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Bing Li
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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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EP1.01-54 - Implementation of Fine Needle Aspiration of Supraclavicular Lymph Node as a Novel Medium for Genomic Profiling in NSCLC (Now Available) (ID 1171)
08:00 - 18:00 | Author(s): Bing Li
- Abstract
Background
Supraclavicular lymph node (SLN) metastasis is not rare in non-small cell lung cancer (NSCLC). Palpation or B-ultrasound guided fine needle aspiration (FNA) of SLN is a very simple, rapid, and minimally invasive tool for diagnosis of these patients. With the development next generation sequencing (NGS) which has been widely used to catalogue genetic mutations in cancer, uncertainty remains if FNA of lymph node could be combined with NGS and applied in clinical practice. The aim of this study was to evaluate the clinical utility of FNA of SLN in patients with NSCLC
Method
FNA of SLN samples (stored in 10% neutral buffered formalin) and matched plasma samples from 30 patients with NSCLC were collected. Twenty-three patients (both FNA and plasma samples) were sequenced using a panel covering whole exons and critical introns of 520 cancer-related genes and seven patients (both FNA and plasma samples) were profiled using a panel of 168 lung cancer-related genes.
Result
During the procedure of next-generation sequencing library construction, the amount of extracted DNA and qualification percentage of FNA samples (n=30) from lymph nodes were similar to those of punctured lung biopsy samples (n=100, randomly selected from burning Rock database). Comparative analysis of mutation spectrums revealed that mutations were positively identified in 93.3% (28/30) FNA samples and 90.0% (27/30) plasma samples, while mutations of eight well-established lung cancer-related genes (EGFR, ERBB2, MET, BRAF, KRAS, ROS1, ALK and RET) were detected in 83.3% (25/30) FNA samples, which was higher than that in plasma samples (63.3%, 19/30). Moreover, FNA was significantly superior to plasma in detecting copy number variation (CNV) (detection frequencies, 88.9% vs 0.9%, p<0.001), both for CNVs of all genes in NGS panel (99.5% vs 10.0%) and eight well-established genes (96.0% vs 20.0%).
Conclusion
Samples from FNA of SLNs were found to be equivalent to plasma during NGS library construction. Moreover, FNA of SLNs was superior to plasma in detecting mutations of eight lung cancer-related genes, as well as CNVs in both all genes of NGS panel and the 8 key genes. This study provides knowledge for the potential use of FNA of lymph nodes in sequencing genomic profiles of patients with lung cancer, and further support its utility in clinical practice.
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P2.09 - Pathology (ID 174)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Pathology
- Presentations: 1
- Moderators:
- Coordinates: 9/09/2019, 10:15 - 18:15, Exhibit Hall
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P2.09-11 - Genomic Profiling of Pulmonary Lymphoepithelioma-Like Carcinoma (PLELC) (ID 1520)
10:15 - 18:15 | Author(s): Bing Li
- Abstract
Background
PLELC, a rare and distinct type of primary lung cancer, is characterized by Epstein-Barr virus (EBV) infection. Histologically, it resembles undifferentiated nasopharyngeal carcinomas (NPC). Only a few hundred cases have been reported since its discovery. Due to the extreme rareness, its genomic landscape remains elusive.
Method
Tissue samples of 27 PLELC patients (13 males and 14 females) with various stages (Ib to IV) were subjected to targeted sequencing using a panel consisting of 520 cancer-related genes, spanning 1.6Mb of human genome.
Result
Collectively, we identified 184 somatic mutations spanning 109 genes, including 107 SNVs, 12 insertions or deletions (INDELs) and 65 copy-number amplifications (CNAs). Approximately, 50% of patients had CNAs. One patient had no mutation detected from this panel. Except for 2 patients, 1 with HER2 amplification and another with KRAS mutation, no other classic NSCLC driver genes were detected. The most frequently mutated genes were CCND1, TP53, DAXX and NFkBIA, occurring in 30%, 26%, 22% and 22% of patients, respectively. Interestingly, 78% (21/27) patients had mutations in epigenetic regulators. Of the 184 mutations identified, 51 occurred in epigenetics-related genes. Pathway analysis also revealed an enrichment of genes participating in chromatin remodeling and organization. Next, we compared the genomic profile of PLELC with lung adenocarcinoma and EBV positive NPC. The frequency of TP53 mutations was significantly higher in lung adenocarcinoma (68% vs 26%, p=0.021). Comparing to NPC, PLELC had significantly more mutations in epigenetic regulators. TMB analysis revealed a median TMB of 1.6/Mb, significantly lowered than lung adenocarcinomas (p<0.01). We also assessed PD-L1expression and revealed that 67% had an overexpression of PD-L1. Interestingly,TP53-mutant patients were more likely to associated low PD-L1 expression (p<0.01).
Conclusion
In this study, we elucidated a distinct genomic landscape associated with PLELC with no classic NSCLC driver mutation but an enrichment of mutations in epigenetic regulators. The observation of high expression of PD-L1 and lack of canonical druggable driver mutation raises the potential of immunocheckpoint blockade therapy for PLELC.
