scholarly journals Improving differential diagnosis of pulmonary large cell neuroendocrine carcinoma and small cell lung cancer via a transcriptomic, biological pathway-based machine learning model

2021 ◽  
Vol 14 (12) ◽  
pp. 101222
Author(s):  
Junhong Guo ◽  
Likun Hou ◽  
Wei Zhang ◽  
Zhengwei Dong ◽  
Lei Zhang ◽  
...  
2018 ◽  
pp. 1-12
Author(s):  
Young Kwang Chae ◽  
Keerthi B. Tamragouri ◽  
Jon Chung ◽  
Xiaoqi Lin ◽  
Vincent Miller ◽  
...  

Purpose In advanced stages, large-cell neuroendocrine carcinoma of the lung (L-LCNEC) mimics small-cell lung cancer despite its traditional classification as a non–small-cell lung cancer. Here we present a focused analysis of BRAF mutations in this population. Patients and Methods Comprehensive genomic profiling of tumor tissues was performed from a cohort of 300 patients with biopsy-proven L-LCNEC. Specimens were either from a primary lung lesion or metastatic site. Results In 13 patients, 14 unique BRAF alterations (amplifications, mutations) were identified. The importance of biomarker-driven therapy is subsequently highlighted with our case of a 69-year-old man diagnosed with metastatic L-LCNEC who did not respond to cisplatin plus etoposide. A significant durable response was then demonstrated with therapy targeted toward a BRAF non-V600E activating mutation (G469R) associated with biomarker response identified through circulating cell-free tumor DNA analysis. A change in clonal allele frequency from nearly 40% to nondetectable was observed. Conclusion Although uncommon, L-LCNEC does seem to contain activating and therefore actionable alterations. We thus highlight the value of pursuing next-generation sequencing for patients with this disease.


Lung Cancer ◽  
2020 ◽  
Vol 145 ◽  
pp. 126-131
Author(s):  
Daniel Morgensztern ◽  
Melissa Johnson ◽  
Charles M. Rudin ◽  
Michael Rossi ◽  
Mirella Lazarov ◽  
...  

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