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Favorable outcome of patients with lung adenocarcinoma harboring POLE mutations and expressing high PD-L1

Overview of attention for article published in Molecular Cancer, April 2018
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Title
Favorable outcome of patients with lung adenocarcinoma harboring POLE mutations and expressing high PD-L1
Published in
Molecular Cancer, April 2018
DOI 10.1186/s12943-018-0832-y
Pubmed ID
Authors

Liang Liu, Jimmy Ruiz, Stacey S. O’Neill, Stefan C. Grant, W. Jeffrey Petty, Meng Yang, Kexin Chen, Umit Topaloglu, Boris Pasche, Wei Zhang

Abstract

Mutations in polymerase ε (POLE) confer favorable prognosis and outcomes in various cancer types, but their role in non-small cell lung cancer (NSCLC) is unknown. Utilizing the data of 513 patients with adenocarcinoma (LUAD) and 497 patients with squamous cell carcinoma (LUSC) from The Cancer Genome Atlas (TCGA) cohort, we tested the prognostic value of POLE mutations and programmed cell death ligand 1 (PD-L1) expression in the two main subtypes of NSCLC. POLE mutation is a favorable biomarker for the improved overall survival (OS) of the LUSC patients (P = 0.033, 28 mutant vs. 469 wildtype patients), but not that of the LUAD patients (P = 0.12, 31 mutant vs. 482 wildtype patients). POLE-mutant LUAD patients with high expression of PD-L1 (Mut-High, n = 6) exhibited improved OS (P = 0.024) when compared to POLE-mutant patients with low PD-L1 expression (Mut-Low, n = 24) and other patients without POLE mutation (n = 476). This benefit was not due to the high content of the tumor infiltrating lymphocytes. Instead, the antitumor immune response was activated in Mut-High patients so that these patients were likely responding more effectively to immuno-oncology (IO) treatments; whereas genes involved with metabolic pathways were enriched in Mut-Low group, which may cause the decreased OS of these patients. Our study sheds light on the molecular basis of NSCLC and adds to our understanding of responses to chemotherapy and IO therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 12%
Student > Master 3 12%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Professor 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Medicine and Dentistry 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Neuroscience 3 12%
Mathematics 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 12%
Unknown 9 36%