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Wenying Peng
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EP1.12 - Small Cell Lung Cancer/NET (ID 202)
- Event: WCLC 2019
- Type: E-Poster Viewing in the Exhibit Hall
- Track: Small Cell Lung Cancer/NET
- Presentations: 1
- Now Available
- Moderators:
- Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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EP1.12-10 - Molecular Characterization of NSCLC-Like and SCLC-Like Subsets in Chinese Pulmonary Large-Cell Neuroendocrine Carcinoma (LCNEC) (Now Available) (ID 1341)
08:00 - 18:00 | Author(s): Wenying Peng
- Abstract
Background
LCNEC is an aggressive, biologically heterogenous carcinoma which can be molecularly characterized as SCLC-like and NSCLC-like. Accurate distinction of molecular subset is of major clinical relevance since it may guide treatment choices in LCNEC. Here we determined the genomic characteristics of the two LCNEC subsets in a Chinese cohort to clarify their correlations with traditional lung cancer histologies.
Method
FFPE samples from 31 LCNECs were sequenced using a 520-cancer-related gene panel, with an average sequencing depth of 1385X. Comparative mutational analysis was conducted between NSCLC-like LCNECs from our cohort and adenocarcinomas from TCGA dataset
Result
Despite similar clinical features in terms of stage and age at diagnosis, NSCLC-like (42%, 13/31) and SCLC-like (32%, 10/31) subsets from LCNEC displayed distinct molecular characteristics. NSCLC-like subset harbored significant higher mutation frequencies of STK11, KEAP1 and FAT3 (53.8%, 38.5% and 38.5%, p=.007, .046 and .046), while SCLC-like subset was characterized by highly mutated RB1 (100%, p<.001) and PTEN (50%, p=.007). Compared with TCGA adenocarcinomas, NSCLC-like LCNEC displayed more frequent mutations in TP53, STK11, APC, KMT2D and SMARCA4 (76.9%, 53.8%, 30.8%, 30.8% and 23.1%; p=.043, .004, .045, .005 and .049). In addition, potential targetable alterations were present in 46.2% (6/13) pts of NSCLC-like subset. For those advanced stage pts, 2/5 NSCLC-like and 5/5 SCLC-like pts received relevant chemotherapy according to their molecular characteristics. The clinical outcomes of these pts are still under follow-up.
Conclusion
This study demonstrates the distinct molecular features between NSCLC-like and SCLC-like subsets, and highlights the predominant genomic similarity and separate entities between NSCLC-like LCNEC with adenocarcinoma. Given the evidence that genomic profiling may aid in informing treatment decisions for pts with LCNEC, our study indicates that, based on accurate molecular typing, 46.2% NSCLC-like pts may benefit from potential targeted therapy and the rest of them may be more suitable to receive NSCLC-chemotherapy
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MA14 - The Adequate MTarget Is Still the Issue (ID 140)
- Event: WCLC 2019
- Type: Mini Oral Session
- Track: Advanced NSCLC
- Presentations: 1
- Now Available
- Moderators:Diego Signorelli, Juergen Wolf
- Coordinates: 9/09/2019, 15:45 - 17:15, Hilton Head (1978)
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MA14.01 - Clinical and Genomic Features of Chinese Lung Cancer Patients with Germline Mutations (Now Available) (ID 682)
15:45 - 17:15 | Presenting Author(s): Wenying Peng
- Abstract
- Presentation
Background
Recent studies on next generation sequencing (NGS) data from cancer patients have demonstrated that germline mutations in genetic predisposition genes were more common than previous known in many cancer types including lung cancer. However, most previous studies have focused on western patient population and the germline mutation landscape in Asian lung cancer patients and the clinical and genomic features in these patients are largely unknown.
Method
NGS data from a targeted panel of 1,021 known cancer genes from paired cancer and germline DNA of 1,797 Chinese lung cancer patients was analyzed to identify pathogenic or likely pathogenic (P/LP) germline variants in predisposition genes based on American College of Medical Genetics and Genomics (ACMG) 2015 guideline.
Result
Totally, 5.95% of lung patients were found to harbor germline variants in 35 cancer predisposition genes. The prevalence of germline mutations was higher in patients under 40 compared to older counterparts (10.1% vs 5.74%, p=0.103, Chi-Square test ) although it did not reach statistical significance. However, germline BRCA1/2 mutations were associated with earlier age of onset (median 52.5 vs 60 years-old, p=0.0080 by Mann-Whitney test). Furthermore, patients with P/LP germline mutations had significantly more somatic mutations in KRAS (p=0.012, fisher’s exact test) and c-MET (p=0.018, fisher’s exact test) oncogenes, but less in tumor suppressor gene TP53 (p=0.019, fisher’s exact test). Compared to western lung cancer patients enrolled in TCGA, P/LP germline mutations in BRCA2, FANCA, ATM, MUTYH, BLM, TP53, BRCA1, CHEK2, PMS2, NBN and FANCC were identified in both current Chinese cohort and TCGA cohort with BRCA2 germline mutations significantly more common in Chinese cohort than TCGA cohort (p=0.015, Fisher’s exact test). In addition, RAD51D, FANCD2, BRIP1, MSH6, PMS1, PALB2, RAD51C, SDHA, TSC2, BAP1, CDH1, FLCN, NF1 and RUNX1) were exclusively identified in Chinese patients, while RET, ERCC3, FANCG and VHL were only detected in TCGA cohort.
Conclusion
These results implied that there might be both common and unique cancer predisposition germline mutations for lung cancer between Asian and Western patient populations.
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OA03 - Systemic Therapies for SCLC: Novel Targets and Patients' Selection (ID 121)
- Event: WCLC 2019
- Type: Oral Session
- Track: Small Cell Lung Cancer/NET
- Presentations: 1
- Now Available
- Moderators:Christine Lee Hann, Makoto Nishio
- Coordinates: 9/08/2019, 13:30 - 15:00, Hilton Head (1978)
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OA03.05 - Characterization of Genomic Alterations in Chinese LCNEC and SCLC via Comprehensive Genomic Profiling (Now Available) (ID 1486)
13:30 - 15:00 | Author(s): Wenying Peng
- Abstract
- Presentation
Background
LCNEC and SCLC are aggressive neuroendocrine carcinomas with overlap in clinical, histopathologic, morphologic and genomic features. Differential molecular features between the two subtypes have not been well elucidated, contributing the uncertainty for optimal clinical strategy for each subtype. Here we interrogated the genomic characteristics in LCNEC as compared to SCLC along with their histologically related subtypes: carcinoids and atypical carcinoids via comprehensive genomic profiling.
Method
FFPE samples from 31 LCNECs, 35 SCLCs, 14 carcinoids and 22 atypical carcinoids were sequenced in a CLIA-certified sequencing laboratory using 520-cancer-related gene panel, with an average sequencing depth of 1385X.
Result
Comparative mutational analysis revealed that both LCNEC and SCLC sub-cohorts displayed higher rate of TP53 alterations than that of carcinoid (p<0.001, p<0.001). SCLC patients harbored more RB1 and PIK3CA mutations than LCNECs (p<0.001, p=0.014) and carcinoids (p<0.001, p=0.018). In addition, mutation frequencies of LRP1B, FAT1, PRKDC, PIK3CA, NOTCH1, SPTA1 and EPHA3 in SCLC were significantly higher than that in carcinoid. Mutations in TP53 and RB1 occurred concurrently in 83% (29/35) SCLC patients, whereas in only 32.3% (10/31) LCNECs.（Fig.1） We further investigated the distribution of mutations across KEGG pathways and found that mutation frequencies in both HIF-1 and Notch signaling pathways were lower in LCNEC than SCLC (p=0.032, p=0.025). Copy number variation (CNV) analysis revealed that LCNEC and SCLC had comparable CNVs which were significantly higher than carcinoid (p<0.001, p<0.001) and atypical carcinoid (p=0.010, p=0.028). TMB analysis also revealed a comparable TMB status of LCNEC (12.7/Mb) and SCLC (11.9/Mb), and relatively lower TMB in both carcinoid (2.4/Mb, p<0.001, p<0.001) and atypical carcinoid (5.6/Mb, p=0.003, p=0.009) than LCNEC and SCLC.
Conclusion
We demonstrated the differential genomic characteristics in the four subtypes of neuroendocrine carcinomas. Compared with SCLC, LCNEC has lower mutation frequencies in RB1, PIK3CA, as well as HIF-1 and Notch signaling pathways. In addition, LCNEC and SCLC had comparable CNV and TMB status, which significantly higher than that of carcinoids and atypical carcinoid.
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.
