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Pedro Jares
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EP1.01 - Advanced NSCLC (ID 150)
- Event: WCLC 2019
- Type: E-Poster Viewing in the Exhibit Hall
- Track: Advanced NSCLC
- Presentations: 1
- Now Available
- Moderators:
- Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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EP1.01-41 - Feasibility of EBUS-TBNA Cytologies for an Extensive Assessment of Predictive Biomarkers in Lung Cancer (Now Available) (ID 1640)
08:00 - 18:00 | Author(s): Pedro Jares
- Abstract
Background
Clinical guidelines support the determination of several driver genes as well as PD-L1 to drive treatment decisions in non-small cell lung cancer (NSCLC). Endobronchial-ultrasound transbronchial needle aspiration (EBUS-TBNA) cytology specimens are useful for the initial diagnosis of NSCLC, although its capacity to provide enough material for a complete genotyping remains controversial. The aim of this study is to determine the yield of EBUS for a comprehensive multiplex genotyping in patients (pts) with suspected NSCLC.
Method
In this single-center, ongoing, prospective study, samples from mediastinal lymph nodes were obtained from pts undergoing EBUS-TBNA for lung cancer diagnosis/staging. Following malignant confirmation and appropriate cell content by rapid on-site evaluation, the study sample was obtained and formalin-fixed paraffin-embedded (FFPE). Three analytes were evaluated (DNA/RNA/protein). DNA and RNA were extracted and analyzed by Oncomine Solid Tumour panel (22 genes) and a customized nCounter panel (ALK, ROS; RET, NTRK, METDe14). Tumor Proportion Score (TPS) for PD-L1 protein expression was evaluated by an expert pathologist and scored into <1% (negative), 1-49% (weakly positive) and 50% (high).
Result
Twenty-five pts with NSCLC have been included and cytology samples of 20 of them molecularly characterized (5 still in progress). Overall, cytological analysis of EBUS-TBNA yield a complete characterization for the three analytes (DNA/RNA/protein) in 15 pts (75%). EBUS-TBNA sampling was sufficient for both, Nanostring and Oncomine evaluation, in a total of 18 pts (90%): 15 patients (83%) had any alteration detected by oncomine (TP53 61% [11/18],KRAS 44% [8/18], EGFRe 195.5% [1/18], BRAF V600E 5,5% [1/18], DDR2 5.5% [1/18], STK11 11% [2/18]) and 1 pt (5.5 %) by nanostring (METDex14). A total of 19 samples were sufficient for PD-L1 expression scoring (95%). TPS for PD-L1 expression was negative in 8 pts (42%), week in 4 (21%) and high in 7 pts (37%). Overall, half of the pts evaluated (10/20) would be potential candidates for an upfront personalized treatment strategy using targeted agents or immunotherapy.
Conclusion
EBUS-TBNA is a promising alternative source of material for NSCLC genotyping and allows the identification of pts candidates for personalized therapies.
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P1.01 - Advanced NSCLC (ID 158)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 9/08/2019, 09:45 - 18:00, Exhibit Hall
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P1.01-43 - Programmed-Death Ligand 1 Spectrum in a Large Cohort of Genetically Characterized Non-Small Cell Lung Cancer Patients (ID 1760)
09:45 - 18:00 | Author(s): Pedro Jares
- Abstract
Background
Programmed-death ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC), is used to select patients (pts) for checkpoint inhibitors. However, the pattern of PD-L1 expression across rare oncogenic alterations remains poorly characterized. We aimed to evaluate PD-L1 expression in a large dataset of pts with activating molecular alterations to define the potential responsiveness to immunotherapy.
Method
From 2016 to 2018, we prospectively characterized advanced NSCLC pts from a single institution. Tumor Proportion Score (TPS) for PD-L1 protein expression was evaluated by IHC (22C3 clone) using formalin-fixed paraffin-embedded tumor samples and scored into <1% (negative), 1-49% (weakly positive) and >=50% (high). DNA and RNA were extracted and analysed by Oncomine Solid Tumour panel (22 genes) and a customized nCounter-based panel (ALK, ROS1, RET, NTRK1, MET∆14). Associations between PD-L1 expression and the most prevalent driver alterations were assessed. Smoking habit and its possible relationship with PD-L1 expression was also appraised. Statistical analyses were performed using Kruskal-Wallis and Mann-Whitney tests.
Result
TPS for PD-L1 expression was available for a total of 140 patients (pts) fully genotyped. The cohort included: 36% women; 89% adenocarcinoma; 87% smokers. TPS for PD-L1 expression was negative (<1%), weak (1-49%) and high (>=50%) in 40%, 35% and 25% of pts, respectively. Actionable drivers were found in 84 pts (60%) being KRAS (n=43.31%) the most commonly detected, followed by EGFR (n=22.16%), BRAF (n=7.5%), MET∆14 (n=8.6%), ALK (n=3.2%) and ERBB2 (n=1, 1%). Thirty (21.4%) [ME1] pts harboured TP53 co-mutations. By comparing all genotyped cohorts, MET∆14 alteration was associated with higher PD-L1 expression levels compared with other subgroups (median TPS 58.62 vs 25.26, p=0.017[ME2] ). In addition, PD-L1 expression was also higher in pts harbouring any TP53 co-mutation than those with any alteration but TP53-WT (median TPS 41.53 vs 21.45, p=0.035). When KRAS-mut, BRAF-mut and EGFR-mut were evaluated separately, PD-L1 expression was higher in TP53 mutated tumors compared to TP53 WT only in BRAF-mut (p=0.028). Finally, no significant differences were found regarding patients’ smoking status (p=0.527).
Conclusion
Our results suggest differential expression of PD-L1 based on the presence of MET alterations and TP53 mutations and highlight the need of further characterizing PD-L1 expression across oncogenic alterations.
