ArticleFrontiers in immunology2024
Identification and validation of tryptophan-related gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma reveals a critical role for PTTG1.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- CBFA2T3 as a Key Prognostic Biomarker in Lung Adenocarcinoma: Insights from Comprehensive Analysis and Validation.Biochemical genetics · 2026Article
- CCNA2, MAD2L1, AURKA, and PTTG1 promote proliferation and migration in hepatocellular carcinoma.BMC gastroenterology · 2026Article
- PTTG1-DLX2 axis drives malignant progression of lung adenocarcinoma by activating the WNT/β-catenin signaling pathway.Translational cancer research · 2026Article
- Identification of key genes as diagnostic biomarkers for lung adenocarcinoma using bioinformatics and machine learning.Discover oncology · 2026Article
- Identification of glycolysis -correlative features for predicting prognosis and investigating immune landscape in prostate cancer.BMC cancer · 2026Article
- Development and validation of transient receptor potential channel-related signature for predicting prognosis in patients with lung adenocarcinoma.Oncology letters · 2025Article
- Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung adenocarcinoma.Frontiers in immunology · 2025Article
- Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3.Frontiers in immunology · 2025Article
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10 authors.
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Abstract
Introduction: Tryptophan metabolism is strongly associated with immunosuppression and may influence lung adenocarcinoma prognosis as well as tumor microenvironment alterations. Methods: Sequencing datasets were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Two different clusters were identified by consensus clustering, and prognostic models were established based on differentially expressed genes (DEGs) in the two clusters. We investigated differences in mutational landscapes, enrichment pathways, immune cell infiltration, and immunotherapy between high- and low-risk scoring groups. Single-cell sequencing data from Bischoff et al. were used to identify and quantify tryptophan metabolism, and model genes were comprehensively analyzed. Finally, PTTG1 was analyzed at the pan-cancer level by the pan-TCGA cohort. Results: Risk score was defined as an independent prognostic factor for lung adenocarcinoma and was effective in predicting immunotherapy response in patients with lung adenocarcinoma. PTTG1 is one of the key genes, and knockdown of PTTG1 Discussion: Our study revealed the pattern and molecular features of tryptophan metabolism in lung adenocarcinoma patients, established a model of tryptophan metabolism-associated lung adenocarcinoma prognosis, and explored the roles of PTTG1 in lung adenocarcinoma progression, EMT process, and tryptophan metabolism.
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