Development and Validation of a Novel Signature to Predict Overall Survival in "Driver Gene-negative" Lung Adenocarcinoma (LUAD): Results of a Multicenter Study.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 30389658.
- Also identified by DOI 10.1158/1078-0432.CCR-18-2545.
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Abstract
Examining the role of developmental signaling pathways in "driver gene-negative" lung adenocarcinoma (patients with lung adenocarcinoma negative for <i>EGFR, KRAS, BRAF, HER2, MET, ALK, RET</i>, and <i>ROS1</i> were identified as "driver gene-negative") may shed light on the clinical research and treatment for this lung adenocarcinoma subgroup. We aimed to investigate whether developmental signaling pathways activation can stratify the risk of "driver gene-negative" lung adenocarcinoma. In the discovery phase, we profiled the mRNA expression of each candidate gene using genome-wide microarrays in 52 paired lung adenocarcinoma and adjacent normal tissues. In the training phase, tissue microarrays and LASSO Cox regression analysis were applied to further screen candidate molecules in 189 patients, and we developed a predictive signature. In the validation phase, one internal cohort and two external cohorts were used to validate our novel prognostic signature. Kyoto Encyclopedia of Genes and Genomes pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in "driver gene-negative" lung adenocarcinoma. Furthermore, the Wnt/β-catenin pathway-based gene expression profiles revealed 39 transcripts differentially expressed. Finally, a Wnt/β-catenin pathway-based CSDW signature comprising 4 genes (CTNNB1 or <i>β-catenin, SOX9, DVL3</i>, and <i>Wnt2b</i>) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival [HR, 10.42; 6.46-16.79; <i>P</i> < 0.001) than patients with low-risk scores. The CSDW signature is a reliable prognostic tool and may represent genes that are potential drug targets for "driver gene-negative" lung adenocarcinoma.
Medical subject headings
- Adenocarcinoma of Lung
- Oncogene Proteins
- Transcriptome