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Xue-Ning Yang



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    MA25 - Oligometastasis: Defining, Treating, and Evaluating (ID 929)

    • Event: WCLC 2018
    • Type: Mini Oral Abstract Session
    • Track: Oligometastatic NSCLC
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/26/2018, 13:30 - 15:00, Room 203 BD
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      MA25.06 - RPA Analysis for Oligometastatic Non-Small Cell Lung Cancer: Smoking Combine T3/4 Patients May Not Be Benefit from Local Consolidative Treatment (ID 11994)

      14:05 - 14:10  |  Author(s): Xue-Ning Yang

      • Abstract
      • Presentation
      • Slides

      Background

      In the literature on oligometastasis, the relative importance of local consolidative treatment (LCT) has been gradually accepted. This study set out to investigate the prognosis heterogeneity and the effect of LCT for oligometastatic non-small cell lung cancer patients.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      We identified 436 patients in Guangdong General Hospital (GGH) from 2009 to 2016 with oligometastatic disease, and the factors predictive of overall survival (OS) were evaluated using Cox regression. Risk stratifications were defined using recursive partitioning analysis (RPA) on training set (2009~2014), which were further confirmed on validation set (2015-2016). And the effect of LCT for different risk groups was further examined by Kaplan-Meier method.

      4c3880bb027f159e801041b1021e88e8 Result

      Factors predictive of OS were: T stage (p=0.001), N stage (p=0.008), metastatic sites (p=0.031) and EGFR status (p=0.043). Prognostic risk RPA model was established, 4 risk groups were identified: Group I, never smokers and N0 disease (3-year OS: 55.6%, median survival time (MST)=42.8m); Group II, never smokers and N+ disease (3-year OS: 32.8%, MST=26.5m); Group III, smokers and T1/T2 disease (3-year OS: 23.3%, MST=19.4m); and Group IV, smokers and T3/T4 disease (3-year OS: 12.5%, MST=11.1m). Among four groups, OS significant differences were observed according to LCT except group IV (p=0.45).

      8eea62084ca7e541d918e823422bd82e Conclusion

      This retrospective study identified the poor prognostic population (smoking combine T3/4 disease) of oligometastatic non-small cell lung cancer patients, and this population may not be benefit from local consolidative therapy.

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      6f8b794f3246b0c1e1780bb4d4d5dc53

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    P2.12 - Small Cell Lung Cancer/NET (Not CME Accredited Session) (ID 961)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/25/2018, 16:45 - 18:00, Exhibit Hall
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      P2.12-11 - A Prognostic Model Integrating Immunohistochemistry Markers for Extensive-Disease Small-Cell Lung Cancer (ID 11828)

      16:45 - 18:00  |  Author(s): Xue-Ning Yang

      • Abstract
      • Slides

      Background

      Extensive-disease small-cell lung cancer (ED-SCLC) is a subtype of high-grade neuroendocrine carcinoma (HGNEC) with poor prognosis. We tend to build a prognostic nomogram and illustrate the failure pattern of first line etoposide/Irinotecan with paclitaxel (EP/IP) treatment.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      250 ED-SCLC patients received first line EP/IP treatment were enrolled. Cox regression analysis was used to identify the prognostic factors to establish nomogram. The predictive accuracy of nomogram was evaluated by concordance index (C-index). Further stratification based on Ki67 and brain metastasis was performed through X-tile plot and Kaplan Meier.

      4c3880bb027f159e801041b1021e88e8 Result

      Cox regression analysis indicated brain metastasis as the prognostic factor and we further selected NSE, gender, TTF-1, Syn, tumor size and smoking status under clinical consideration for nomogram. C-index of nomogram suggested 0.65 with moderate predictive effect. Subgroup analysis showed patients with Ki67 lower than 85% had poorer prognosis than those over 90% (HR 0.59, 95%CI 0.39-0.92, p=0.02). Those without brain metastasis at baseline achieving partial response (PR)/complete response (CR) suggested no prognostic significance in brain progression compared to other progression group.

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      8eea62084ca7e541d918e823422bd82e Conclusion

      Established nomogram could well predict prognosis in ED-SCLC. Ki67 might play a potential role in prognosis of SCLC. Application of preventive cranial irradiation might be challenged in ED-SCLC patients without brain metastasis.

      6f8b794f3246b0c1e1780bb4d4d5dc53

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