Functional assessment of somatic STK11 variants identified in primary human non-small cell lung cancers

Author:

Donnelly Liam L1,Hogan Tyler C2,Lenahan Sean M1,Nandagopal Gopika2,Eaton Jenna G2,Lebeau Meagan A2,McCann Cai L3,Sarausky Hailey M1,Hampel Kenneth J1,Armstrong Jordan D1,Cameron Margaret P1,Sidiropoulos Nikoletta14,Deming Paula24,Seward David J14ORCID

Affiliation:

1. Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA

2. Department of Biomedical and Health Sciences, University of Vermont College of Nursing and Health Sciences, Burlington, VT, USA

3. University of Vermont, Burlington, VT, USA

4. University of Vermont Cancer Center, Burlington, VT, USA

Abstract

Abstract Serine/Threonine Kinase 11 (STK11) encodes an important tumor suppressor that is frequently mutated in lung adenocarcinoma. Clinical studies have shown that mutations in STK11 resulting in loss of function correlate with resistance to anti-PD-1 monoclonal antibody therapy in KRAS-driven non-small cell lung cancer (NSCLC), but the molecular mechanisms responsible remain unclear. Despite this uncertainty, STK11 functional status is emerging as a reliable biomarker for predicting non-response to anti-PD-1 therapy in NSCLC patients. The clinical utility of this biomarker ultimately depends upon accurate classification of STK11 variants. For nonsense variants occurring early in the STK11 coding region, this assessment is straightforward. However, rigorously demonstrating the functional impact of missense variants remains an unmet challenge. Here we present data characterizing four STK11 splice-site variants by analyzing tumor mRNA, and 28 STK11 missense variants using an in vitro kinase assay combined with a cell-based p53-dependent luciferase reporter assay. The variants we report were identified in primary human NSCLC biopsies in collaboration with the University of Vermont Genomic Medicine group. Additionally, we compare our experimental results with data from 22 in silico predictive algorithms. Our work highlights the power, utility and necessity of functional variant assessment and will aid STK11 variant curation, provide a platform to assess novel STK11 variants and help guide anti-PD-1 therapy utilization in KRAS-driven NSCLCs.

Funder

UVMMC Department of Pathology and Laboratory Medicine

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,General Medicine

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