Virtual Library

Start Your Search

Y. Chen



Author of

  • +

    P2.08 - Locally Advanced Nsclc (ID 709)

    • Event: WCLC 2017
    • Type: Poster Session with Presenters Present
    • Track: Locally Advanced NSCLC
    • Presentations: 1
    • +

      P2.08-002 - A Nomogram for Predicting Underlying Beneficiaries for Resectable IIIA/N2 NSCLC Patients (ID 9260)

      09:30 - 09:30  |  Author(s): Y. Chen

      • Abstract
      • Slides

      Background:
      Stage IIIA/N2 non-small-cell lung cancer (NSCLC) is a heterogeneous condition with multidisciplinary approaches involved. For operable IIIA/N2 NSCLC, surgery combined with chemotherapy is considered as an optimal management. Yet no solid evidences to conduct appropriate treatment modality for operable IIIA/N2 NSCLC and patients through curative treatment still surfer unsatisfactory prognosis.

      Method:
      329 pathologically confirmed IIIA/N2 NSCLC patients through curative treatment were enrolled. Multivariate analysis was performed to select highly correlated clinical characters for nomogram. C-index and further survival analysis were given to validate the efficacy of the model.

      Result:
      Multivariate analysis indicate independent factors for overall survival including clinical stage, T stage, N stage, N2 status and tumor position which were then integrated into the model. The calibration curves showed moderate concordance between nomogram prediction and actual observation. Linear predictor of 3.5 was set to be the cutoff of the model through X-tile plot, and patients with linear predictor over 3.5 revealed significant longer median survival than those under 3.5 (59.90 vs. 24.90, log-rank P=0.0005). Figure 1Figure 2





      Conclusion:
      We established a nomogram that may well distinguish the potential subgroup of patients benefit from curative treatment modalities. Further perspective study should rigorously clarify the issue of which multimodality treatment to be chosen for IIIA/N2 NSCLC patients.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.