ArticleFrontiers in genetics2021
A Novel Six Autophagy-Related Genes Signature Associated With Outcomes and Immune Microenvironment in Lower-Grade Glioma.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- MAP1LC3C repression reduces CIITA- and HLA class II expression in non-small cell lung cancer.PloS one · 2025Article
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- New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction.International journal of cancer · 2023Article
- YTHDF1 Attenuates TBI-Induced Brain-Gut Axis Dysfunction in Mice.International journal of molecular sciences · 2023Article
- Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis.Frontiers in genetics · 2023Article
- ATG101-related signature predicts prognosis and therapeutic option in hepatocellular carcinoma.Scientific reports · 2022Article
- A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.Brain sciences · 2022Article
- Prognosis and immune features of pyroptosis-related RNA patterns in low-grade glioma.Frontiers in oncology · 2022Article
- Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since autophagy and the immune microenvironment are deeply involved in the tumor development and progression of Lower-grade gliomas (LGG), our study aimed to construct an autophagy-related risk model for prognosis prediction and investigate the relationship between the immune microenvironment and risk signature in LGG. Therefore, we identified six autophagy-related genes (BAG1, PTK6, EEF2, PEA15, ITGA6, and MAP1LC3C) to build in the training cohort (
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Registered trials
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