ArticleBMC cancer2020
A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- The downregulation of ubiquitin-specific peptidase 2 indicates a poor prognosis and promotes the progression of gastric cancer through focal adhesion and ECM pathway signaling.Scientific reports · 2025Article
- Article
- Lipid Metabolism-Related Gene Markers Used for Prediction Prognosis, Immune Microenvironment, and Tumor Stage of Pancreatic Cancer.Biochemical genetics · 2024Article
- DSCC1 interacts with HSP90AB1 and promotes the progression of lung adenocarcinoma via regulating ER stress.Cancer cell international · 2023Article
- Drug resistance related genes in lung adenocarcinoma predict patient prognosis and influence the tumor microenvironment.Scientific reports · 2023Article
- Pleckstrin-2-promoted PPM1B degradation plays an important role in transforming growth factor-β-induced breast cancer cell invasion and metastasis.Cancer science · 2023Article
- BAIAP2L2 is a novel prognostic biomarker related to migration and invasion of HCC and associated with cuprotosis.Scientific reports · 2023Article
- An eleven-gene risk model associated with lymph node metastasis predicts overall survival in lung adenocarcinoma.Scientific reports · 2023Article
- Comprehensive analysis of Cuproplasia and immune microenvironment in lung adenocarcinoma.Frontiers in pharmacology · 2023Article
- Comprehensive analysis of the role of SFXN family in breast cancer.Open medicine (Warsaw, Poland) · 2023Article
- Transcriptomic data exploration of consensus genes and molecular mechanisms between chronic obstructive pulmonary disease and lung adenocarcinoma.Scientific reports · 2022Article
- Shared network pattern of lung squamous carcinoma and adenocarcinoma illuminates therapeutic targets for non-small cell lung cancer.Frontiers in surgery · 2022Article
- Characterization of lung adenocarcinoma based on immunophenotyping and constructing an immune scoring model to predict prognosis.Frontiers in pharmacology · 2022Article
- Construction of a Prognosis-Related Gene Signature by Weighted Gene Coexpression Network Analysis in Ewing Sarcoma.Computational and mathematical methods in medicine · 2022Article
- A Six-Gene Risk Model Based on the Immune Score Reveals Prognosis in Intermediate-Risk Acute Myeloid Leukemia.BioMed research international · 2022Article
- [A Nomogram for Prediction of Complications Based on TM&M System of VATS Major Lung Surgery for Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021Article
- Identification and validation of a novel redox-related lncRNA prognostic signature in lung adenocarcinoma.Bioengineered · 2021Article
- Silencing ZIC2 abrogates tumorigenesis and anoikis resistance of non-small cell lung cancer cells by inhibiting Src/FAK signaling.Molecular therapy oncolytics · 2021Article
- Article
- A seven-gene prognostic signature predicts overall survival of patients with lung adenocarcinoma (LUAD).Cancer cell international · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundLung adenocarcinoma (LUAD) is a major cause of cancer death. Therefore, identifying potential prognostic risk factors is critical to improve the survival of patients with LUAD.
methodsHere, relevant datasets were downloaded from TCGA and GEO databases to screen the differentially expressed genes (DEGs). Univariate Cox analysis, LASSO regression analysis and multivariate Cox analysis were conducted on the DEGs combined with TCGA clinical data, and finally a risk assessment model based on 10 feature genes was constructed.
resultsThe prognosis of patients was evaluated after the patients were grouped based on the median risk score and the results showed that the survival time of patients in the high-risk group was significantly shorter than that in the low-risk group. ROC analysis showed that the AUC values of the 1, 3, 5-year survival were 0.753, 0.724, and 0.73, respectively, indicating that the model was precise in predicting the prognosis, which was also verified in the external dataset GSE72094. In addition, a significant correlation was found between the risk score and the clinical stages of LUAD, that is, a later stage always corresponded to a higher risk score. Then, we performed survival analysis on the 10 feature genes independently in the TCGA-LUAD dataset through the GEPIA database, finding that the high expression of 6 genes (COL5A2, PLEK2, BAIAP2L2, S100P, ZIC2, SFXN1) was associated with the poor prognosis of LUAD patients.
conclusionTo sum, this study established a 10-gene risk assessment model and further evaluated its value in predicting LUAD prognosis, which provided a new method for the prognosis prediction of LUAD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.