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Likun Chen
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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): Likun Chen
- 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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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): Likun Chen
- 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.
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P1.14 - Targeted Therapy (ID 182)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Targeted Therapy
- Presentations: 1
- Now Available
- Moderators:
- Coordinates: 9/08/2019, 09:45 - 18:00, Exhibit Hall
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P1.14-38 - Identification of FGFR1-3 Fusions in Lung Cancers Using Comprehensive Next-Generation Sequencing (Now Available) (ID 2071)
09:45 - 18:00 | Author(s): Likun Chen
- Abstract
Background
Fusions have been described in the fibroblast growth factor receptors (FGFR) 1-3 genes with multiple partners in a variety of tumors. Here we focused on the prevalence of FGFR fusions in lung cancers for whom might benefit from FGFR inhibitors in clinical development.
Method
We reviewed FGFR alterations in 10833 lung cancer patients (pts) who underwent genetic testing at our institute from 2016 to 2019. Mutation profiles were analyzed using hybridization capture based next-generation sequencing (NGS), which covers all exons of FGFR1-3 and specific intron regions containing the break points of fusions. All patients were also analyzed for mutations in EGFR, KRAS, HER2, BRAF, ALK, RET, MET, ROS1, as well as other oncogenes.
Result
FGFR fusions were identified in 25 lung cancer pts, including 9 adenocarcinoma pts, 4 squamous-cell carcinoma pts, 1 patient with large cell neuroendocrine carcinoma and 11 pts with non-specific pathology. FGFR3-TACC3 fusion was detected in 72% (18/25) of pts and the remaining were previously unreported fusions (table). Concurrent EGFR mutations were identified in 44% (11/25) of pts with FGFR fusions (32%, treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs); 12%, not treated with EGFR-TKIs). PI3K-AKT-MTOR signaling pathway was also activated in 28% (7/25) of pts, and cell-cycle gene alterations were also detected in 16% (4/25) of pts.
ConclusionTable. Frequency of FGFR fusions Fusions
Fusion region
N (%)
FGFR3-TACC3
EX17:EX11
6 (24%)
EX18E:EX11
4 (16%)
EX18E:EX13
2 (8%)
EX17:EX10
2 (8%)
others
4 (16%)
FGFR1-chr8:21672159
EX1:chr8:21672159
1 (4%)
FGFR1-MTUS1
EX19E:EX8
1 (4%)
EFHA2-FGFR1
EX2:EX3
1 (4%)
TNRC18-FGFR1
PMT:EX10
1 (4%)
ZMAT4-FGFR1
EX2:EX2
1 (4%)
ZNF696-FGFR1
EX2:EX18E
1 (4%)
OPALIN-FGFR2
EX6E:EX2
1 (4%)
Total
25 (100%)
FGFR1-3 fusions define a unique molecular subtype of lung cancer. Depending on the concurrent genetic alterations, combined targeted therapy might be an optimal strategy to control tumor growth for these pts.
