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MARTA Brambilla



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    MA03 - Clinomics and Genomics (ID 119)

    • Event: WCLC 2019
    • Type: Mini Oral Session
    • Track: Advanced NSCLC
    • Presentations: 1
    • Now Available
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      MA03.10 - Prospective Evaluation of a Prognostic Clinico-Molecular Score (DEMo) to Predict Outcome of Advanced NSCLC Patients Treated with Immunotherapy (Now Available) (ID 1378)

      10:30 - 12:00  |  Author(s): MARTA Brambilla

      • Abstract
      • Presentation
      • Slides

      Background

      We have already reported three different molecular (MSC: plasma miRNA-signature classifier, Boeri, Clin Cancer Res 2019) and clinico-biochemical scores (DiMaio: Di Maio, EJC 2010; EPSILoN: Ann.Onco 2018 supp) able to differently predict prognosis in advanced non-small cell lung cancer (aNSCLC) patients treated with immunotherapy (IO). Exploiting the ability of each test we developed a combined clinico-biological composite score called DEMo (DiMaio EPSILoN MSC). Objective of the study is to prospectively evaluate the prognostic value of DEMo in aNSCLC patients treated with IO.

      Method

      We enrolled 127 consecutive aNSCLC patients treated with IO in first (n=37) and further-lines (n=90) at Istituto Nazionale dei Tumori, Milan. All patients had complete clinico-laboratoristic data necessary for both scores: DiMaio (ECOG-PS, sex, histology, stage, uses of platinum-based therapy at first-line and response to first-line) and EPSILoN (ECOG-PS, Smoke, Liver, LDH, NLRatio). MSC was prospectively evaluated in plasma samples collected prior starting IO and the risk level were assessed. Progression-free survival (PFS) and overall survival (OS) in strata of MSC/DiMaio/EPSILoN alone or DEMo and overall response rate (ORR), were considered as endpoints. Kaplan Meier were used to generate survival curves and Cox hazard model were employed to perform multivariate analyses.

      Result

      In multivariate analyses, adjusted for age, sex, pack/year and ECOG-PS, patients with high MSC and high DiMaio and EPSILoN scores reported a lower PFS (MSC: HR 1.72 CI95% 1.06 – 2.77, p=0.027; DiMaio: HR 2.63 CI95% 1.40 – 5.00, p=0.002; EPSILoN: HR 2.17 CI95% 1.16 – 4.16, p=0.014) and OS (MSC: HR 2.17 CI95% 1.29 – 3.70, p=0.003; DiMaio: HR 3.57 CI95% 1.66 – 7.69, p=0.001; EPSILoN: HR 2.50 CI95% 1.15 – 5.26, p=0.020). DEMo stratified patients into four risk groups according to the presence of 3–2–1–0 bad markers (High MSC/DiMaio/EPSILoN or none). Groups had 0%–0%–32.2%–53.3% 1-year PFS (p<0.0001) and 4.4%– 19.4% – 66.9% – 75.4% 1-year OS (p<0.0001). We further compared 0/1 to 2/3 combined groups. At the multivariate Cox model group 2/3 had a mPFS 1.9 vs 9.4 mo compared to group 0/1 (HR 3.70 CI95% 2.08 – 6.67, p<0.0001) and mOS 4.1 vs 22.4 mo (HR 4.76 CI95% 2.56 – 9.10, p<0.0001). Regarding ORR, DEMo group 0/1 had a 3.86 (CI95% 1.76-8.47) fold higher probability to respond compare to 2/3 group (p=0.0007).

      Conclusion

      DEMo composite biomarker is able to predict better prognosis compared to each single score and can be a useful tool for guiding IO treatment choices. In particular, DEMo allowed a good selection for those patients who are less likely to benefit from IO.

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