ArticleFrontiers in immunology2022
The Comprehensive Analysis Identified an Autophagy Signature for the Prognosis and the Immunotherapy Efficiency Prediction in Lung Adenocarcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed, 51 citations in OpenAlex.
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- Metabolic reprogramming signature predicts immunotherapy efficacy in lung adenocarcinoma: TargetingChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025Article
- Exploring the expression and prognostic roles of LAD1 in lung adenocarcinoma.Scientific reports · 2025Article
- Development of a novel prognostic model based on laminin α5, associated with immune infiltration and therapeutic response in ovarian cancer utilizing online resources.European journal of medical research · 2025Article
- Polydatin ameliorates ovalbumin-induced asthma in a rat model through NCOA4-mediated ferroautophagy and ferroptosis pathway.FEBS open bio · 2025Article
- Sevoflurane, as opposed to pentobarbital anesthesia, attenuates LPS-induced myocardial injury by up-regulating TAF1D.Scientific reports · 2025Article
- HNRNPH1 promotes autophagy to inhibit the development of lung adenocarcinoma via the HSP90AB1/MAP1LC3B axis.Respiratory research · 2025Article
- Transcriptomic profiles of single-cell autophagy-related genes (ATGs) in lung diseases.Cell biology and toxicology · 2025Article
- Stepwise single-cell data identifies RNA binding proteins associated with the development of head and neck cancer and tumor microenvironment remodeling.Cancer biomarkers : section A of Disease markers · 2025Article
- Article
- Cholesterol metabolism shapes immune low-response states in LUAD: a multi-omics cholesterol metabolism signature predicts immunotherapy benefit and identifies DHCR7 as a therapeutic target.Frontiers in immunology · 2025Article
- Cellular Heterogeneity and IL-17 Pathway Dynamics Reveal Insights into the Transition from Ulcerative Colitis to Colorectal Cancer Through scRNA-Seq Analysis.Journal of inflammation research · 2025Article
- Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.Journal of cellular and molecular medicine · 2024Article
- Development of a novel centrosome-related risk signature to predict prognosis and treatment response in lung adenocarcinoma.Discover oncology · 2024Article
- Article
- Identification of Cuproptosis-Associated Prognostic Gene Expression Signatures from 20 Tumor Types.Biology · 2024Article
- ENO2 in progression and treatment of colon adenocarcinoma: integrative bioinformatics analysis on non-apoptotic cell death.Discover oncology · 2024Article
- Dexmedetomidine attenuates acute stress-impaired learning and memory in mice by maintaining the homeostasis of intestinal flora.European journal of medical research · 2024Article
- Necroptosis-related KLRB1 was a potent tumor suppressor and immunotherapy determinant in breast cancer.Heliyon · 2024Article
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lung adenocarcinoma (LUAD) is a fatal malignancy in the world. Growing evidence demonstrated that autophagy-related genes regulated the immune cell infiltration and correlated with the prognosis of LUAD. However, the autophagy-based signature that can predict the prognosis and the efficiency of checkpoint immunotherapy in LUAD patients is yet to be discovered. Methods: We used conventional autophagy-related genes to screen candidates for signature construction in TCGA cohort and 9 GEO datasets (tumor samples, n=2181; normal samples, n=419). An autophagy-based signature was constructed, its correlation with the prognosis and the immune infiltration of LUAD patients was explored. The prognostic value of the autophagy-based signature was validated in an independent cohort with 70 LUAD patients. Single-cell sequencing data was used to further characterize the various immunological patterns in tumors with different signature levels. Moreover, the predictive value of autophagy-based signature in PD-1 immunotherapy was explored in the IMvigor210 dataset. At last, the protective role of DRAM1 in LUAD was validated by Results: After screening autophagy-related gene candidates, a signature composed by CCR2, ITGB1, and DRAM1 was established with the ATscore in each sample. Further analyses showed that the ATscore was significantly associated with immune cell infiltration and low ATscore indicated poor prognosis. Meanwhile, the prognostic value of ATscore was validated in our independent LUAD cohort. GSEA analyses and single-cell sequencing analyses revealed that ATscore was associated with the immunological status of LUAD tumors, and ATscore could predict the efficacy of PD-1 immunotherapy. Moreover, Conclusion: Our study identified a new autophagy-based signature that can predict the prognosis of LUAD patients, and this ATscore has potential applicative value in the checkpoint therapy efficiency prediction.
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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.