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Mavis Mensah



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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): Mavis Mensah

      • 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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    MA07 - Clinical Questions and Potential Blood Markers for Immunotherapy (ID 125)

    • Event: WCLC 2019
    • Type: Mini Oral Session
    • Track: Immuno-oncology
    • Presentations: 1
    • Now Available
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      MA07.03 - A Circulating MicroRNAs-Based Test as Biomarker of Primary and Secondary Resistance in PD-L1 ≥50% NSCLC Treated with Immunotherapy (Now Available) (ID 2495)

      13:30 - 15:00  |  Author(s): Mavis Mensah

      • Abstract
      • Presentation
      • Slides

      Background

      PD-L1 represents the only clinically approved biomarker to select patients for immunotherapy. However, about 20-25% of PD-L1≥50% NSCLC patients do not benefit of ICIs treatment. We showed that a plasma microRNA signature classifier (MSC), reflecting the switch towards an immunosuppressive profile of immune cells, identifies NSCLC patients with worse prognosis after ICIs, irrespective from PD-L1 expression. Aim of this trial is to prospectively define the MSC role as biomarker of primary or secondary resistance in PD-L1≥50% NSCLC treated with ICIs.

      Method

      Fifty consecutive advanced NSCLC patients with PD-L1≥50% treated with ICI as first (n=32) or further line were enrolled. Plasma samples, as well as demographics information, smoking history and ECOG PS were collected before starting ICI treatment. The MSC test identified patients at high (H) risk vs intermediate/low (I/L) risk levels. According to RECIST 1.1 criteria, patients were classified as responders (R), patients with stable disease (SD), and progressors (P). Objective Response Rate (ORR), Progression Free Survival (PFS) and Overall Survival (OS) in MSC risk level strata at the baseline were considered as endpoints. For 26 R or SD patients with extended follow-up, additive, not mandatory plasma samples were collected and analyzed at the time of revaluations. To determine changes in the risk level during follow-up, we evaluated changes in the probability of having progressive disease after two consecutive MSC tests, considering all possible combinations.

      Result

      Overall 17 (34%) R, 17 (34%) patients with SD, 11 (22%) P and 5 (10%) not evaluable patients were identified. Considering the baseline blood samples 11 (22%) NSCLC patients were MSC H. ORR was 0% in MSC H vs 45% for other patients (p=0.0090). Median PFS was 2.3 months for MSC H vs 10.9 months for other patients (HR=0.38; 95%CI=0.17-0.84; p=0.0174). Median OS was 2.9 months for MSC H vs 22.0 months for other patients (HR=0.18; 95%CI=0.07-0.47; p=0.0004). Data remained significant adjusting for age, sex, pack-years and ECOG performance status: PFS HR=0.31 (95%CI=0.13-0.73; p=0.0072) and OS HR=0.13 (95%CI=0.04-0.39; p=0.0003). Among the 26 patients with longitudinal evaluation of MSC risk level, all the 12 patients reaching progression during treatment showed an increase in the risk level (Sign-test p-value=0.0039). Conversely, when considering the 14 NSCLC patients still maintaining SD or responding to ICIs at the time of the analysis, the risk level decreased for 9 (64%) of them (Sign-test p-value=0.1655).

      Conclusion

      These preliminary results suggest that MSC risk level at the baseline and during treatment could help to identify primary or secondary resistance in PD-L1≥50% NSCLC patients treated with ICIs. Ongoing clinical trials are validating these results.

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