ArticleOncotarget2017
Identification of lung adenocarcinoma specific dysregulated genes with diagnostic and prognostic value across 27 TCGA cancer types.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
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- Identification of mRNA Signature for Predicting Prognosis Risk of Rectal Adenocarcinoma.Frontiers in genetics · 2022Article
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- Development and validation of a 10-gene prognostic signature for acute myeloid leukaemia.Journal of cellular and molecular medicine · 2020Article
- Effects of hub genes on the clinicopathological and prognostic features of lung adenocarcinoma.Oncology letters · 2020Article
- A model of twenty-three metabolic-related genes predicting overall survival for lung adenocarcinoma.PeerJ · 2020Article
- A 14 immune-related gene signature predicts clinical outcomes of kidney renal clear cell carcinoma.PeerJ · 2020Article
- Pseudogene CHIAP2 inhibits proliferation and invasion of lung adenocarcinoma cells by means of the WNT pathway.Journal of cellular physiology · 2019Article
- Construction of immune-related risk signature for renal papillary cell carcinoma.Cancer medicine · 2019Article
- Integrated analysis reveals five potential ceRNA biomarkers in human lung adenocarcinoma.PeerJ · 2019Article
- Identification of Prognostic Signatures for Predicting the Overall Survival of Uveal Melanoma Patients.Journal of Cancer · 2019Article
- Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.International journal of medical sciences · 2018Article
- Identification of an eight-gene prognostic signature for lung adenocarcinoma.Cancer management and research · 2018Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the most common histologic subtype of lung cancer, lung adenocarcinoma (LUAD) contributes to a majority of cancer-related deaths worldwide annually. In order to find specific biomarkers of LUAD that are able to distinguish LUAD from other types of cancer so as to improve the early diagnostic and prognostic power in LUAD, we analyzed 10098 tumor tissue samples across 27 TCGA cancer types and identified 112 specific expressed genes in LUAD. Meantime, 8240 LUAD dysregulated genes in tumor and normal samples were identified. Combining with the results of specific expressed genes and dysregulated genes in LUAD, we found there were 70 specific dysregulated genes in LUAD (LUAD-SDGs). Then ROC curve revealed six LUAD-SDGs that may be of strong diagnostic value to predict the existence of cancer (area under curve[AUC] > 95%). Kaplan-Meier survival analysis was performed to identify 6 LUAD-SDGs associated with patients' prognosis (P-values < 0.001). Multivariate Cox proportional hazards regression was employed to demonstrate that the six LUAD-SDGs were independent prognostic factors. Then, we used the six overall survival (OS)-related LUAD-SDGs constructing a six-gene signature. Multivariate Cox regression analysis suggested that the six-gene signature was an independent prognostic factor of other clinical variables (hazard ratio [HR] = 1.5098, 95%CI = 1.2996-1.7538, P < 0.0001). Based on our findings, we first presented the LUAD-SDGs for LUAD diagnosis and prognosis. Our results may provide efficient biomarkers to clinical diagnostic and prognostic evaluation in LUAD.
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