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Marie-Eve Boucher
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MA 10 - Immunotherapy I (ID 664)
- Event: WCLC 2017
- Type: Mini Oral
- Track: Immunology and Immunotherapy
- Presentations: 1
- Moderators:S. Wang, Robert Pirker
- Coordinates: 10/17/2017, 11:00 - 12:30, Room 303 + 304
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MA 10.11 - Hyperprogressive Disease (HPD) Is Frequent in Non-Small Cell Lung Cancer (NSCLC) Patients (Pts) Treated with Anti PD1/PD-L1 Agents (IO) (ID 10222)
12:10 - 12:15 | Author(s): Marie-Eve Boucher
- Abstract
- Presentation
Background:
Using Tumor Growth Rate (TGR), HPD was identified in 9% of 131 advanced cancer pts, treated with IO in a single institution (Champiat et al. 2017). In this study, we explored HPD in a large, multicenter cohort of advanced NSCLC pts treated with IO.
Method:
We performed a retrospective analysis of consecutive NSCLC pts treated with IO, in 8 institutions, between November 2012 and April 2017. Eligibility criteria required, for each patient: 2 CT scans performed before starting IO and one during IO, an interval between two CT scans ≥2 weeks or 3 months (m) and presence of target lesions. CT scans were centrally assessed according to RECIST 1.1 criteria. We calculated TGR before IO (TGR pre-IO) and during IO (TGR IO); patients were defined HPD if they had progression disease (PD) at first evaluation during IO and a ≥ 2-fold increase in the TGR IO compared to TGR pre-IO. Median overall survival (mOS) was estimated using Kaplan-Meier method for the total population and HPD pts.
Result:
Among 419 eligible pts, 86 were excluded for inadequate intervals between CT scans. Among 333 evaluable pts, 63% were male, 46% ≥65 years, 43% smokers; 12% had PS ≥ 2, 65% adenocarcinoma, 45% ≥3 metastatic sites, 22% KRAS mutation, 4% EGFR mutation, 1% ALK rearrangement; 21% had PD-L1 positive status, 10% negative, 69% unknown, >90% received single agent PD-1 inhibitor in ≥ 2 line. Response rate (RR) to IO was 18%, median follow up was 12 m [10-14]. 33% of pts had TGR IO ≥1 (not regressing tumors), 25% had TGR IO ≥ 2-fold TGR pre-IO and 54 pts (16%) had HPD. 15 pts (4%) had confirmed pseudoprogression, 3 were initially qualified as HPD. Compared to not-HPD, HPD pts had more frequently ≥ 3 metastatic sites at baseline (59% vs 43% p=0,02) and more new lung lesions during IO (34% vs 17% p=0,007). PD-L1 negative status was more common among HPD pts but the association was borderline significant (53% vs 28% p=0,05). Age, clinical, molecular characteristics, RR to treatment before IO, baseline tumor burden, liver or brain new lesions during IO were not different according to HPD status. mOS was 13 m [10-17] in the total population, 5 m [3-8] in HPD pts.
Conclusion:
HPD occurred in 16% of advanced NSCLC pts treated with IO and was associated with plurimetastatic disease and appearance of new lung lesions. Further work is needed to characterize HPD prognostic value.
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OA 03 - Mediastinal and Esophageal Tumor: Insight and New Treatment (ID 654)
- Event: WCLC 2017
- Type: Oral
- Track: Thymic Malignancies/Esophageal Cancer/Other Thoracic Malignancies
- Presentations: 1
- Moderators:M. Chida, Jhingook Kim
- Coordinates: 10/16/2017, 11:00 - 12:30, Room 311 + 312
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OA 03.01 - Prevalence of Autoimmune Diseases in Thymic Epithelial Tumors (TET) Insights from RYTHMIC (ID 8745)
11:00 - 11:10 | Presenting Author(s): Marie-Eve Boucher
- Abstract
- Presentation
Background:
TET have been associated with autoimmune disorders (AID) in up to 30 % of patients. However, there have been wide variations in the reported prevalence of TET associated disorders based mostly on small single center series. RYTHMIC (Réseau tumeurs THYMiques et Cancer) is a French network mandated to systematically discuss every case of TET. Using our database, we aimed to describe the prevalence of AID in a large French population with TET.
Method:
RYTHMIC database prospectively includes all consecutive patients with a diagnosis of TET discussed in our national tumor board. We calculated the prevalence and described epidemiologic, clinical and pathological characteristics of patients with TET’s related autoimmune diseases.
Result:
From January 2012 to May 2017, 1693 patients were included in the registry. Of these, 200 patients (11.8%) had autoimmune disorder. The mean age at diagnosis of TET was 54 years old and 52% were male. 149 had myasthenia gravis (75.3%), 15 Good syndrome (7.6%), 14 pure red cell aplasia (7.1%), 12 systemic erythematous lupus (6.1%) and 12 thyroiditis (6.1%). Some patients (14.5%) eventually developed more than 1 AID. Diagnosis of AID was mostly done at the same time of TET diagnosis (54.6%) but some patient had their AID diagnosed before (19.8%) or during follow up (13.4%). Masaoka Koga stages were overall well balanced with 16.5% stage III, 16% stage IIb, 13.5% stage I, 13% stage IIa and IV. Histologic subtype distribution was in order of frequency; B2 (37%), AB (14.5%), B3 (14%), B1 (10.5%), thymic carcinoma (4.5 %) and A (4%).
Conclusion:
In our registry of TET, the prevalence of autoimmune diseases was 11.8% and most diagnosis were established at the same time as TET. The extent of disease, measured by Masaoka Koga staging, does not seem correlated.
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P2.01 - Advanced NSCLC (ID 618)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 10/17/2017, 09:00 - 16:00, Exhibit Hall (Hall B + C)
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P2.01-038 - Determinants of Frailty and Treatment Toxicity in Non-Small Cell Lung Cancer Patient (ID 9566)
09:00 - 09:00 | Presenting Author(s): Marie-Eve Boucher
- Abstract
Background:
Platinum-based chemotherapy remains a first line treatment for advanced non-small-cell lung cancers (NSCLC). Despite better individualization of treatment, some patients will seek frequent medical attention because of cancer-related complications or treatment toxicity. This can negatively impact patient’s quality of life and health care resources. This study aimed to identify biological and clinical factors predictive of frailty and treatment toxicity among NSCLC patients eligible for first-line platinum-based chemotherapy.
Method:
Using our institutional medical charts, we retrospectively extracted data on stage III and IV NSCLC patients diagnosed between December 2011 and November 2015 who had received a first-line platinum based chemotherapy. The primary outcome is defined as any unplanned emergency visit and/or unplanned hospitalization for cancer or treatment related complications. Using multivariate logistic regression model with step by step method, we defined baseline biological and clinical determinants associated with the primary outcome.
Result:Table 1. First Multivariate Analysis
We included 227 patients. Mean age was 60 years old, 65% were male, 46% current smokers, 10% PS 2-3 and 74% had adenocarcinoma histology. 20,7% patients had locally advanced disease (Stage III) treated by chemoradiation and 78,4% had metastatic disease treated by exclusive chemotherapy. Median overall survival (OS) was 15 months and PFS 6 months. Overall, 55 % (122/227) met the primary outcome. There were 14 variables (Table 1) included in the first multivariate analysis before computer based step by step approach. In the final model (not shown), albumin level <35 g/L (OR 2.24 95% IC 1.14- 4.38, p= 0.02) was an independent predictor of the primary outcome. There was also a trend for squamous cell carcinoma subtype (OR 2.27 95% IC 0.872- 5.914, p= 0.09).Variable OR 95% CI Age ≥ 62 Years-old 1.61 0.70 - 3.68 Adenocarcinoma - Squamous Cell Carcinoma - NSCLC other 1 2.43 0.50 0.61- 9.61 1.45 – 1.74 Performance scale ≥ 1 1.35 0.57 – 3.18 Number of metastasis ≥ 2 1.36 0.58 – 3.18 Pleural metastasis 2.04 0.53 – 7.86 Weight loss ≥10% or ≥3 kg 1.00 0.41 – 2.43 ≥ 3 prescription drugs per day 0.98 0.42 – 2.28 Current smoker - Former Smoker - Never smoker 1 0.56 1.10 0.24 – 1.30 0.24 – 5.11 Neutrophils count ≥ 7500/ mm[3] 1.57 0.70 – 3.54 Lymphocytes count ≤ 1000/ mm[3] 1.04 0.34 – 3.22 Albumin ≤ 35 g/L 2.70 0.93 – 7.69 LDH ≥ 247 U/L 0.93 0.37 – 2.30
Conclusion:
Low albumin level is a determinant of frailty in patients eligible for platinum-based chemotherapy. Early intervention in these subgroups could benefit patient’s quality of life and health care expenses. (Medicoeconomic analysis will be presented).