Virtual Library

Start Your Search

Nathalie Chaput



Author of

  • +

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

    • Event: WCLC 2019
    • Type: Mini Oral Session
    • Track: Immuno-oncology
    • Presentations: 2
    • Now Available
    • +

      MA07.01 - Circulating Immature Neutrophils, Tumor-Associated Neutrophils and dNLR for Identification of Fast Progressors to Immunotherapy in NSCLC (Now Available) (ID 1618)

      13:30 - 15:00  |  Author(s): Nathalie Chaput

      • Abstract
      • Presentation
      • Slides

      Background

      Neutrophils are active regulators of the antitumor immune response, with pro- and antitumor- properties, but generally are associated with progression (PD) and poor outcomes. We reported that pretreatment dNLR ((neutrophils/[leucocytes-neutrophils]; high>3) correlated with immune checkpoint inhibitor (ICI) outcomes in advanced (a) NSCLC pts. Although neutrophil population is heterogeneous, the immature neutrophils (i.e. CD15+CD244-CD16low, among others) seem to be a key subpopulation linked to PD. Tumor-associated neutrophils (TAN) can be also modulator on the microenvironment. We aimed to assess the role of pretreatment circulating immature-neutrophils and tissue-TAN, combined with dNLR, on ICI outcomes in aNSCLC pts.

      Method

      aNSCLC pts treated with ICI at our institution between 11/2012 and 08/2018 were eligible. Pretreatment immunophenotyping of monocytes, monocytic MDSC (mMDSC) and granulocytes (CD15, CD11b, CD33, CD244, CD16, CD14, CD32, CD64, HLA-DR) was prospectively performed by flow cytometry in fresh whole blood in 58 pts; we defined immature-neutrophils as CD15+CD244-CD16low. TAN in the stroma were assessed using H&E staining from archival specimen, available from 80 pts. dNLR was retrospectively collected; available from 343 pts. Correlation between baseline circulating neutrophils phenotype, TAN and dNLR was evaluated as well as their impact on outcomes: progression-free survival (PFS), overall (OS), including death before 12 weeks (12wk-death) (fast-PD)

      Result

      366 pts included; 320 (90%) smokers, median age 63; 280 (77%) nonsquamous, 117 (64%) ≥1%PDL1 and 183 missing. Median PFS (mPFS) was 1.93 months (m) [95%CI, 1.8-2.3] and mOS 8.8m [6.5-11.6]. Overall, 12wk-death rate was 31% [25.9-35.6].

      Pretreatment high-dNLR (143/343; 42%) was correlated with poor PFS (P=0.002), OS P=0.0003) and a 12wk-death rate of 43% [34.5-50.9]. Pretreatment high immature-neutrophils (30/58; 53%), defined by logrank maximization method (>0.22%), were also associated with poor PFS (P=0.04), OS (P=0.0007) and a 12wk-death rate of 48.7% [26.7-64.1]. TAN (9/80; 11%) were not correlated with outcomes. There was not a correlation between immature-neutrophils, tissue-TAN and dNLR.

      When evaluating pretreatment immature-neutrophils and dNLR together, we identified a fast-PD phenotype (high immature-neutrophils/high-dNLR, 10/58; 17%), with a mOS of 1.3m [0.73- not reached (NR)] and 12wk-death rate of 60% [14.5-81.3] compared to a responder-phenotype (low immature-neutrophils/low-dNLR, 12/58; 21%), associated with good outcomes: mOS NR [18.23-NR] (P=0.002).

      Conclusion

      Pretreatment high circulating immature-neutrophils (CD15+CD244-CD16low) correlate with early failure to ICI and fast-PD phenotype. The combination of circulating immature-neutrophils and dNLR could improve the identification of this population. The impact of immature-neutrophils on ICI should be more deeply explored.

      Only 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, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.

      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.

    • +

      MA07.02 - Early Change of dNLR Is Correlated with Outcomes in Advanced NSCLC Patients Treated with Immunotherapy (Now Available) (ID 2676)

      13:30 - 15:00  |  Author(s): Nathalie Chaput

      • Abstract
      • Presentation
      • Slides

      Background

      The [neutrophils/[leucocytes-neutrophils] ratio (dNLR) correlates with immune checkpoint inhibitors (ICI) outcomes in advanced non-small cell lung cancer (aNSCLC) patients. Significance of early dNLR change after the first course of ICI is unknown.

      Method

      Patients with NSCLC treated with ICI (PD(L)1+/-CTLA4) between Nov. 2012 and Jun. 2018 at 16 EU/US centers were included. A control group treated with chemotherapy (CT) only was also evaluated (NCT02105168). dNLR was collected at baseline (B) and at cycle 2 (C2). Patients were categorized as low vs high dNLR at each timepoint (defined as < vs > 3, as previously done), and the change between B and C2 (good = low at both timepoints, poor = high at both timepoints, mixed = different at each timepoint).

      Result

      1485 patients treated with ICI were analyzed. PDL1 was negative in 162 (11%), 1-49% in 178 (12%), ≥50% in 201 (14%), and missing in 944 (64%). dNLR at B and C2 did not associate with PD-L1 status.

      At baseline, dNLR was high in 509 (34%) patients and associated with worse PFS compared to those patients with low dNLR at baseline (HR 1.56, P<0.0001) and OS (HR 2.02, P<0.0001). At C2, dNLR was high in 484 (34%) and similarly associated with worse outcomes compared to patients with low dNLR at C2 (PFS HR 1.64, P<0.0001; OS HR 2.13, P<0.0001).

      Between B and C2, dNLR remained low in 804 (56%, « good ») or high in 327 (23%, « poor ») or changed in 310 pts (22%, « intermediate »). Those with a good dNLR demonstrated mPFS 5.3, mOS 18.6 mo), followed by those intermediate with mixed dNLR (mPFS 3, mOS 9.2 mo), and finally poor dNLR (mPFS 2, mOS 5mo). Outcomes were independant of PD-L1 expression (adjusted HR for PFS 1.94 for intermediate and 3.16 for poor groups, compared to good dNLR group, P<.001; adjusted HR for OS was 2.08 for intermediate and 3.67 for poor groups, P<0.001).A bootstrap tested the stability of OS/PFS prediction (P<0.001).

      In the chemo-cohort (n=173), high C1-dNLR (n=81, 47%) was not associated with OS (P=0.84).

      Conclusion

      dNLR at baseline, at cycle 2, and the change between these two timepoints associated with outcomes in patients treated with immunotherapy independent of PD-L1, but not in patients treated with chemotherapy alone. dNLR is specifically prognostic in the context of immunotherapy.

      Only 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, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.

      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.

  • +

    P1.04 - Immuno-oncology (ID 164)

    • Event: WCLC 2019
    • Type: Poster Viewing in the Exhibit Hall
    • Track: Immuno-oncology
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/08/2019, 09:45 - 18:00, Exhibit Hall
    • +

      P1.04-31 - Immunosenescence Correlates with Poor Outcome from PD-(L)1 Blockade but Not Chemotherapy in Non-Small Cell Lung Cancer (NSCLC) (Now Available) (ID 2268)

      09:45 - 18:00  |  Author(s): Nathalie Chaput

      • Abstract
      • Slides

      Background

      CD28, CD57 and KLRG1 on circulating T-lymphocytes have been identified as markers of immunosenescence. The characterization of a senescent immune phenotype (SIP) in advanced NSCLC (aNSCLC) and its impact on anti-PD(L)-1 (IO) or platinum-based chemotherapy (PCT) treatments are unknown.

      Method

      The percentage of circulating CD8+CD28-CD57+KLRG1+ T-lymphocytes (SIP) was assessed by flow cytometry on fresh blood from aNSCLC patients treated with IO or PCT. A SIP cut-off was identified by log-rank maximation method. Correlations with categorical or continuous variables were performed by logistic regression or t-test. Survival curves were estimated with Kaplan Meier and compared with log-rank.

      Result

      In the IO cohort, 43 patients were evaluated for SIP: 32% ≥ 65 years, 92% non-squamous, 51% with tumoral PD-L1 expression ≥1%, 93% chemotherapy pretreated. Disease control rate (DCR), median PFS and OS and FU were 57%, 4.6 (95% CI 0.5; 8.8) months, 13 (95% CI 2.8-23.2) months, and 14 (95% CI 8.8-19.8) months, respectively.

      SIP median value was 15.4% (min 1.6%, max 57.7%). 32% of patients had >21.72% CD28-CD57+KLRG1+CD8+ lymphocytes (SIP+). SIP was not significantly associated with clinical characteristics. SIP changed according to IO response by T-sne algorithm (Figure 1A). Compared to SIP-, SIP+ patients had significantly lower DCR (81% vs 28%, p=0.002), PFS [7.3 (95% CI 4.1; 10.4) vs 1.7 (95% CI 1.2; 2.3), p=0.02] and OS [NR (95% CI 6.04; NR) vs 2.4 (95% CI 1.7; 3.1), p=0.01].

      SIP was significantly associated with specific immune populations [higher peripheral activated (Ox40+ICOS+PD1+) T-regulatory (CD25highCD127low) cells, TEMRA (CCR7-CD45RA+) CD8+ and T-helper 1 (CXCR5-CXCR3+CCR4-CCR6-CCR10-) CD4+] (Figure 1B). The PCT cohort included 61 patients, 43% SIP+. No significant difference in DCR, PFS or OS were observed according to SIP.

      figure 1a-1b.jpg

      Conclusion

      Immunosenescence is observed in 32% of aNSCLC patients before IO and correlates with specific immune phenotypes. Immunosenescence predicts lower DCR, PFS and OS from IO but not from PCT.

      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.