically validated using RT-qPCR, and biologically validated in three independent test sets. Pathway analyses were performed to interrogate the relationship between lncRNA and mRNA expression. Cell proliferation and colony formation assays were used to investigate lncRNA function.

      Results
      Microarray profiling and real-time qPCR validation identified 9 lncRNA candidates with significant differential expression in MPM compared with normal mesothelial cells Validation in three independent test sets by RT-qPCR analysis demonstrated consistent up-regulation of four of these lncRNAs. Receiver Operating Curve analysis showed that two of these candidates were able to separate benign pleura and MPM with high sensitivity and specificity. In addition, high expression of AK054908 was associated with nodal metastases with lower levels of AK130275 and AF268386 observed in patients receiving induction chemotherapy. Cases with higher EF177379 levels also demonstrated a trend to improved survival. The majority of mRNAs co-expressed with candidate lncRNAs were associated with cellular and metabolic processes including cell cycle, cell death and apoptosis. In functional studies, siRNA knockdown of AK130275 showed suppression of cell growth and colony formation in MPM cells with moderate changes observed following knockdown of EF177379.

      Conclusion
      To our knowledge this is the first systematic study of lncRNA expression profiles in MPM. We have found that lncRNA expression profiles can distinguish malignant mesothelium from normal pleural tissue, and that some lncRNAs are associated with nodal metastasis and long term survival. We also demonstrate that lncRNAs have potential prognostic and diagnostic utility with functional roles in regulating cell growth. Further work is required to evaluate whether these lncRNAs are capable of differentiating mesothelioma from lung cancer and benign asbestos-related diseases, and to reveal their specific functions in MPM pathogenesis.

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    P3.01 - Poster Session 3 - Cancer Biology (ID 147)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Biology
    • Presentations: 1
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      P3.01-011 - Heterogeneity in tumour content and necrosis in primary lung cancers: Implications for molecular analysis (ID 3326)

      09:30 - 09:30  |  Author(s): C. Wright

      • Abstract

      Background
      Lung adenocarcinoma (AC) and squamous cell carcinoma (SCC) tumours have a large variance in tumour cell content. This heterogeneity is a concern for genomic studies, as it is difficult to distinguish mutational differences between tumour and non-tumour if low percentage tumour is used for analysis. In addition to this, tumour samples are affected by the amount of necrosis present, as the overall number of viable cells is decreased. We assessed tumour and necrotic content in lung tumour specimens from AC and SCC patients and aimed to identify possible implications for the suitability of these samples in molecular characterisation studies using next generation sequencing technology.

      Methods
      Lung tissue specimens were collected during the period of 1990 to 2013 from patients at The Prince Charles Hospital who consented to donate their surgically resected lung tissues for research. Tissues were macroscopically dissected, snap frozen in liquid nitrogen and stored at -80°C. A tissue section was taken and stained with haematoxylin and eosin (H&E) for two pathologists to independently assess tumour cell and necrotic content. Tumour cell content (TC) in each specimen was scored as percentage of viable cells as seen on the H&E slide, where necrotic content (NC) was recorded as a percentage of the whole slide section. Statistics were calculated using SPSS v21 software. Tumour specimens screened for eligibility to The Cancer Genome Atlas sequencing project are presented here.

      Results
      Tumours from 62 AC and 104 SCC subjects were scored (specimen characteristics in Table 1). Scoring between the two pathologists was highly correlated, with a high intraclass reliability (0.94 and 0.96 for TC and NC respectively).

      Table 1: Clinical and Pathological Characteristics of Specimens
      AC SCC
      Number of Specimens 384 609
      Number of Males/Females 36/26 84/20
      Median Specimens per Subject 4 4
      Range of Specimens per Subject 1-25 1-27
      Median TC 35% 30%
      Range of TC 0-88% 0-90%
      Median NC 0% 6%
      Range of NC 0-90% 0-100%
      Median Age 62 yrs 68 yrs
      Range of Age 45-85 yrs 46-91 yrs
      Median Smoking Pack Years 40 56
      Range of Smoking Pack Years 0-115 0-158
      TC varied from 0-~90% for both subtypes. Comparing AC and SCC, the median TC was higher in AC than SCC (35% vs 30% respectively, p<0.05). NC varied from 0-~100%, but was generally low. The median NC was statistically significantly different between AC and SCC (0% and 6% respectively, p<0.001). TC was weakly correlated with NC (Spearman Rank r = 0.32, p<0.01). There were no clinically important correlations between smoking pack years, gender or age with TC and NC of specimens.

      Conclusion
      Lung AC and SCC specimens are heterogeneous in terms of TC and NC. Therefore, only a small proportion of resected lung cancer specimens meet the criteria required for massively parallel sequencing projects that require high quality tumour DNA and RNA (ie low NC) and relatively low stromal contamination (ie high TC).