ArticleThoracic cancer2021
Identification of small proline-rich protein 1B (SPRR1B) as a prognostically predictive biomarker for lung adenocarcinoma by integrative bioinformatic analysis.
Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 26 citations in OpenAlex.
- Multi-omics analysis identified SPRR2D as a potential biomarker for tumor prognosis and immune microenvironment infiltration: a pan-cancer perspective.Future science OA · 2026Article
- TE-SCALE: a comprehensive database for exploring transposable element expression across human cancers at single-cell resolution.Nucleic acids research · 2026Article
- CPA4 overexpression correlates with poor prognosis and tumor progression in endometrial cancer.European journal of medical research · 2025Article
- Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics.Computational and structural biotechnology journal · 2025Article
- Metabolic reprogramming and prognostic modeling in pancreatic cancer: insights from WGCNA.Frontiers in genetics · 2025Article
- Risk scoring model for lung adenocarcinoma based on PD-L1 related signature reveals prognostic predictability and correlation with tumor immune microenvironment genes was constructed.Frontiers in immunology · 2025Article
- SPRR1B+ keratinocytes prime oral mucosa for rapid wound healing via STAT3 activation.Communications biology · 2024Article
- Establishing and Validating an Innovative Focal Adhesion-Linked Gene Signature for Enhanced Prognostic Assessment in Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Targeting proprotein convertase subtilisin/kexin type 9 (PCSK9): from bench to bedside.Signal transduction and targeted therapy · 2024Review
- SPRR1B is Related to the Immune Microenvironment and Can Be Used as a Biomarker for the Diagnosis of Psoriasis.International journal of general medicine · 2024Article
- An integrated single-cell transcriptomic dataset for non-small cell lung cancer.Scientific data · 2023Article
- Construction and comprehensive analysis of a novel prognostic signature associated with pyroptosis molecular subtypes in patients with pancreatic adenocarcinoma.Frontiers in immunology · 2023Article
- Deep-Learning Algorithm and Concomitant Biomarker Identification for NSCLC Prediction Using Multi-Omics Data Integration.Biomolecules · 2022Article
- Development and validation of an epithelial-mesenchymal transition-related gene signature for predicting prognosis.World journal of clinical cases · 2022Article
- Comprehensive Integrated Single-Cell Whole Transcriptome Analysis Revealed the p-EMT Tumor Cells-CAFs Communication in Oral Squamous Cell Carcinoma.International journal of molecular sciences · 2022Article
- Epigenetic Alterations of DNA Methylation and miRNA Contribution to Lung Adenocarcinoma.Frontiers in genetics · 2022Article
- Combining EGFR-TKI With SAHA Overcomes EGFR-TKI-Acquired Resistance by Reducing the Protective Autophagy in Non-Small Cell Lung Cancer.Frontiers in chemistry · 2022Article
- Identification of Potential Key Biomarkers and Immune Infiltration in Oral Lichen Planus.Disease markers · 2022Article
- Exploration of the prognostic signature reflecting tumor microenvironment of lung adenocarcinoma based on immunologically relevant genes.Bioengineered · 2021Article
- Identification of small proline-rich protein 1B (SPRR1B) as a prognostically predictive biomarker for lung adenocarcinoma by integrative bioinformatic analysis.Thoracic cancer · 2021Article
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundWith the ongoing development of targeted therapy and immunotherapy in recent years, the overall five-year survival rate of NSCLC patients has not improved, and the search for novel diagnostic and prognostic markers for lung adenocarcinoma continues.
methodsLung adenocarcinoma (LUAD) gene expression data and relevant clinical information were obtained from the TCGA. Hub genes were identified with weighted gene co-expression network analysis (WGCNA) and protein-protein interaction network (PPI). Survival analyses were also performed using GEPIA. The 536 LUAD patients were divided into two groups according to the SPRR1B expression level and analyzed by gene set enrichment analysis (GSEA) and verified by immunoblotting. The effects of SPRR1B on cell proliferation and cell metastasis and apoptosis were evaluated by 5-ethynyl-2'-deoxyuridine (EdU) staining, colony formation assay, transwell migration and invasion assay, and flow cytometry, respectively.
resultsA total of 2269 DEGs were analyzed by WGCNA and five hub genes (CCK, FETUB, PCSK9, SPRR1B, and SPRR2D) were identified. Among them, SPRR1B was selected as one of the most significant prognostic genes in LUAD. SPRR1B was found to be highly expressed in lung adenocarcinoma cells compared with that in normal bronchial epithelial cells. In addition, silencing of SPRR1B could inhibit the cell proliferation, invasion, and migration of lung adenocarcinoma cells, but induced cell apoptosis and G2/M phase arrest in vitro. The result of GSEA and immunoblotting revealed that SPRR1B activated the MAPK signaling pathway involved in the proliferation and metastasis of lung cancer.
conclusionsOur findings demonstrate that SPRR1B may function as a prognosis predictor in lung adenocarcinoma.
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