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Updated: Mar 25, 2026

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
A Sensitive NanoString-Based Assay to Score STK11 (LKB1) Pathway Disruption in Lung Adenocarcinoma
Lu Chen1, Brienne E Engel2, Eric A Welsh3
1Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida; Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Introduction:
Serine/threonine kinase 11 gene (STK11), better known as liver kinase β1, is a tumor suppressor that is commonly mutated in lung adenocarcinoma (LUAD). Previous work has shown that mutational inactivation of the STK11 pathway may serve as a predictive biomarker for cancer treatments, including phenformin and cyclooxygenase-2 inhibition. Although immunohistochemical (IHC) staining and diagnostic sequencing are used to measure STK11 pathway disruption, there are serious limitations to these methods, thus emphasizing the importance of validating a clinically useful assay.
Methods:
An initial STK11 mutation mRNA signature was generated using cell line data and refined using three large, independent patient databases. The signature was validated as a classifier using The Cancer Genome Atlas (TCGA) LUAD cohort as well as a 442-patient LUAD cohort developed at Moffitt. Finally, the signature was adapted to a NanoString-based format and validated using RNA samples isolated from formalin-fixed, paraffin-embedded tissue blocks corresponding to a cohort of 150 patients with LUAD. For comparison, STK11 IHC staining was also performed.
Results:
The STK11 signature was found to correlate with null mutations identified by exon sequencing in multiple cohorts using both microarray and NanoString formats. Although there was a statistically significant correlation between reduced STK11 protein expression by IHC staining and mutation status, the NanoString-based assay showed superior overall performance, with a -0.1588 improvement in area under the curve in receiver-operator characteristic curve analysis (p < 0.012).
Conclusion:
The described NanoString-based STK11 assay is a sensitive biomarker to study emerging therapeutic modalities in clinical trials.
Insights
A new NanoString-based assay accurately detects STK11 gene mutations in lung adenocarcinoma (LUAD). This assay is a sensitive biomarker for predicting treatment response in LUAD patients.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Serine/threonine kinase 11 (STK11) is a tumor suppressor frequently mutated in lung adenocarcinoma (LUAD).
- STK11 pathway inactivation is a predictive biomarker for targeted cancer therapies.
- Current methods for assessing STK11 disruption have limitations, necessitating a clinically viable assay.
Purpose of the Study:
- To develop and validate a novel NanoString-based assay for detecting STK11 mutations in LUAD.
- To compare the performance of the NanoString assay against traditional STK11 immunohistochemistry (IHC) staining.
Main Methods:
- An STK11 mutation mRNA signature was generated and refined using patient data.
- The signature was validated as a classifier in independent LUAD cohorts.
- The assay was adapted to a NanoString platform and validated on formalin-fixed, paraffin-embedded tissues.
Main Results:
- The STK11 signature correlated with null mutations identified by sequencing across multiple cohorts.
- The NanoString-based assay demonstrated superior performance compared to IHC staining.
- Receiver-operator characteristic curve analysis showed a significant improvement in the NanoString assay's predictive accuracy.
Conclusions:
- The NanoString-based STK11 assay is a sensitive and reliable biomarker.
- This assay can be utilized to study emerging therapeutic strategies in clinical trials for LUAD.
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