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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Wang, Yanfang Zhang, Quanli Gao, Zhaojia Xin, Shan Zhao, Yanbo Zhang, Kai Shi, Run Bao, Xuanwen |
| Abstract | Background Lung adenocarcinoma (LUAD) patients experiencing lymph node metastasis (LNM) always exhibit poor clinical outcomes. A biomarker or gene signature that could predict survival in these patients would have a substantial clinical impact, allowing for earlier detection of mortality risk and for individualized therapy. Methods With the aim to identify a novel mRNA signature associated with overall survival, we analysed LUAD patients with LNM extracted from The Cancer Genome Atlas (TCGA). LASSO Cox regression was applied to build the prediction model. An external cohort was applied to validate the prediction model. Results We identified a 4-gene signature that could effectively stratify a high-risk subset of these patients, and time-dependent receiver operating characteristic (tROC) analysis indicated that the signature had a powerful predictive ability. Gene Set Enrichment Analysis (GSEA) showed that the high-risk subset was mainly associated with important cancer-related hallmarks. Moreover, a predictive nomogram was established based on the signature integrated with clinicopathological features. Lastly, the signature was validated by an external cohort from Gene Expression Omnibus (GEO). Conclusion In summary, we developed a robust mRNA signature as an independent factor to effectively classify LUAD patients with LNM into low- and high-risk groups, which might provide a basis for personalized treatments for these patients. |
| Related Links | https://cancerci.biomedcentral.com/counter/pdf/10.1186/s12935-019-0822-1.pdf |
| Ending Page | 9 |
| Page Count | 9 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14752867 |
| DOI | 10.1186/s12935-019-0822-1 |
| Journal | Cancer Cell International |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2019-04-16 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Cell Biology Transcriptome Lung adenocarcinoma (LUAD) Lymph node metastasis (LNM) mRNA signature Weighted gene co-expression network analysis (WGCNA) Overall survival (OS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Genetics Oncology |
| Journal Impact Factor | 5.3/2023 |
| 5-Year Journal Impact Factor | 5/2023 |
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