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J. Kwon



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    MINI 25 - Trials, Radiation and Other (ID 142)

    • Event: WCLC 2015
    • Type: Mini Oral
    • Track: Thymoma, Mesothelioma and Other Thoracic Malignancies
    • Presentations: 1
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      MINI25.13 - Survival Prediction Model of Repeated Pulmonary Metastasectomy for Osteosarcoma: A Nomogram and Regression Trees (ID 2876)

      16:45 - 18:15  |  Author(s): J. Kwon

      • Abstract
      • Presentation
      • Slides

      Background:
      Surgical resection for pulmonary metstasis of osteosarcoma has been considered as the treatment of choice, however, it was not feasible to predict the benefit of metastasectomy for patients with multiple poor prognostic parameters. Survival prediction model can be very helpful for this purpose, so we made a nomogram based on parametric survival model(PSM) and regression trees from recursive partitioning analysis(RPA).

      Methods:
      We reviewed the clinical variables of patients who underwent single or multiple surgical resection for pulmonary metastasis of osteosarcoma between 1994 and 2012. Prognostic parameters were incorporated into PSM and RPA to build a nomogram and regression trees for the prediction of survival after single or multiple metastasectomy. The ‘rms’ and ‘rpart’ package of R(version 3.2.0) were used for this procedure. PSM was validated with C-index calculated by bootstrap method and then the parameters of PSM were used for RPA.

      Results:
      We analyzed 186 patients who received 294 metastasectomies. The number of second, third, and forth metastasectomy cases were 62, 28, and 11 respectively. Overall 5-year survival rate after first metastasectomy was 47%. Age, gender, number of metastatic nodules, frequency of metastasectomy, disease free interval before metastasectomy, size, subtype and resection margin of primary tumor were affecting overall survival. Nomogram and regression trees were displayed in figures. C-index of PSM was 0.71. Figure 1 Figure 2





      Conclusion:
      Our prediction model using a nomogram and regression trees can be easily employable for calculating survival benefits. Nomogram and RPA are complementary to each other. RPA displays comprehensive grouping of patients who have similar prognosis, while nomogram is useful for predicting hazard ratio of individual patient. In this study, our combined model constitutes a useful tool for predicting prognosis of patients who undergo repeated metastasectomy for osteosarcoma.

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    P1.04 - Poster Session/ Biology, Pathology, and Molecular Testing (ID 233)

    • Event: WCLC 2015
    • Type: Poster
    • Track: Biology, Pathology, and Molecular Testing
    • Presentations: 1
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      P1.04-068 - Protein Tyrosine Kinase 7 Plays a Tumor Suppressor Role by Inhibiting ERK and Akt Phosphorylation in Lung Cancer (ID 3128)

      09:30 - 17:00  |  Author(s): J. Kwon

      • Abstract
      • Slides

      Background:
      Protein tyrosine kinase 7 (PTK7) is a catalytically inactive receptor tyrosine kinase that is also known as colon carcinoma kinase-4 (CCK-4). Recent reports have shown that PTK7 plays an important role in carcinogenesis, and it is known to be up-regulated in gastric cancer, colon cancer, esophageal cancer, and liposarcoma. However, we found that PTK7 expression was down-regulated at the mRNA as well as protein levels in human lung squamous cell carcinoma (SCC), unlike in other tumors. In this study, we attempted to explore the role of PTK7 in lung cancer

      Methods:
      We analyzed expression of PTK7 by RT-PCR and western blot analysis using tumor and normal lung tissue from 10 SCC patients. To explore the functional role of PTK7, the expression of PTK7 in SCC cells was examined using empty vector and PTK7 gene inserted vector.

      Results:
      We found that PTK7 expression was down-regulated at the mRNA as well as protein levels in human lung squamous cell carcinoma (SCC). Upon investigating the functional role of PTK7 in SCC, we found that overexpression of PTK7 in SCC cells resulted in inhibition of cell proliferation, invasion, and migration. Further, we confirmed that these phenotypic changes are associated with the activation of Akt and ERK.

      Conclusion:
      These observations may indicate a role for PTK7 in cell proliferation, wound healing and invasion via regulating Akt and Erk activation. Our findings suggest that PTK7 has different oncogenic roles in organs and target tumors.

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